Invalid JSON:Unexpected token 'N', ..."ad_norm": NaN,
"... is not valid JSON
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.21238938053097345, | |
| "eval_steps": 40, | |
| "global_step": 240, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.0008849557522123894, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0, | |
| "loss": 5.8564, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.0017699115044247787, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0, | |
| "loss": 7.1716, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.002654867256637168, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0, | |
| "loss": 5.9095, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.0035398230088495575, | |
| "grad_norm": 21.95326805114746, | |
| "learning_rate": 3.5377358490566036e-09, | |
| "loss": 5.0841, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.004424778761061947, | |
| "grad_norm": 16.607179641723633, | |
| "learning_rate": 7.075471698113207e-09, | |
| "loss": 4.0184, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.005309734513274336, | |
| "grad_norm": 33.789615631103516, | |
| "learning_rate": 1.0613207547169811e-08, | |
| "loss": 6.2191, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.006194690265486726, | |
| "grad_norm": 28.073551177978516, | |
| "learning_rate": 1.4150943396226414e-08, | |
| "loss": 5.6124, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.007079646017699115, | |
| "grad_norm": 17.365602493286133, | |
| "learning_rate": 1.768867924528302e-08, | |
| "loss": 3.9544, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.007964601769911504, | |
| "grad_norm": 19.384475708007812, | |
| "learning_rate": 2.1226415094339622e-08, | |
| "loss": 4.7149, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.008849557522123894, | |
| "grad_norm": 19.67770004272461, | |
| "learning_rate": 2.4764150943396227e-08, | |
| "loss": 4.9616, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.009734513274336283, | |
| "grad_norm": 24.233421325683594, | |
| "learning_rate": 2.830188679245283e-08, | |
| "loss": 5.2794, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.010619469026548672, | |
| "grad_norm": Infinity, | |
| "learning_rate": 2.830188679245283e-08, | |
| "loss": 8.8704, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.011504424778761062, | |
| "grad_norm": 34.37785720825195, | |
| "learning_rate": 3.183962264150943e-08, | |
| "loss": 6.0707, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.012389380530973451, | |
| "grad_norm": 25.11741065979004, | |
| "learning_rate": 3.537735849056604e-08, | |
| "loss": 5.4071, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.01327433628318584, | |
| "grad_norm": 53.84364700317383, | |
| "learning_rate": 3.891509433962264e-08, | |
| "loss": 6.9104, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.01415929203539823, | |
| "grad_norm": 32.0903434753418, | |
| "learning_rate": 4.2452830188679244e-08, | |
| "loss": 6.0276, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.01504424778761062, | |
| "grad_norm": 39.742130279541016, | |
| "learning_rate": 4.599056603773585e-08, | |
| "loss": 6.737, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.01592920353982301, | |
| "grad_norm": 45.267417907714844, | |
| "learning_rate": 4.9528301886792454e-08, | |
| "loss": 6.5354, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.016814159292035398, | |
| "grad_norm": 22.39731788635254, | |
| "learning_rate": 5.3066037735849055e-08, | |
| "loss": 5.206, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.017699115044247787, | |
| "grad_norm": 20.858232498168945, | |
| "learning_rate": 5.660377358490566e-08, | |
| "loss": 5.2469, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.018584070796460177, | |
| "grad_norm": 23.96446990966797, | |
| "learning_rate": 6.014150943396226e-08, | |
| "loss": 5.3771, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.019469026548672566, | |
| "grad_norm": 22.945741653442383, | |
| "learning_rate": 6.367924528301887e-08, | |
| "loss": 4.979, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.020353982300884955, | |
| "grad_norm": 15.497300148010254, | |
| "learning_rate": 6.721698113207547e-08, | |
| "loss": 4.7909, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 0.021238938053097345, | |
| "grad_norm": 20.039024353027344, | |
| "learning_rate": 7.075471698113208e-08, | |
| "loss": 4.9086, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.022123893805309734, | |
| "grad_norm": 21.30576515197754, | |
| "learning_rate": 7.429245283018869e-08, | |
| "loss": 4.8826, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.023008849557522124, | |
| "grad_norm": 64.5285873413086, | |
| "learning_rate": 7.783018867924529e-08, | |
| "loss": 8.2266, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 0.023893805309734513, | |
| "grad_norm": 59.894893646240234, | |
| "learning_rate": 8.13679245283019e-08, | |
| "loss": 8.3024, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 0.024778761061946902, | |
| "grad_norm": 25.504356384277344, | |
| "learning_rate": 8.490566037735849e-08, | |
| "loss": 5.8745, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 0.02566371681415929, | |
| "grad_norm": 15.169568061828613, | |
| "learning_rate": 8.84433962264151e-08, | |
| "loss": 4.7298, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 0.02654867256637168, | |
| "grad_norm": 24.09995460510254, | |
| "learning_rate": 9.19811320754717e-08, | |
| "loss": 5.4614, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.02743362831858407, | |
| "grad_norm": 28.669275283813477, | |
| "learning_rate": 9.55188679245283e-08, | |
| "loss": 5.8594, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 0.02831858407079646, | |
| "grad_norm": 23.37987518310547, | |
| "learning_rate": 9.905660377358491e-08, | |
| "loss": 5.2401, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 0.02920353982300885, | |
| "grad_norm": 22.815292358398438, | |
| "learning_rate": 1.0259433962264152e-07, | |
| "loss": 5.1579, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 0.03008849557522124, | |
| "grad_norm": 13.775344848632812, | |
| "learning_rate": 1.0613207547169811e-07, | |
| "loss": 5.2181, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 0.030973451327433628, | |
| "grad_norm": 18.642087936401367, | |
| "learning_rate": 1.0966981132075472e-07, | |
| "loss": 4.6328, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 0.03185840707964602, | |
| "grad_norm": 18.041406631469727, | |
| "learning_rate": 1.1320754716981131e-07, | |
| "loss": 2.121, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 0.03274336283185841, | |
| "grad_norm": 23.423933029174805, | |
| "learning_rate": 1.1674528301886792e-07, | |
| "loss": 5.9026, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 0.033628318584070796, | |
| "grad_norm": 46.25591278076172, | |
| "learning_rate": 1.2028301886792452e-07, | |
| "loss": 7.3796, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 0.034513274336283185, | |
| "grad_norm": 20.376422882080078, | |
| "learning_rate": 1.2382075471698114e-07, | |
| "loss": 5.5361, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 0.035398230088495575, | |
| "grad_norm": 12.82562255859375, | |
| "learning_rate": 1.2735849056603773e-07, | |
| "loss": 4.0243, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.035398230088495575, | |
| "eval_Qnli-dev_cosine_accuracy": 0.5859375, | |
| "eval_Qnli-dev_cosine_accuracy_threshold": 0.9302856922149658, | |
| "eval_Qnli-dev_cosine_ap": 0.5480269179285036, | |
| "eval_Qnli-dev_cosine_f1": 0.6315789473684211, | |
| "eval_Qnli-dev_cosine_f1_threshold": 0.7634451389312744, | |
| "eval_Qnli-dev_cosine_precision": 0.4633663366336634, | |
| "eval_Qnli-dev_cosine_recall": 0.9915254237288136, | |
| "eval_Qnli-dev_dot_accuracy": 0.5859375, | |
| "eval_Qnli-dev_dot_accuracy_threshold": 714.4895629882812, | |
| "eval_Qnli-dev_dot_ap": 0.548060663242546, | |
| "eval_Qnli-dev_dot_f1": 0.6315789473684211, | |
| "eval_Qnli-dev_dot_f1_threshold": 586.342529296875, | |
| "eval_Qnli-dev_dot_precision": 0.4633663366336634, | |
| "eval_Qnli-dev_dot_recall": 0.9915254237288136, | |
| "eval_Qnli-dev_euclidean_accuracy": 0.5859375, | |
| "eval_Qnli-dev_euclidean_accuracy_threshold": 10.348224639892578, | |
| "eval_Qnli-dev_euclidean_ap": 0.5480269179285036, | |
| "eval_Qnli-dev_euclidean_f1": 0.6315789473684211, | |
| "eval_Qnli-dev_euclidean_f1_threshold": 19.05518341064453, | |
| "eval_Qnli-dev_euclidean_precision": 0.4633663366336634, | |
| "eval_Qnli-dev_euclidean_recall": 0.9915254237288136, | |
| "eval_Qnli-dev_manhattan_accuracy": 0.59765625, | |
| "eval_Qnli-dev_manhattan_accuracy_threshold": 175.22628784179688, | |
| "eval_Qnli-dev_manhattan_ap": 0.5780924813828909, | |
| "eval_Qnli-dev_manhattan_f1": 0.6291834002677376, | |
| "eval_Qnli-dev_manhattan_f1_threshold": 334.39178466796875, | |
| "eval_Qnli-dev_manhattan_precision": 0.4598825831702544, | |
| "eval_Qnli-dev_manhattan_recall": 0.9957627118644068, | |
| "eval_Qnli-dev_max_accuracy": 0.59765625, | |
| "eval_Qnli-dev_max_accuracy_threshold": 714.4895629882812, | |
| "eval_Qnli-dev_max_ap": 0.5780924813828909, | |
| "eval_Qnli-dev_max_f1": 0.6315789473684211, | |
| "eval_Qnli-dev_max_f1_threshold": 586.342529296875, | |
| "eval_Qnli-dev_max_precision": 0.4633663366336634, | |
| "eval_Qnli-dev_max_recall": 0.9957627118644068, | |
| "eval_allNLI-dev_cosine_accuracy": 0.6640625, | |
| "eval_allNLI-dev_cosine_accuracy_threshold": 0.9888672828674316, | |
| "eval_allNLI-dev_cosine_ap": 0.32886365768247516, | |
| "eval_allNLI-dev_cosine_f1": 0.5095729013254787, | |
| "eval_allNLI-dev_cosine_f1_threshold": 0.7477295398712158, | |
| "eval_allNLI-dev_cosine_precision": 0.34189723320158105, | |
| "eval_allNLI-dev_cosine_recall": 1.0, | |
| "eval_allNLI-dev_dot_accuracy": 0.6640625, | |
| "eval_allNLI-dev_dot_accuracy_threshold": 759.483154296875, | |
| "eval_allNLI-dev_dot_ap": 0.3288581611938815, | |
| "eval_allNLI-dev_dot_f1": 0.5095729013254787, | |
| "eval_allNLI-dev_dot_f1_threshold": 574.2760620117188, | |
| "eval_allNLI-dev_dot_precision": 0.34189723320158105, | |
| "eval_allNLI-dev_dot_recall": 1.0, | |
| "eval_allNLI-dev_euclidean_accuracy": 0.6640625, | |
| "eval_allNLI-dev_euclidean_accuracy_threshold": 3.8085508346557617, | |
| "eval_allNLI-dev_euclidean_ap": 0.32886365768247516, | |
| "eval_allNLI-dev_euclidean_f1": 0.5095729013254787, | |
| "eval_allNLI-dev_euclidean_f1_threshold": 19.684810638427734, | |
| "eval_allNLI-dev_euclidean_precision": 0.34189723320158105, | |
| "eval_allNLI-dev_euclidean_recall": 1.0, | |
| "eval_allNLI-dev_manhattan_accuracy": 0.6640625, | |
| "eval_allNLI-dev_manhattan_accuracy_threshold": 65.93238830566406, | |
| "eval_allNLI-dev_manhattan_ap": 0.33852594919898543, | |
| "eval_allNLI-dev_manhattan_f1": 0.5058479532163743, | |
| "eval_allNLI-dev_manhattan_f1_threshold": 335.4263916015625, | |
| "eval_allNLI-dev_manhattan_precision": 0.3385518590998043, | |
| "eval_allNLI-dev_manhattan_recall": 1.0, | |
| "eval_allNLI-dev_max_accuracy": 0.6640625, | |
| "eval_allNLI-dev_max_accuracy_threshold": 759.483154296875, | |
| "eval_allNLI-dev_max_ap": 0.33852594919898543, | |
| "eval_allNLI-dev_max_f1": 0.5095729013254787, | |
| "eval_allNLI-dev_max_f1_threshold": 574.2760620117188, | |
| "eval_allNLI-dev_max_precision": 0.34189723320158105, | |
| "eval_allNLI-dev_max_recall": 1.0, | |
| "eval_sequential_score": 0.5780924813828909, | |
| "eval_sts-test_pearson_cosine": 0.1533465318414369, | |
| "eval_sts-test_pearson_dot": 0.15333057450060855, | |
| "eval_sts-test_pearson_euclidean": 0.1664717893342273, | |
| "eval_sts-test_pearson_manhattan": 0.20717970064899288, | |
| "eval_sts-test_pearson_max": 0.20717970064899288, | |
| "eval_sts-test_spearman_cosine": 0.18786210334203038, | |
| "eval_sts-test_spearman_dot": 0.1878347337472397, | |
| "eval_sts-test_spearman_euclidean": 0.18786046572196458, | |
| "eval_sts-test_spearman_manhattan": 0.22429466463153608, | |
| "eval_sts-test_spearman_max": 0.22429466463153608, | |
| "eval_vitaminc-pairs_loss": 2.901831865310669, | |
| "eval_vitaminc-pairs_runtime": 4.078, | |
| "eval_vitaminc-pairs_samples_per_second": 31.388, | |
| "eval_vitaminc-pairs_steps_per_second": 0.245, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.035398230088495575, | |
| "eval_negation-triplets_loss": 5.690315246582031, | |
| "eval_negation-triplets_runtime": 0.7141, | |
| "eval_negation-triplets_samples_per_second": 179.254, | |
| "eval_negation-triplets_steps_per_second": 1.4, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.035398230088495575, | |
| "eval_scitail-pairs-pos_loss": 2.1135852336883545, | |
| "eval_scitail-pairs-pos_runtime": 0.8282, | |
| "eval_scitail-pairs-pos_samples_per_second": 154.543, | |
| "eval_scitail-pairs-pos_steps_per_second": 1.207, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.035398230088495575, | |
| "eval_scitail-pairs-qa_loss": 2.8052029609680176, | |
| "eval_scitail-pairs-qa_runtime": 0.5471, | |
| "eval_scitail-pairs-qa_samples_per_second": 233.943, | |
| "eval_scitail-pairs-qa_steps_per_second": 1.828, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.035398230088495575, | |
| "eval_xsum-pairs_loss": 6.583061695098877, | |
| "eval_xsum-pairs_runtime": 2.8921, | |
| "eval_xsum-pairs_samples_per_second": 44.259, | |
| "eval_xsum-pairs_steps_per_second": 0.346, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.035398230088495575, | |
| "eval_sciq_pairs_loss": 0.8882207870483398, | |
| "eval_sciq_pairs_runtime": 3.7993, | |
| "eval_sciq_pairs_samples_per_second": 33.69, | |
| "eval_sciq_pairs_steps_per_second": 0.263, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.035398230088495575, | |
| "eval_qasc_pairs_loss": 4.1147541999816895, | |
| "eval_qasc_pairs_runtime": 0.6768, | |
| "eval_qasc_pairs_samples_per_second": 189.125, | |
| "eval_qasc_pairs_steps_per_second": 1.478, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.035398230088495575, | |
| "eval_openbookqa_pairs_loss": 5.096628665924072, | |
| "eval_openbookqa_pairs_runtime": 0.5776, | |
| "eval_openbookqa_pairs_samples_per_second": 221.615, | |
| "eval_openbookqa_pairs_steps_per_second": 1.731, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.035398230088495575, | |
| "eval_msmarco_pairs_loss": 10.391141891479492, | |
| "eval_msmarco_pairs_runtime": 1.2577, | |
| "eval_msmarco_pairs_samples_per_second": 101.77, | |
| "eval_msmarco_pairs_steps_per_second": 0.795, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.035398230088495575, | |
| "eval_nq_pairs_loss": 10.903197288513184, | |
| "eval_nq_pairs_runtime": 2.5051, | |
| "eval_nq_pairs_samples_per_second": 51.095, | |
| "eval_nq_pairs_steps_per_second": 0.399, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.035398230088495575, | |
| "eval_trivia_pairs_loss": 7.190384387969971, | |
| "eval_trivia_pairs_runtime": 3.6482, | |
| "eval_trivia_pairs_samples_per_second": 35.085, | |
| "eval_trivia_pairs_steps_per_second": 0.274, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.035398230088495575, | |
| "eval_gooaq_pairs_loss": 8.193528175354004, | |
| "eval_gooaq_pairs_runtime": 0.9648, | |
| "eval_gooaq_pairs_samples_per_second": 132.67, | |
| "eval_gooaq_pairs_steps_per_second": 1.036, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.035398230088495575, | |
| "eval_paws-pos_loss": 1.3942564725875854, | |
| "eval_paws-pos_runtime": 0.6718, | |
| "eval_paws-pos_samples_per_second": 190.538, | |
| "eval_paws-pos_steps_per_second": 1.489, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.035398230088495575, | |
| "eval_global_dataset_loss": 5.671571731567383, | |
| "eval_global_dataset_runtime": 23.0452, | |
| "eval_global_dataset_samples_per_second": 28.77, | |
| "eval_global_dataset_steps_per_second": 0.26, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.036283185840707964, | |
| "grad_norm": 18.026830673217773, | |
| "learning_rate": 1.3089622641509433e-07, | |
| "loss": 4.9072, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 0.03716814159292035, | |
| "grad_norm": 15.423810958862305, | |
| "learning_rate": 1.3443396226415095e-07, | |
| "loss": 3.4439, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 0.03805309734513274, | |
| "grad_norm": 16.31403160095215, | |
| "learning_rate": 1.3797169811320754e-07, | |
| "loss": 4.9787, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 0.03893805309734513, | |
| "grad_norm": 21.37955093383789, | |
| "learning_rate": 1.4150943396226417e-07, | |
| "loss": 5.8318, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 0.03982300884955752, | |
| "grad_norm": 18.23583984375, | |
| "learning_rate": 1.4504716981132076e-07, | |
| "loss": 5.3226, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 0.04070796460176991, | |
| "grad_norm": 20.878713607788086, | |
| "learning_rate": 1.4858490566037738e-07, | |
| "loss": 5.1181, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 0.0415929203539823, | |
| "grad_norm": 18.71149444580078, | |
| "learning_rate": 1.5212264150943398e-07, | |
| "loss": 4.7834, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 0.04247787610619469, | |
| "grad_norm": 38.85902786254883, | |
| "learning_rate": 1.5566037735849057e-07, | |
| "loss": 6.6303, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 0.04336283185840708, | |
| "grad_norm": 37.41562271118164, | |
| "learning_rate": 1.591981132075472e-07, | |
| "loss": 5.8171, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 0.04424778761061947, | |
| "grad_norm": 17.541080474853516, | |
| "learning_rate": 1.627358490566038e-07, | |
| "loss": 5.1962, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.04513274336283186, | |
| "grad_norm": 16.145116806030273, | |
| "learning_rate": 1.6627358490566038e-07, | |
| "loss": 5.2096, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 0.04601769911504425, | |
| "grad_norm": 20.175189971923828, | |
| "learning_rate": 1.6981132075471698e-07, | |
| "loss": 5.0943, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 0.046902654867256637, | |
| "grad_norm": 13.441214561462402, | |
| "learning_rate": 1.733490566037736e-07, | |
| "loss": 4.9038, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 0.047787610619469026, | |
| "grad_norm": 13.396607398986816, | |
| "learning_rate": 1.768867924528302e-07, | |
| "loss": 4.6479, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 0.048672566371681415, | |
| "grad_norm": 13.68046760559082, | |
| "learning_rate": 1.804245283018868e-07, | |
| "loss": 5.5098, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 0.049557522123893805, | |
| "grad_norm": 13.278443336486816, | |
| "learning_rate": 1.839622641509434e-07, | |
| "loss": 4.6979, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 0.050442477876106194, | |
| "grad_norm": 15.295453071594238, | |
| "learning_rate": 1.875e-07, | |
| "loss": 3.1969, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 0.05132743362831858, | |
| "grad_norm": 12.185781478881836, | |
| "learning_rate": 1.910377358490566e-07, | |
| "loss": 4.4127, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 0.05221238938053097, | |
| "grad_norm": 10.874494552612305, | |
| "learning_rate": 1.9457547169811322e-07, | |
| "loss": 3.7746, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 0.05309734513274336, | |
| "grad_norm": 9.654823303222656, | |
| "learning_rate": 1.9811320754716982e-07, | |
| "loss": 4.5378, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.05398230088495575, | |
| "grad_norm": 21.123645782470703, | |
| "learning_rate": 2.016509433962264e-07, | |
| "loss": 5.0209, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 0.05486725663716814, | |
| "grad_norm": 33.47934341430664, | |
| "learning_rate": 2.0518867924528303e-07, | |
| "loss": 6.5936, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 0.05575221238938053, | |
| "grad_norm": 10.2566556930542, | |
| "learning_rate": 2.0872641509433963e-07, | |
| "loss": 4.2315, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 0.05663716814159292, | |
| "grad_norm": 28.198625564575195, | |
| "learning_rate": 2.1226415094339622e-07, | |
| "loss": 6.4269, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 0.05752212389380531, | |
| "grad_norm": 9.386558532714844, | |
| "learning_rate": 2.1580188679245282e-07, | |
| "loss": 4.2644, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 0.0584070796460177, | |
| "grad_norm": 12.687555313110352, | |
| "learning_rate": 2.1933962264150944e-07, | |
| "loss": 5.1388, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 0.05929203539823009, | |
| "grad_norm": 14.834878921508789, | |
| "learning_rate": 2.2287735849056603e-07, | |
| "loss": 5.1852, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 0.06017699115044248, | |
| "grad_norm": 10.888677597045898, | |
| "learning_rate": 2.2641509433962263e-07, | |
| "loss": 4.8057, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 0.061061946902654866, | |
| "grad_norm": 13.97256851196289, | |
| "learning_rate": 2.2995283018867925e-07, | |
| "loss": 3.1725, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 0.061946902654867256, | |
| "grad_norm": 11.82534122467041, | |
| "learning_rate": 2.3349056603773584e-07, | |
| "loss": 3.3322, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.06283185840707965, | |
| "grad_norm": 16.99266242980957, | |
| "learning_rate": 2.3702830188679244e-07, | |
| "loss": 5.139, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 0.06371681415929203, | |
| "grad_norm": 8.74513053894043, | |
| "learning_rate": 2.4056603773584903e-07, | |
| "loss": 4.307, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 0.06460176991150443, | |
| "grad_norm": 11.715869903564453, | |
| "learning_rate": 2.4410377358490563e-07, | |
| "loss": 5.0133, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 0.06548672566371681, | |
| "grad_norm": 9.844196319580078, | |
| "learning_rate": 2.476415094339623e-07, | |
| "loss": 4.0507, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 0.06637168141592921, | |
| "grad_norm": 12.447444915771484, | |
| "learning_rate": 2.5117924528301887e-07, | |
| "loss": 3.3895, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 0.06725663716814159, | |
| "grad_norm": 23.91596794128418, | |
| "learning_rate": 2.5471698113207547e-07, | |
| "loss": 5.6736, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 0.06814159292035399, | |
| "grad_norm": 9.635603904724121, | |
| "learning_rate": 2.5825471698113206e-07, | |
| "loss": 4.2572, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 0.06902654867256637, | |
| "grad_norm": 14.971665382385254, | |
| "learning_rate": 2.6179245283018866e-07, | |
| "loss": 3.0796, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 0.06991150442477877, | |
| "grad_norm": 11.226128578186035, | |
| "learning_rate": 2.6533018867924525e-07, | |
| "loss": 5.0199, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 0.07079646017699115, | |
| "grad_norm": 11.01388931274414, | |
| "learning_rate": 2.688679245283019e-07, | |
| "loss": 4.1414, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.07079646017699115, | |
| "eval_Qnli-dev_cosine_accuracy": 0.591796875, | |
| "eval_Qnli-dev_cosine_accuracy_threshold": 0.9258557558059692, | |
| "eval_Qnli-dev_cosine_ap": 0.5585355274462735, | |
| "eval_Qnli-dev_cosine_f1": 0.6291834002677376, | |
| "eval_Qnli-dev_cosine_f1_threshold": 0.750666618347168, | |
| "eval_Qnli-dev_cosine_precision": 0.4598825831702544, | |
| "eval_Qnli-dev_cosine_recall": 0.9957627118644068, | |
| "eval_Qnli-dev_dot_accuracy": 0.591796875, | |
| "eval_Qnli-dev_dot_accuracy_threshold": 711.18359375, | |
| "eval_Qnli-dev_dot_ap": 0.5585297234749824, | |
| "eval_Qnli-dev_dot_f1": 0.6291834002677376, | |
| "eval_Qnli-dev_dot_f1_threshold": 576.5970458984375, | |
| "eval_Qnli-dev_dot_precision": 0.4598825831702544, | |
| "eval_Qnli-dev_dot_recall": 0.9957627118644068, | |
| "eval_Qnli-dev_euclidean_accuracy": 0.591796875, | |
| "eval_Qnli-dev_euclidean_accuracy_threshold": 10.672666549682617, | |
| "eval_Qnli-dev_euclidean_ap": 0.5585355274462735, | |
| "eval_Qnli-dev_euclidean_f1": 0.6291834002677376, | |
| "eval_Qnli-dev_euclidean_f1_threshold": 19.553747177124023, | |
| "eval_Qnli-dev_euclidean_precision": 0.4598825831702544, | |
| "eval_Qnli-dev_euclidean_recall": 0.9957627118644068, | |
| "eval_Qnli-dev_manhattan_accuracy": 0.619140625, | |
| "eval_Qnli-dev_manhattan_accuracy_threshold": 188.09068298339844, | |
| "eval_Qnli-dev_manhattan_ap": 0.5898283705050701, | |
| "eval_Qnli-dev_manhattan_f1": 0.6301775147928994, | |
| "eval_Qnli-dev_manhattan_f1_threshold": 237.80462646484375, | |
| "eval_Qnli-dev_manhattan_precision": 0.48409090909090907, | |
| "eval_Qnli-dev_manhattan_recall": 0.902542372881356, | |
| "eval_Qnli-dev_max_accuracy": 0.619140625, | |
| "eval_Qnli-dev_max_accuracy_threshold": 711.18359375, | |
| "eval_Qnli-dev_max_ap": 0.5898283705050701, | |
| "eval_Qnli-dev_max_f1": 0.6301775147928994, | |
| "eval_Qnli-dev_max_f1_threshold": 576.5970458984375, | |
| "eval_Qnli-dev_max_precision": 0.48409090909090907, | |
| "eval_Qnli-dev_max_recall": 0.9957627118644068, | |
| "eval_allNLI-dev_cosine_accuracy": 0.666015625, | |
| "eval_allNLI-dev_cosine_accuracy_threshold": 0.983686089515686, | |
| "eval_allNLI-dev_cosine_ap": 0.34411819659341086, | |
| "eval_allNLI-dev_cosine_f1": 0.5065885797950219, | |
| "eval_allNLI-dev_cosine_f1_threshold": 0.7642872333526611, | |
| "eval_allNLI-dev_cosine_precision": 0.3392156862745098, | |
| "eval_allNLI-dev_cosine_recall": 1.0, | |
| "eval_allNLI-dev_dot_accuracy": 0.666015625, | |
| "eval_allNLI-dev_dot_accuracy_threshold": 755.60302734375, | |
| "eval_allNLI-dev_dot_ap": 0.344109544232086, | |
| "eval_allNLI-dev_dot_f1": 0.5065885797950219, | |
| "eval_allNLI-dev_dot_f1_threshold": 587.0625, | |
| "eval_allNLI-dev_dot_precision": 0.3392156862745098, | |
| "eval_allNLI-dev_dot_recall": 1.0, | |
| "eval_allNLI-dev_euclidean_accuracy": 0.666015625, | |
| "eval_allNLI-dev_euclidean_accuracy_threshold": 5.00581693649292, | |
| "eval_allNLI-dev_euclidean_ap": 0.3441246898925644, | |
| "eval_allNLI-dev_euclidean_f1": 0.5065885797950219, | |
| "eval_allNLI-dev_euclidean_f1_threshold": 19.022436141967773, | |
| "eval_allNLI-dev_euclidean_precision": 0.3392156862745098, | |
| "eval_allNLI-dev_euclidean_recall": 1.0, | |
| "eval_allNLI-dev_manhattan_accuracy": 0.6640625, | |
| "eval_allNLI-dev_manhattan_accuracy_threshold": 62.69102096557617, | |
| "eval_allNLI-dev_manhattan_ap": 0.35131239981425566, | |
| "eval_allNLI-dev_manhattan_f1": 0.5058479532163743, | |
| "eval_allNLI-dev_manhattan_f1_threshold": 337.6861877441406, | |
| "eval_allNLI-dev_manhattan_precision": 0.3385518590998043, | |
| "eval_allNLI-dev_manhattan_recall": 1.0, | |
| "eval_allNLI-dev_max_accuracy": 0.666015625, | |
| "eval_allNLI-dev_max_accuracy_threshold": 755.60302734375, | |
| "eval_allNLI-dev_max_ap": 0.35131239981425566, | |
| "eval_allNLI-dev_max_f1": 0.5065885797950219, | |
| "eval_allNLI-dev_max_f1_threshold": 587.0625, | |
| "eval_allNLI-dev_max_precision": 0.3392156862745098, | |
| "eval_allNLI-dev_max_recall": 1.0, | |
| "eval_sequential_score": 0.5898283705050701, | |
| "eval_sts-test_pearson_cosine": 0.22248205020578934, | |
| "eval_sts-test_pearson_dot": 0.22239084967931927, | |
| "eval_sts-test_pearson_euclidean": 0.2323160413842197, | |
| "eval_sts-test_pearson_manhattan": 0.26632593273308647, | |
| "eval_sts-test_pearson_max": 0.26632593273308647, | |
| "eval_sts-test_spearman_cosine": 0.24802235964390085, | |
| "eval_sts-test_spearman_dot": 0.24791612015173234, | |
| "eval_sts-test_spearman_euclidean": 0.24799036249272113, | |
| "eval_sts-test_spearman_manhattan": 0.2843623073856928, | |
| "eval_sts-test_spearman_max": 0.2843623073856928, | |
| "eval_vitaminc-pairs_loss": 2.7793872356414795, | |
| "eval_vitaminc-pairs_runtime": 3.7649, | |
| "eval_vitaminc-pairs_samples_per_second": 33.998, | |
| "eval_vitaminc-pairs_steps_per_second": 0.266, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.07079646017699115, | |
| "eval_negation-triplets_loss": 4.888970851898193, | |
| "eval_negation-triplets_runtime": 0.7134, | |
| "eval_negation-triplets_samples_per_second": 179.432, | |
| "eval_negation-triplets_steps_per_second": 1.402, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.07079646017699115, | |
| "eval_scitail-pairs-pos_loss": 1.8996644020080566, | |
| "eval_scitail-pairs-pos_runtime": 0.8506, | |
| "eval_scitail-pairs-pos_samples_per_second": 150.477, | |
| "eval_scitail-pairs-pos_steps_per_second": 1.176, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.07079646017699115, | |
| "eval_scitail-pairs-qa_loss": 2.6760551929473877, | |
| "eval_scitail-pairs-qa_runtime": 0.5685, | |
| "eval_scitail-pairs-qa_samples_per_second": 225.171, | |
| "eval_scitail-pairs-qa_steps_per_second": 1.759, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.07079646017699115, | |
| "eval_xsum-pairs_loss": 6.209648609161377, | |
| "eval_xsum-pairs_runtime": 2.9221, | |
| "eval_xsum-pairs_samples_per_second": 43.804, | |
| "eval_xsum-pairs_steps_per_second": 0.342, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.07079646017699115, | |
| "eval_sciq_pairs_loss": 0.7622462511062622, | |
| "eval_sciq_pairs_runtime": 3.7816, | |
| "eval_sciq_pairs_samples_per_second": 33.848, | |
| "eval_sciq_pairs_steps_per_second": 0.264, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.07079646017699115, | |
| "eval_qasc_pairs_loss": 3.3129472732543945, | |
| "eval_qasc_pairs_runtime": 0.6761, | |
| "eval_qasc_pairs_samples_per_second": 189.334, | |
| "eval_qasc_pairs_steps_per_second": 1.479, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.07079646017699115, | |
| "eval_openbookqa_pairs_loss": 4.549765586853027, | |
| "eval_openbookqa_pairs_runtime": 0.5767, | |
| "eval_openbookqa_pairs_samples_per_second": 221.954, | |
| "eval_openbookqa_pairs_steps_per_second": 1.734, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.07079646017699115, | |
| "eval_msmarco_pairs_loss": 7.205582141876221, | |
| "eval_msmarco_pairs_runtime": 1.2621, | |
| "eval_msmarco_pairs_samples_per_second": 101.416, | |
| "eval_msmarco_pairs_steps_per_second": 0.792, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.07079646017699115, | |
| "eval_nq_pairs_loss": 7.680945873260498, | |
| "eval_nq_pairs_runtime": 2.5052, | |
| "eval_nq_pairs_samples_per_second": 51.095, | |
| "eval_nq_pairs_steps_per_second": 0.399, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.07079646017699115, | |
| "eval_trivia_pairs_loss": 6.37924861907959, | |
| "eval_trivia_pairs_runtime": 3.6293, | |
| "eval_trivia_pairs_samples_per_second": 35.268, | |
| "eval_trivia_pairs_steps_per_second": 0.276, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.07079646017699115, | |
| "eval_gooaq_pairs_loss": 6.656675338745117, | |
| "eval_gooaq_pairs_runtime": 0.9698, | |
| "eval_gooaq_pairs_samples_per_second": 131.988, | |
| "eval_gooaq_pairs_steps_per_second": 1.031, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.07079646017699115, | |
| "eval_paws-pos_loss": 1.3848179578781128, | |
| "eval_paws-pos_runtime": 0.6727, | |
| "eval_paws-pos_samples_per_second": 190.278, | |
| "eval_paws-pos_steps_per_second": 1.487, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.07079646017699115, | |
| "eval_global_dataset_loss": 5.002967834472656, | |
| "eval_global_dataset_runtime": 23.048, | |
| "eval_global_dataset_samples_per_second": 28.766, | |
| "eval_global_dataset_steps_per_second": 0.26, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.07168141592920355, | |
| "grad_norm": 18.9890193939209, | |
| "learning_rate": 2.724056603773585e-07, | |
| "loss": 5.8604, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 0.07256637168141593, | |
| "grad_norm": 8.206193923950195, | |
| "learning_rate": 2.759433962264151e-07, | |
| "loss": 4.3003, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 0.07345132743362832, | |
| "grad_norm": 10.03178882598877, | |
| "learning_rate": 2.794811320754717e-07, | |
| "loss": 4.4568, | |
| "step": 83 | |
| }, | |
| { | |
| "epoch": 0.0743362831858407, | |
| "grad_norm": 14.74673080444336, | |
| "learning_rate": 2.8301886792452833e-07, | |
| "loss": 4.2747, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 0.0752212389380531, | |
| "grad_norm": 19.097232818603516, | |
| "learning_rate": 2.865566037735849e-07, | |
| "loss": 5.52, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 0.07610619469026549, | |
| "grad_norm": 14.828218460083008, | |
| "learning_rate": 2.900943396226415e-07, | |
| "loss": 2.7767, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 0.07699115044247788, | |
| "grad_norm": 9.30789566040039, | |
| "learning_rate": 2.936320754716981e-07, | |
| "loss": 4.397, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 0.07787610619469026, | |
| "grad_norm": 15.119461059570312, | |
| "learning_rate": 2.9716981132075476e-07, | |
| "loss": 5.4449, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 0.07876106194690266, | |
| "grad_norm": 8.459301948547363, | |
| "learning_rate": 3.0070754716981136e-07, | |
| "loss": 4.2706, | |
| "step": 89 | |
| }, | |
| { | |
| "epoch": 0.07964601769911504, | |
| "grad_norm": 23.59125518798828, | |
| "learning_rate": 3.0424528301886795e-07, | |
| "loss": 6.4759, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.08053097345132744, | |
| "grad_norm": 8.729449272155762, | |
| "learning_rate": 3.0778301886792455e-07, | |
| "loss": 4.1951, | |
| "step": 91 | |
| }, | |
| { | |
| "epoch": 0.08141592920353982, | |
| "grad_norm": 8.37271785736084, | |
| "learning_rate": 3.1132075471698114e-07, | |
| "loss": 4.6328, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 0.08230088495575222, | |
| "grad_norm": 10.029474258422852, | |
| "learning_rate": 3.1485849056603774e-07, | |
| "loss": 4.1278, | |
| "step": 93 | |
| }, | |
| { | |
| "epoch": 0.0831858407079646, | |
| "grad_norm": 8.706567764282227, | |
| "learning_rate": 3.183962264150944e-07, | |
| "loss": 4.1787, | |
| "step": 94 | |
| }, | |
| { | |
| "epoch": 0.084070796460177, | |
| "grad_norm": 13.88837718963623, | |
| "learning_rate": 3.21933962264151e-07, | |
| "loss": 5.2156, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 0.08495575221238938, | |
| "grad_norm": 12.01068115234375, | |
| "learning_rate": 3.254716981132076e-07, | |
| "loss": 3.1403, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 0.08584070796460178, | |
| "grad_norm": 8.432968139648438, | |
| "learning_rate": 3.2900943396226417e-07, | |
| "loss": 4.0273, | |
| "step": 97 | |
| }, | |
| { | |
| "epoch": 0.08672566371681416, | |
| "grad_norm": 12.645098686218262, | |
| "learning_rate": 3.3254716981132077e-07, | |
| "loss": 3.0624, | |
| "step": 98 | |
| }, | |
| { | |
| "epoch": 0.08761061946902655, | |
| "grad_norm": 11.483688354492188, | |
| "learning_rate": 3.3608490566037736e-07, | |
| "loss": 4.6786, | |
| "step": 99 | |
| }, | |
| { | |
| "epoch": 0.08849557522123894, | |
| "grad_norm": 8.645537376403809, | |
| "learning_rate": 3.3962264150943395e-07, | |
| "loss": 4.1505, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.08938053097345133, | |
| "grad_norm": 13.053335189819336, | |
| "learning_rate": 3.431603773584906e-07, | |
| "loss": 2.9529, | |
| "step": 101 | |
| }, | |
| { | |
| "epoch": 0.09026548672566372, | |
| "grad_norm": 14.494400978088379, | |
| "learning_rate": 3.466981132075472e-07, | |
| "loss": 4.7048, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 0.09115044247787611, | |
| "grad_norm": 9.513616561889648, | |
| "learning_rate": 3.502358490566038e-07, | |
| "loss": 4.7388, | |
| "step": 103 | |
| }, | |
| { | |
| "epoch": 0.0920353982300885, | |
| "grad_norm": 9.751347541809082, | |
| "learning_rate": 3.537735849056604e-07, | |
| "loss": 3.7879, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 0.09292035398230089, | |
| "grad_norm": 9.06558895111084, | |
| "learning_rate": 3.57311320754717e-07, | |
| "loss": 4.0311, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 0.09380530973451327, | |
| "grad_norm": 9.53257942199707, | |
| "learning_rate": 3.608490566037736e-07, | |
| "loss": 4.1314, | |
| "step": 106 | |
| }, | |
| { | |
| "epoch": 0.09469026548672567, | |
| "grad_norm": 11.554676055908203, | |
| "learning_rate": 3.643867924528302e-07, | |
| "loss": 4.9411, | |
| "step": 107 | |
| }, | |
| { | |
| "epoch": 0.09557522123893805, | |
| "grad_norm": 8.559597969055176, | |
| "learning_rate": 3.679245283018868e-07, | |
| "loss": 4.1118, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 0.09646017699115045, | |
| "grad_norm": 10.008039474487305, | |
| "learning_rate": 3.714622641509434e-07, | |
| "loss": 3.6971, | |
| "step": 109 | |
| }, | |
| { | |
| "epoch": 0.09734513274336283, | |
| "grad_norm": 16.543254852294922, | |
| "learning_rate": 3.75e-07, | |
| "loss": 5.605, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.09823008849557523, | |
| "grad_norm": 11.816540718078613, | |
| "learning_rate": 3.7853773584905666e-07, | |
| "loss": 3.4563, | |
| "step": 111 | |
| }, | |
| { | |
| "epoch": 0.09911504424778761, | |
| "grad_norm": 10.638028144836426, | |
| "learning_rate": 3.820754716981132e-07, | |
| "loss": 3.7422, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 8.5276460647583, | |
| "learning_rate": 3.8561320754716985e-07, | |
| "loss": 3.8055, | |
| "step": 113 | |
| }, | |
| { | |
| "epoch": 0.10088495575221239, | |
| "grad_norm": 13.437420845031738, | |
| "learning_rate": 3.8915094339622644e-07, | |
| "loss": 5.2369, | |
| "step": 114 | |
| }, | |
| { | |
| "epoch": 0.10176991150442478, | |
| "grad_norm": 21.039424896240234, | |
| "learning_rate": 3.926886792452831e-07, | |
| "loss": 5.6518, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 0.10265486725663717, | |
| "grad_norm": 13.487382888793945, | |
| "learning_rate": 3.9622641509433963e-07, | |
| "loss": 3.2906, | |
| "step": 116 | |
| }, | |
| { | |
| "epoch": 0.10353982300884956, | |
| "grad_norm": 11.895822525024414, | |
| "learning_rate": 3.997641509433963e-07, | |
| "loss": 3.4996, | |
| "step": 117 | |
| }, | |
| { | |
| "epoch": 0.10442477876106195, | |
| "grad_norm": 10.83902359008789, | |
| "learning_rate": 4.033018867924528e-07, | |
| "loss": 3.6283, | |
| "step": 118 | |
| }, | |
| { | |
| "epoch": 0.10530973451327434, | |
| "grad_norm": 10.552660942077637, | |
| "learning_rate": 4.0683962264150947e-07, | |
| "loss": 4.1487, | |
| "step": 119 | |
| }, | |
| { | |
| "epoch": 0.10619469026548672, | |
| "grad_norm": 9.924088478088379, | |
| "learning_rate": 4.1037735849056606e-07, | |
| "loss": 4.3996, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.10619469026548672, | |
| "eval_Qnli-dev_cosine_accuracy": 0.595703125, | |
| "eval_Qnli-dev_cosine_accuracy_threshold": 0.9275249242782593, | |
| "eval_Qnli-dev_cosine_ap": 0.5645920090286662, | |
| "eval_Qnli-dev_cosine_f1": 0.6327077747989276, | |
| "eval_Qnli-dev_cosine_f1_threshold": 0.7267085313796997, | |
| "eval_Qnli-dev_cosine_precision": 0.4627450980392157, | |
| "eval_Qnli-dev_cosine_recall": 1.0, | |
| "eval_Qnli-dev_dot_accuracy": 0.595703125, | |
| "eval_Qnli-dev_dot_accuracy_threshold": 712.4608154296875, | |
| "eval_Qnli-dev_dot_ap": 0.5646837736357366, | |
| "eval_Qnli-dev_dot_f1": 0.6327077747989276, | |
| "eval_Qnli-dev_dot_f1_threshold": 558.2177734375, | |
| "eval_Qnli-dev_dot_precision": 0.4627450980392157, | |
| "eval_Qnli-dev_dot_recall": 1.0, | |
| "eval_Qnli-dev_euclidean_accuracy": 0.595703125, | |
| "eval_Qnli-dev_euclidean_accuracy_threshold": 10.551876068115234, | |
| "eval_Qnli-dev_euclidean_ap": 0.5645997569733668, | |
| "eval_Qnli-dev_euclidean_f1": 0.6327077747989276, | |
| "eval_Qnli-dev_euclidean_f1_threshold": 20.490163803100586, | |
| "eval_Qnli-dev_euclidean_precision": 0.4627450980392157, | |
| "eval_Qnli-dev_euclidean_recall": 1.0, | |
| "eval_Qnli-dev_manhattan_accuracy": 0.626953125, | |
| "eval_Qnli-dev_manhattan_accuracy_threshold": 195.12744140625, | |
| "eval_Qnli-dev_manhattan_ap": 0.5975206086733145, | |
| "eval_Qnli-dev_manhattan_f1": 0.6322008862629247, | |
| "eval_Qnli-dev_manhattan_f1_threshold": 256.6172180175781, | |
| "eval_Qnli-dev_manhattan_precision": 0.4852607709750567, | |
| "eval_Qnli-dev_manhattan_recall": 0.9067796610169492, | |
| "eval_Qnli-dev_max_accuracy": 0.626953125, | |
| "eval_Qnli-dev_max_accuracy_threshold": 712.4608154296875, | |
| "eval_Qnli-dev_max_ap": 0.5975206086733145, | |
| "eval_Qnli-dev_max_f1": 0.6327077747989276, | |
| "eval_Qnli-dev_max_f1_threshold": 558.2177734375, | |
| "eval_Qnli-dev_max_precision": 0.4852607709750567, | |
| "eval_Qnli-dev_max_recall": 1.0, | |
| "eval_allNLI-dev_cosine_accuracy": 0.666015625, | |
| "eval_allNLI-dev_cosine_accuracy_threshold": 0.983871340751648, | |
| "eval_allNLI-dev_cosine_ap": 0.36035507065342104, | |
| "eval_allNLI-dev_cosine_f1": 0.5051395007342143, | |
| "eval_allNLI-dev_cosine_f1_threshold": 0.7787582874298096, | |
| "eval_allNLI-dev_cosine_precision": 0.33858267716535434, | |
| "eval_allNLI-dev_cosine_recall": 0.9942196531791907, | |
| "eval_allNLI-dev_dot_accuracy": 0.666015625, | |
| "eval_allNLI-dev_dot_accuracy_threshold": 755.7670288085938, | |
| "eval_allNLI-dev_dot_ap": 0.36031241443166284, | |
| "eval_allNLI-dev_dot_f1": 0.5051395007342143, | |
| "eval_allNLI-dev_dot_f1_threshold": 598.2041625976562, | |
| "eval_allNLI-dev_dot_precision": 0.33858267716535434, | |
| "eval_allNLI-dev_dot_recall": 0.9942196531791907, | |
| "eval_allNLI-dev_euclidean_accuracy": 0.666015625, | |
| "eval_allNLI-dev_euclidean_accuracy_threshold": 4.964720249176025, | |
| "eval_allNLI-dev_euclidean_ap": 0.36035507065342104, | |
| "eval_allNLI-dev_euclidean_f1": 0.5051395007342143, | |
| "eval_allNLI-dev_euclidean_f1_threshold": 18.434789657592773, | |
| "eval_allNLI-dev_euclidean_precision": 0.33858267716535434, | |
| "eval_allNLI-dev_euclidean_recall": 0.9942196531791907, | |
| "eval_allNLI-dev_manhattan_accuracy": 0.6640625, | |
| "eval_allNLI-dev_manhattan_accuracy_threshold": 66.59053039550781, | |
| "eval_allNLI-dev_manhattan_ap": 0.3692975841596879, | |
| "eval_allNLI-dev_manhattan_f1": 0.5029239766081871, | |
| "eval_allNLI-dev_manhattan_f1_threshold": 380.123779296875, | |
| "eval_allNLI-dev_manhattan_precision": 0.33659491193737767, | |
| "eval_allNLI-dev_manhattan_recall": 0.9942196531791907, | |
| "eval_allNLI-dev_max_accuracy": 0.666015625, | |
| "eval_allNLI-dev_max_accuracy_threshold": 755.7670288085938, | |
| "eval_allNLI-dev_max_ap": 0.3692975841596879, | |
| "eval_allNLI-dev_max_f1": 0.5051395007342143, | |
| "eval_allNLI-dev_max_f1_threshold": 598.2041625976562, | |
| "eval_allNLI-dev_max_precision": 0.33858267716535434, | |
| "eval_allNLI-dev_max_recall": 0.9942196531791907, | |
| "eval_sequential_score": 0.5975206086733145, | |
| "eval_sts-test_pearson_cosine": 0.2980667522290251, | |
| "eval_sts-test_pearson_dot": 0.29795063801865274, | |
| "eval_sts-test_pearson_euclidean": 0.30279956330153407, | |
| "eval_sts-test_pearson_manhattan": 0.32939035635624725, | |
| "eval_sts-test_pearson_max": 0.32939035635624725, | |
| "eval_sts-test_spearman_cosine": 0.3148821747085771, | |
| "eval_sts-test_spearman_dot": 0.3149517475826025, | |
| "eval_sts-test_spearman_euclidean": 0.31489636085812106, | |
| "eval_sts-test_spearman_manhattan": 0.34558301612848313, | |
| "eval_sts-test_spearman_max": 0.34558301612848313, | |
| "eval_vitaminc-pairs_loss": 2.727938652038574, | |
| "eval_vitaminc-pairs_runtime": 3.7459, | |
| "eval_vitaminc-pairs_samples_per_second": 34.17, | |
| "eval_vitaminc-pairs_steps_per_second": 0.267, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.10619469026548672, | |
| "eval_negation-triplets_loss": 4.394620418548584, | |
| "eval_negation-triplets_runtime": 0.7078, | |
| "eval_negation-triplets_samples_per_second": 180.852, | |
| "eval_negation-triplets_steps_per_second": 1.413, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.10619469026548672, | |
| "eval_scitail-pairs-pos_loss": 1.4130322933197021, | |
| "eval_scitail-pairs-pos_runtime": 0.8587, | |
| "eval_scitail-pairs-pos_samples_per_second": 149.07, | |
| "eval_scitail-pairs-pos_steps_per_second": 1.165, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.10619469026548672, | |
| "eval_scitail-pairs-qa_loss": 2.1150403022766113, | |
| "eval_scitail-pairs-qa_runtime": 0.549, | |
| "eval_scitail-pairs-qa_samples_per_second": 233.163, | |
| "eval_scitail-pairs-qa_steps_per_second": 1.822, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.10619469026548672, | |
| "eval_xsum-pairs_loss": 6.048598289489746, | |
| "eval_xsum-pairs_runtime": 2.9142, | |
| "eval_xsum-pairs_samples_per_second": 43.923, | |
| "eval_xsum-pairs_steps_per_second": 0.343, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.10619469026548672, | |
| "eval_sciq_pairs_loss": 0.7171850800514221, | |
| "eval_sciq_pairs_runtime": 3.7786, | |
| "eval_sciq_pairs_samples_per_second": 33.875, | |
| "eval_sciq_pairs_steps_per_second": 0.265, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.10619469026548672, | |
| "eval_qasc_pairs_loss": 2.96693754196167, | |
| "eval_qasc_pairs_runtime": 0.6718, | |
| "eval_qasc_pairs_samples_per_second": 190.538, | |
| "eval_qasc_pairs_steps_per_second": 1.489, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.10619469026548672, | |
| "eval_openbookqa_pairs_loss": 4.418018341064453, | |
| "eval_openbookqa_pairs_runtime": 0.577, | |
| "eval_openbookqa_pairs_samples_per_second": 221.852, | |
| "eval_openbookqa_pairs_steps_per_second": 1.733, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.10619469026548672, | |
| "eval_msmarco_pairs_loss": 6.302182197570801, | |
| "eval_msmarco_pairs_runtime": 1.2547, | |
| "eval_msmarco_pairs_samples_per_second": 102.016, | |
| "eval_msmarco_pairs_steps_per_second": 0.797, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.10619469026548672, | |
| "eval_nq_pairs_loss": 6.841231822967529, | |
| "eval_nq_pairs_runtime": 2.5052, | |
| "eval_nq_pairs_samples_per_second": 51.094, | |
| "eval_nq_pairs_steps_per_second": 0.399, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.10619469026548672, | |
| "eval_trivia_pairs_loss": 6.201311111450195, | |
| "eval_trivia_pairs_runtime": 3.6311, | |
| "eval_trivia_pairs_samples_per_second": 35.251, | |
| "eval_trivia_pairs_steps_per_second": 0.275, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.10619469026548672, | |
| "eval_gooaq_pairs_loss": 6.098212718963623, | |
| "eval_gooaq_pairs_runtime": 0.9643, | |
| "eval_gooaq_pairs_samples_per_second": 132.741, | |
| "eval_gooaq_pairs_steps_per_second": 1.037, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.10619469026548672, | |
| "eval_paws-pos_loss": 0.9473956823348999, | |
| "eval_paws-pos_runtime": 0.6684, | |
| "eval_paws-pos_samples_per_second": 191.51, | |
| "eval_paws-pos_steps_per_second": 1.496, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.10619469026548672, | |
| "eval_global_dataset_loss": 4.385201454162598, | |
| "eval_global_dataset_runtime": 23.0455, | |
| "eval_global_dataset_samples_per_second": 28.769, | |
| "eval_global_dataset_steps_per_second": 0.26, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.10707964601769912, | |
| "grad_norm": 12.284002304077148, | |
| "learning_rate": 4.1391509433962266e-07, | |
| "loss": 3.5291, | |
| "step": 121 | |
| }, | |
| { | |
| "epoch": 0.1079646017699115, | |
| "grad_norm": 10.567977905273438, | |
| "learning_rate": 4.1745283018867925e-07, | |
| "loss": 3.8232, | |
| "step": 122 | |
| }, | |
| { | |
| "epoch": 0.1088495575221239, | |
| "grad_norm": 11.508279800415039, | |
| "learning_rate": 4.209905660377359e-07, | |
| "loss": 4.6035, | |
| "step": 123 | |
| }, | |
| { | |
| "epoch": 0.10973451327433628, | |
| "grad_norm": 10.180809020996094, | |
| "learning_rate": 4.2452830188679244e-07, | |
| "loss": 3.7607, | |
| "step": 124 | |
| }, | |
| { | |
| "epoch": 0.11061946902654868, | |
| "grad_norm": 9.519749641418457, | |
| "learning_rate": 4.280660377358491e-07, | |
| "loss": 3.8461, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 0.11150442477876106, | |
| "grad_norm": 11.971588134765625, | |
| "learning_rate": 4.3160377358490563e-07, | |
| "loss": 3.3413, | |
| "step": 126 | |
| }, | |
| { | |
| "epoch": 0.11238938053097346, | |
| "grad_norm": 9.211153984069824, | |
| "learning_rate": 4.351415094339623e-07, | |
| "loss": 4.2777, | |
| "step": 127 | |
| }, | |
| { | |
| "epoch": 0.11327433628318584, | |
| "grad_norm": 12.393014907836914, | |
| "learning_rate": 4.386792452830189e-07, | |
| "loss": 4.3597, | |
| "step": 128 | |
| }, | |
| { | |
| "epoch": 0.11415929203539824, | |
| "grad_norm": 14.332024574279785, | |
| "learning_rate": 4.422169811320755e-07, | |
| "loss": 3.9046, | |
| "step": 129 | |
| }, | |
| { | |
| "epoch": 0.11504424778761062, | |
| "grad_norm": 10.091246604919434, | |
| "learning_rate": 4.4575471698113207e-07, | |
| "loss": 4.0527, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.11592920353982301, | |
| "grad_norm": 15.043377876281738, | |
| "learning_rate": 4.492924528301887e-07, | |
| "loss": 5.0883, | |
| "step": 131 | |
| }, | |
| { | |
| "epoch": 0.1168141592920354, | |
| "grad_norm": 12.942100524902344, | |
| "learning_rate": 4.5283018867924526e-07, | |
| "loss": 3.8308, | |
| "step": 132 | |
| }, | |
| { | |
| "epoch": 0.11769911504424779, | |
| "grad_norm": 11.961737632751465, | |
| "learning_rate": 4.563679245283019e-07, | |
| "loss": 3.572, | |
| "step": 133 | |
| }, | |
| { | |
| "epoch": 0.11858407079646018, | |
| "grad_norm": 12.325026512145996, | |
| "learning_rate": 4.599056603773585e-07, | |
| "loss": 3.4299, | |
| "step": 134 | |
| }, | |
| { | |
| "epoch": 0.11946902654867257, | |
| "grad_norm": 12.118773460388184, | |
| "learning_rate": 4.6344339622641515e-07, | |
| "loss": 4.1541, | |
| "step": 135 | |
| }, | |
| { | |
| "epoch": 0.12035398230088495, | |
| "grad_norm": 11.99026107788086, | |
| "learning_rate": 4.669811320754717e-07, | |
| "loss": 3.584, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 0.12123893805309735, | |
| "grad_norm": 15.083515167236328, | |
| "learning_rate": 4.7051886792452834e-07, | |
| "loss": 5.0977, | |
| "step": 137 | |
| }, | |
| { | |
| "epoch": 0.12212389380530973, | |
| "grad_norm": 15.059394836425781, | |
| "learning_rate": 4.740566037735849e-07, | |
| "loss": 4.6769, | |
| "step": 138 | |
| }, | |
| { | |
| "epoch": 0.12300884955752213, | |
| "grad_norm": 8.864882469177246, | |
| "learning_rate": 4.775943396226415e-07, | |
| "loss": 3.8396, | |
| "step": 139 | |
| }, | |
| { | |
| "epoch": 0.12389380530973451, | |
| "grad_norm": 12.116555213928223, | |
| "learning_rate": 4.811320754716981e-07, | |
| "loss": 3.2875, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.12477876106194691, | |
| "grad_norm": 14.214646339416504, | |
| "learning_rate": 4.846698113207547e-07, | |
| "loss": 4.1946, | |
| "step": 141 | |
| }, | |
| { | |
| "epoch": 0.1256637168141593, | |
| "grad_norm": 16.207908630371094, | |
| "learning_rate": 4.882075471698113e-07, | |
| "loss": 4.9602, | |
| "step": 142 | |
| }, | |
| { | |
| "epoch": 0.12654867256637167, | |
| "grad_norm": 11.662668228149414, | |
| "learning_rate": 4.917452830188679e-07, | |
| "loss": 4.1531, | |
| "step": 143 | |
| }, | |
| { | |
| "epoch": 0.12743362831858407, | |
| "grad_norm": 12.429448127746582, | |
| "learning_rate": 4.952830188679246e-07, | |
| "loss": 3.8351, | |
| "step": 144 | |
| }, | |
| { | |
| "epoch": 0.12831858407079647, | |
| "grad_norm": 11.522616386413574, | |
| "learning_rate": 4.988207547169812e-07, | |
| "loss": 3.112, | |
| "step": 145 | |
| }, | |
| { | |
| "epoch": 0.12920353982300886, | |
| "grad_norm": 14.556803703308105, | |
| "learning_rate": 5.023584905660377e-07, | |
| "loss": 2.3145, | |
| "step": 146 | |
| }, | |
| { | |
| "epoch": 0.13008849557522123, | |
| "grad_norm": 12.348714828491211, | |
| "learning_rate": 5.058962264150944e-07, | |
| "loss": 4.0989, | |
| "step": 147 | |
| }, | |
| { | |
| "epoch": 0.13097345132743363, | |
| "grad_norm": 13.150403022766113, | |
| "learning_rate": 5.094339622641509e-07, | |
| "loss": 3.2173, | |
| "step": 148 | |
| }, | |
| { | |
| "epoch": 0.13185840707964602, | |
| "grad_norm": 12.066205978393555, | |
| "learning_rate": 5.129716981132076e-07, | |
| "loss": 2.7913, | |
| "step": 149 | |
| }, | |
| { | |
| "epoch": 0.13274336283185842, | |
| "grad_norm": 11.519116401672363, | |
| "learning_rate": 5.165094339622641e-07, | |
| "loss": 3.7627, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.1336283185840708, | |
| "grad_norm": 12.59196662902832, | |
| "learning_rate": 5.200471698113208e-07, | |
| "loss": 3.3669, | |
| "step": 151 | |
| }, | |
| { | |
| "epoch": 0.13451327433628318, | |
| "grad_norm": 13.791536331176758, | |
| "learning_rate": 5.235849056603773e-07, | |
| "loss": 2.6775, | |
| "step": 152 | |
| }, | |
| { | |
| "epoch": 0.13539823008849558, | |
| "grad_norm": 11.906597137451172, | |
| "learning_rate": 5.27122641509434e-07, | |
| "loss": 3.2804, | |
| "step": 153 | |
| }, | |
| { | |
| "epoch": 0.13628318584070798, | |
| "grad_norm": 11.267363548278809, | |
| "learning_rate": 5.306603773584905e-07, | |
| "loss": 3.0676, | |
| "step": 154 | |
| }, | |
| { | |
| "epoch": 0.13716814159292035, | |
| "grad_norm": 12.373686790466309, | |
| "learning_rate": 5.341981132075471e-07, | |
| "loss": 3.1559, | |
| "step": 155 | |
| }, | |
| { | |
| "epoch": 0.13805309734513274, | |
| "grad_norm": 13.258451461791992, | |
| "learning_rate": 5.377358490566038e-07, | |
| "loss": 2.6638, | |
| "step": 156 | |
| }, | |
| { | |
| "epoch": 0.13893805309734514, | |
| "grad_norm": 12.79727554321289, | |
| "learning_rate": 5.412735849056604e-07, | |
| "loss": 2.8045, | |
| "step": 157 | |
| }, | |
| { | |
| "epoch": 0.13982300884955753, | |
| "grad_norm": 13.88683032989502, | |
| "learning_rate": 5.44811320754717e-07, | |
| "loss": 4.0568, | |
| "step": 158 | |
| }, | |
| { | |
| "epoch": 0.1407079646017699, | |
| "grad_norm": 12.57358169555664, | |
| "learning_rate": 5.483490566037736e-07, | |
| "loss": 2.7554, | |
| "step": 159 | |
| }, | |
| { | |
| "epoch": 0.1415929203539823, | |
| "grad_norm": 14.520818710327148, | |
| "learning_rate": 5.518867924528302e-07, | |
| "loss": 3.7407, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.1415929203539823, | |
| "eval_Qnli-dev_cosine_accuracy": 0.62890625, | |
| "eval_Qnli-dev_cosine_accuracy_threshold": 0.9045097827911377, | |
| "eval_Qnli-dev_cosine_ap": 0.6193527955003784, | |
| "eval_Qnli-dev_cosine_f1": 0.6397415185783522, | |
| "eval_Qnli-dev_cosine_f1_threshold": 0.8351442813873291, | |
| "eval_Qnli-dev_cosine_precision": 0.5169712793733682, | |
| "eval_Qnli-dev_cosine_recall": 0.8389830508474576, | |
| "eval_Qnli-dev_dot_accuracy": 0.62890625, | |
| "eval_Qnli-dev_dot_accuracy_threshold": 694.7778930664062, | |
| "eval_Qnli-dev_dot_ap": 0.6194150916988216, | |
| "eval_Qnli-dev_dot_f1": 0.6397415185783522, | |
| "eval_Qnli-dev_dot_f1_threshold": 641.4969482421875, | |
| "eval_Qnli-dev_dot_precision": 0.5169712793733682, | |
| "eval_Qnli-dev_dot_recall": 0.8389830508474576, | |
| "eval_Qnli-dev_euclidean_accuracy": 0.62890625, | |
| "eval_Qnli-dev_euclidean_accuracy_threshold": 12.111844062805176, | |
| "eval_Qnli-dev_euclidean_ap": 0.6193576186776235, | |
| "eval_Qnli-dev_euclidean_f1": 0.6397415185783522, | |
| "eval_Qnli-dev_euclidean_f1_threshold": 15.914146423339844, | |
| "eval_Qnli-dev_euclidean_precision": 0.5169712793733682, | |
| "eval_Qnli-dev_euclidean_recall": 0.8389830508474576, | |
| "eval_Qnli-dev_manhattan_accuracy": 0.646484375, | |
| "eval_Qnli-dev_manhattan_accuracy_threshold": 245.2164306640625, | |
| "eval_Qnli-dev_manhattan_ap": 0.6417015148414534, | |
| "eval_Qnli-dev_manhattan_f1": 0.6521060842433698, | |
| "eval_Qnli-dev_manhattan_f1_threshold": 303.317626953125, | |
| "eval_Qnli-dev_manhattan_precision": 0.5160493827160494, | |
| "eval_Qnli-dev_manhattan_recall": 0.885593220338983, | |
| "eval_Qnli-dev_max_accuracy": 0.646484375, | |
| "eval_Qnli-dev_max_accuracy_threshold": 694.7778930664062, | |
| "eval_Qnli-dev_max_ap": 0.6417015148414534, | |
| "eval_Qnli-dev_max_f1": 0.6521060842433698, | |
| "eval_Qnli-dev_max_f1_threshold": 641.4969482421875, | |
| "eval_Qnli-dev_max_precision": 0.5169712793733682, | |
| "eval_Qnli-dev_max_recall": 0.885593220338983, | |
| "eval_allNLI-dev_cosine_accuracy": 0.66796875, | |
| "eval_allNLI-dev_cosine_accuracy_threshold": 0.9767438173294067, | |
| "eval_allNLI-dev_cosine_ap": 0.38624833037583434, | |
| "eval_allNLI-dev_cosine_f1": 0.5100182149362477, | |
| "eval_allNLI-dev_cosine_f1_threshold": 0.8540960550308228, | |
| "eval_allNLI-dev_cosine_precision": 0.3723404255319149, | |
| "eval_allNLI-dev_cosine_recall": 0.8092485549132948, | |
| "eval_allNLI-dev_dot_accuracy": 0.66796875, | |
| "eval_allNLI-dev_dot_accuracy_threshold": 750.345458984375, | |
| "eval_allNLI-dev_dot_ap": 0.3862261253421553, | |
| "eval_allNLI-dev_dot_f1": 0.5100182149362477, | |
| "eval_allNLI-dev_dot_f1_threshold": 656.0940551757812, | |
| "eval_allNLI-dev_dot_precision": 0.3723404255319149, | |
| "eval_allNLI-dev_dot_recall": 0.8092485549132948, | |
| "eval_allNLI-dev_euclidean_accuracy": 0.66796875, | |
| "eval_allNLI-dev_euclidean_accuracy_threshold": 5.977196216583252, | |
| "eval_allNLI-dev_euclidean_ap": 0.38624380046547035, | |
| "eval_allNLI-dev_euclidean_f1": 0.5100182149362477, | |
| "eval_allNLI-dev_euclidean_f1_threshold": 14.971920013427734, | |
| "eval_allNLI-dev_euclidean_precision": 0.3723404255319149, | |
| "eval_allNLI-dev_euclidean_recall": 0.8092485549132948, | |
| "eval_allNLI-dev_manhattan_accuracy": 0.6640625, | |
| "eval_allNLI-dev_manhattan_accuracy_threshold": 78.52637481689453, | |
| "eval_allNLI-dev_manhattan_ap": 0.3898187083180651, | |
| "eval_allNLI-dev_manhattan_f1": 0.5062388591800357, | |
| "eval_allNLI-dev_manhattan_f1_threshold": 285.7745361328125, | |
| "eval_allNLI-dev_manhattan_precision": 0.36597938144329895, | |
| "eval_allNLI-dev_manhattan_recall": 0.8208092485549133, | |
| "eval_allNLI-dev_max_accuracy": 0.66796875, | |
| "eval_allNLI-dev_max_accuracy_threshold": 750.345458984375, | |
| "eval_allNLI-dev_max_ap": 0.3898187083180651, | |
| "eval_allNLI-dev_max_f1": 0.5100182149362477, | |
| "eval_allNLI-dev_max_f1_threshold": 656.0940551757812, | |
| "eval_allNLI-dev_max_precision": 0.3723404255319149, | |
| "eval_allNLI-dev_max_recall": 0.8208092485549133, | |
| "eval_sequential_score": 0.6417015148414534, | |
| "eval_sts-test_pearson_cosine": 0.2853943019391156, | |
| "eval_sts-test_pearson_dot": 0.28526334639473966, | |
| "eval_sts-test_pearson_euclidean": 0.29405773952219494, | |
| "eval_sts-test_pearson_manhattan": 0.3110310476615048, | |
| "eval_sts-test_pearson_max": 0.3110310476615048, | |
| "eval_sts-test_spearman_cosine": 0.31414239162305135, | |
| "eval_sts-test_spearman_dot": 0.31380407209449446, | |
| "eval_sts-test_spearman_euclidean": 0.3141516551339523, | |
| "eval_sts-test_spearman_manhattan": 0.3366243060620438, | |
| "eval_sts-test_spearman_max": 0.3366243060620438, | |
| "eval_vitaminc-pairs_loss": 2.7439002990722656, | |
| "eval_vitaminc-pairs_runtime": 3.7639, | |
| "eval_vitaminc-pairs_samples_per_second": 34.007, | |
| "eval_vitaminc-pairs_steps_per_second": 0.266, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.1415929203539823, | |
| "eval_negation-triplets_loss": 4.63640022277832, | |
| "eval_negation-triplets_runtime": 0.7072, | |
| "eval_negation-triplets_samples_per_second": 180.999, | |
| "eval_negation-triplets_steps_per_second": 1.414, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.1415929203539823, | |
| "eval_scitail-pairs-pos_loss": 1.0088545083999634, | |
| "eval_scitail-pairs-pos_runtime": 0.8123, | |
| "eval_scitail-pairs-pos_samples_per_second": 157.577, | |
| "eval_scitail-pairs-pos_steps_per_second": 1.231, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.1415929203539823, | |
| "eval_scitail-pairs-qa_loss": 1.1228678226470947, | |
| "eval_scitail-pairs-qa_runtime": 0.5444, | |
| "eval_scitail-pairs-qa_samples_per_second": 235.115, | |
| "eval_scitail-pairs-qa_steps_per_second": 1.837, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.1415929203539823, | |
| "eval_xsum-pairs_loss": 5.4869818687438965, | |
| "eval_xsum-pairs_runtime": 2.8888, | |
| "eval_xsum-pairs_samples_per_second": 44.308, | |
| "eval_xsum-pairs_steps_per_second": 0.346, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.1415929203539823, | |
| "eval_sciq_pairs_loss": 0.628353476524353, | |
| "eval_sciq_pairs_runtime": 3.8061, | |
| "eval_sciq_pairs_samples_per_second": 33.631, | |
| "eval_sciq_pairs_steps_per_second": 0.263, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.1415929203539823, | |
| "eval_qasc_pairs_loss": 2.593322277069092, | |
| "eval_qasc_pairs_runtime": 0.6728, | |
| "eval_qasc_pairs_samples_per_second": 190.241, | |
| "eval_qasc_pairs_steps_per_second": 1.486, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.1415929203539823, | |
| "eval_openbookqa_pairs_loss": 4.394308090209961, | |
| "eval_openbookqa_pairs_runtime": 0.5852, | |
| "eval_openbookqa_pairs_samples_per_second": 218.729, | |
| "eval_openbookqa_pairs_steps_per_second": 1.709, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.1415929203539823, | |
| "eval_msmarco_pairs_loss": 5.656517505645752, | |
| "eval_msmarco_pairs_runtime": 1.2571, | |
| "eval_msmarco_pairs_samples_per_second": 101.822, | |
| "eval_msmarco_pairs_steps_per_second": 0.795, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.1415929203539823, | |
| "eval_nq_pairs_loss": 5.986983776092529, | |
| "eval_nq_pairs_runtime": 2.5075, | |
| "eval_nq_pairs_samples_per_second": 51.047, | |
| "eval_nq_pairs_steps_per_second": 0.399, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.1415929203539823, | |
| "eval_trivia_pairs_loss": 5.694415092468262, | |
| "eval_trivia_pairs_runtime": 3.6302, | |
| "eval_trivia_pairs_samples_per_second": 35.26, | |
| "eval_trivia_pairs_steps_per_second": 0.275, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.1415929203539823, | |
| "eval_gooaq_pairs_loss": 5.3856658935546875, | |
| "eval_gooaq_pairs_runtime": 0.9618, | |
| "eval_gooaq_pairs_samples_per_second": 133.082, | |
| "eval_gooaq_pairs_steps_per_second": 1.04, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.1415929203539823, | |
| "eval_paws-pos_loss": 0.3622308671474457, | |
| "eval_paws-pos_runtime": 0.6678, | |
| "eval_paws-pos_samples_per_second": 191.674, | |
| "eval_paws-pos_steps_per_second": 1.497, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.1415929203539823, | |
| "eval_global_dataset_loss": 3.401135206222534, | |
| "eval_global_dataset_runtime": 23.0422, | |
| "eval_global_dataset_samples_per_second": 28.773, | |
| "eval_global_dataset_steps_per_second": 0.26, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.1424778761061947, | |
| "grad_norm": 15.203566551208496, | |
| "learning_rate": 5.554245283018868e-07, | |
| "loss": 3.4324, | |
| "step": 161 | |
| }, | |
| { | |
| "epoch": 0.1433628318584071, | |
| "grad_norm": 17.9180850982666, | |
| "learning_rate": 5.589622641509434e-07, | |
| "loss": 3.6658, | |
| "step": 162 | |
| }, | |
| { | |
| "epoch": 0.14424778761061946, | |
| "grad_norm": 15.438867568969727, | |
| "learning_rate": 5.625e-07, | |
| "loss": 3.96, | |
| "step": 163 | |
| }, | |
| { | |
| "epoch": 0.14513274336283186, | |
| "grad_norm": 11.754356384277344, | |
| "learning_rate": 5.660377358490567e-07, | |
| "loss": 2.3167, | |
| "step": 164 | |
| }, | |
| { | |
| "epoch": 0.14601769911504425, | |
| "grad_norm": 14.934159278869629, | |
| "learning_rate": 5.695754716981132e-07, | |
| "loss": 3.6345, | |
| "step": 165 | |
| }, | |
| { | |
| "epoch": 0.14690265486725665, | |
| "grad_norm": 12.897971153259277, | |
| "learning_rate": 5.731132075471699e-07, | |
| "loss": 2.462, | |
| "step": 166 | |
| }, | |
| { | |
| "epoch": 0.14778761061946902, | |
| "grad_norm": 9.75023365020752, | |
| "learning_rate": 5.766509433962264e-07, | |
| "loss": 1.4742, | |
| "step": 167 | |
| }, | |
| { | |
| "epoch": 0.1486725663716814, | |
| "grad_norm": 19.08034324645996, | |
| "learning_rate": 5.80188679245283e-07, | |
| "loss": 4.7312, | |
| "step": 168 | |
| }, | |
| { | |
| "epoch": 0.1495575221238938, | |
| "grad_norm": 11.19345760345459, | |
| "learning_rate": 5.837264150943396e-07, | |
| "loss": 2.6785, | |
| "step": 169 | |
| }, | |
| { | |
| "epoch": 0.1504424778761062, | |
| "grad_norm": 15.673795700073242, | |
| "learning_rate": 5.872641509433962e-07, | |
| "loss": 3.449, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.15132743362831858, | |
| "grad_norm": 13.0908842086792, | |
| "learning_rate": 5.908018867924529e-07, | |
| "loss": 2.437, | |
| "step": 171 | |
| }, | |
| { | |
| "epoch": 0.15221238938053097, | |
| "grad_norm": 18.692623138427734, | |
| "learning_rate": 5.943396226415095e-07, | |
| "loss": 4.2431, | |
| "step": 172 | |
| }, | |
| { | |
| "epoch": 0.15309734513274337, | |
| "grad_norm": 18.569456100463867, | |
| "learning_rate": 5.978773584905661e-07, | |
| "loss": 4.4848, | |
| "step": 173 | |
| }, | |
| { | |
| "epoch": 0.15398230088495576, | |
| "grad_norm": 13.657751083374023, | |
| "learning_rate": 6.014150943396227e-07, | |
| "loss": 2.5575, | |
| "step": 174 | |
| }, | |
| { | |
| "epoch": 0.15486725663716813, | |
| "grad_norm": 13.810693740844727, | |
| "learning_rate": 6.049528301886793e-07, | |
| "loss": 2.3798, | |
| "step": 175 | |
| }, | |
| { | |
| "epoch": 0.15575221238938053, | |
| "grad_norm": 19.44959831237793, | |
| "learning_rate": 6.084905660377359e-07, | |
| "loss": 4.4939, | |
| "step": 176 | |
| }, | |
| { | |
| "epoch": 0.15663716814159293, | |
| "grad_norm": 18.276161193847656, | |
| "learning_rate": 6.120283018867924e-07, | |
| "loss": 4.1285, | |
| "step": 177 | |
| }, | |
| { | |
| "epoch": 0.15752212389380532, | |
| "grad_norm": 12.755691528320312, | |
| "learning_rate": 6.155660377358491e-07, | |
| "loss": 3.0096, | |
| "step": 178 | |
| }, | |
| { | |
| "epoch": 0.1584070796460177, | |
| "grad_norm": 17.114940643310547, | |
| "learning_rate": 6.191037735849056e-07, | |
| "loss": 4.4431, | |
| "step": 179 | |
| }, | |
| { | |
| "epoch": 0.1592920353982301, | |
| "grad_norm": 16.182861328125, | |
| "learning_rate": 6.226415094339623e-07, | |
| "loss": 3.1172, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.16017699115044248, | |
| "grad_norm": 11.372871398925781, | |
| "learning_rate": 6.261792452830188e-07, | |
| "loss": 2.3576, | |
| "step": 181 | |
| }, | |
| { | |
| "epoch": 0.16106194690265488, | |
| "grad_norm": 15.957989692687988, | |
| "learning_rate": 6.297169811320755e-07, | |
| "loss": 3.7849, | |
| "step": 182 | |
| }, | |
| { | |
| "epoch": 0.16194690265486725, | |
| "grad_norm": 16.545942306518555, | |
| "learning_rate": 6.332547169811321e-07, | |
| "loss": 3.679, | |
| "step": 183 | |
| }, | |
| { | |
| "epoch": 0.16283185840707964, | |
| "grad_norm": 12.20029354095459, | |
| "learning_rate": 6.367924528301888e-07, | |
| "loss": 3.1949, | |
| "step": 184 | |
| }, | |
| { | |
| "epoch": 0.16371681415929204, | |
| "grad_norm": 12.985442161560059, | |
| "learning_rate": 6.403301886792453e-07, | |
| "loss": 3.2422, | |
| "step": 185 | |
| }, | |
| { | |
| "epoch": 0.16460176991150444, | |
| "grad_norm": 16.652189254760742, | |
| "learning_rate": 6.43867924528302e-07, | |
| "loss": 2.9905, | |
| "step": 186 | |
| }, | |
| { | |
| "epoch": 0.1654867256637168, | |
| "grad_norm": 13.374595642089844, | |
| "learning_rate": 6.474056603773585e-07, | |
| "loss": 2.2697, | |
| "step": 187 | |
| }, | |
| { | |
| "epoch": 0.1663716814159292, | |
| "grad_norm": 13.449297904968262, | |
| "learning_rate": 6.509433962264152e-07, | |
| "loss": 1.7685, | |
| "step": 188 | |
| }, | |
| { | |
| "epoch": 0.1672566371681416, | |
| "grad_norm": 11.019112586975098, | |
| "learning_rate": 6.544811320754717e-07, | |
| "loss": 2.0971, | |
| "step": 189 | |
| }, | |
| { | |
| "epoch": 0.168141592920354, | |
| "grad_norm": 14.534268379211426, | |
| "learning_rate": 6.580188679245283e-07, | |
| "loss": 3.4689, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 0.16902654867256636, | |
| "grad_norm": 10.543577194213867, | |
| "learning_rate": 6.615566037735849e-07, | |
| "loss": 1.6614, | |
| "step": 191 | |
| }, | |
| { | |
| "epoch": 0.16991150442477876, | |
| "grad_norm": 11.60018539428711, | |
| "learning_rate": 6.650943396226415e-07, | |
| "loss": 1.9574, | |
| "step": 192 | |
| }, | |
| { | |
| "epoch": 0.17079646017699116, | |
| "grad_norm": 12.020721435546875, | |
| "learning_rate": 6.686320754716981e-07, | |
| "loss": 1.9313, | |
| "step": 193 | |
| }, | |
| { | |
| "epoch": 0.17168141592920355, | |
| "grad_norm": 13.000722885131836, | |
| "learning_rate": 6.721698113207547e-07, | |
| "loss": 2.2316, | |
| "step": 194 | |
| }, | |
| { | |
| "epoch": 0.17256637168141592, | |
| "grad_norm": 14.97183609008789, | |
| "learning_rate": 6.757075471698113e-07, | |
| "loss": 1.9854, | |
| "step": 195 | |
| }, | |
| { | |
| "epoch": 0.17345132743362832, | |
| "grad_norm": 13.239171028137207, | |
| "learning_rate": 6.792452830188679e-07, | |
| "loss": 2.8428, | |
| "step": 196 | |
| }, | |
| { | |
| "epoch": 0.1743362831858407, | |
| "grad_norm": 14.02790355682373, | |
| "learning_rate": 6.827830188679246e-07, | |
| "loss": 2.6916, | |
| "step": 197 | |
| }, | |
| { | |
| "epoch": 0.1752212389380531, | |
| "grad_norm": 19.518878936767578, | |
| "learning_rate": 6.863207547169812e-07, | |
| "loss": 3.5193, | |
| "step": 198 | |
| }, | |
| { | |
| "epoch": 0.17610619469026548, | |
| "grad_norm": 13.07220458984375, | |
| "learning_rate": 6.898584905660377e-07, | |
| "loss": 3.1681, | |
| "step": 199 | |
| }, | |
| { | |
| "epoch": 0.17699115044247787, | |
| "grad_norm": 17.351106643676758, | |
| "learning_rate": 6.933962264150944e-07, | |
| "loss": 2.7377, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.17699115044247787, | |
| "eval_Qnli-dev_cosine_accuracy": 0.654296875, | |
| "eval_Qnli-dev_cosine_accuracy_threshold": 0.8833130598068237, | |
| "eval_Qnli-dev_cosine_ap": 0.6580270250237132, | |
| "eval_Qnli-dev_cosine_f1": 0.6530014641288434, | |
| "eval_Qnli-dev_cosine_f1_threshold": 0.7697122097015381, | |
| "eval_Qnli-dev_cosine_precision": 0.4988814317673378, | |
| "eval_Qnli-dev_cosine_recall": 0.9449152542372882, | |
| "eval_Qnli-dev_dot_accuracy": 0.654296875, | |
| "eval_Qnli-dev_dot_accuracy_threshold": 678.5490112304688, | |
| "eval_Qnli-dev_dot_ap": 0.6575507232408317, | |
| "eval_Qnli-dev_dot_f1": 0.6530014641288434, | |
| "eval_Qnli-dev_dot_f1_threshold": 591.318115234375, | |
| "eval_Qnli-dev_dot_precision": 0.4988814317673378, | |
| "eval_Qnli-dev_dot_recall": 0.9449152542372882, | |
| "eval_Qnli-dev_euclidean_accuracy": 0.654296875, | |
| "eval_Qnli-dev_euclidean_accuracy_threshold": 13.389348983764648, | |
| "eval_Qnli-dev_euclidean_ap": 0.6580673873885579, | |
| "eval_Qnli-dev_euclidean_f1": 0.6530014641288434, | |
| "eval_Qnli-dev_euclidean_f1_threshold": 18.810344696044922, | |
| "eval_Qnli-dev_euclidean_precision": 0.4988814317673378, | |
| "eval_Qnli-dev_euclidean_recall": 0.9449152542372882, | |
| "eval_Qnli-dev_manhattan_accuracy": 0.654296875, | |
| "eval_Qnli-dev_manhattan_accuracy_threshold": 261.8469543457031, | |
| "eval_Qnli-dev_manhattan_ap": 0.6702231337150942, | |
| "eval_Qnli-dev_manhattan_f1": 0.6515397082658022, | |
| "eval_Qnli-dev_manhattan_f1_threshold": 327.61407470703125, | |
| "eval_Qnli-dev_manhattan_precision": 0.5275590551181102, | |
| "eval_Qnli-dev_manhattan_recall": 0.8516949152542372, | |
| "eval_Qnli-dev_max_accuracy": 0.654296875, | |
| "eval_Qnli-dev_max_accuracy_threshold": 678.5490112304688, | |
| "eval_Qnli-dev_max_ap": 0.6702231337150942, | |
| "eval_Qnli-dev_max_f1": 0.6530014641288434, | |
| "eval_Qnli-dev_max_f1_threshold": 591.318115234375, | |
| "eval_Qnli-dev_max_precision": 0.5275590551181102, | |
| "eval_Qnli-dev_max_recall": 0.9449152542372882, | |
| "eval_allNLI-dev_cosine_accuracy": 0.66796875, | |
| "eval_allNLI-dev_cosine_accuracy_threshold": 0.9789057970046997, | |
| "eval_allNLI-dev_cosine_ap": 0.4149758651874867, | |
| "eval_allNLI-dev_cosine_f1": 0.5295404814004376, | |
| "eval_allNLI-dev_cosine_f1_threshold": 0.8845139741897583, | |
| "eval_allNLI-dev_cosine_precision": 0.426056338028169, | |
| "eval_allNLI-dev_cosine_recall": 0.6994219653179191, | |
| "eval_allNLI-dev_dot_accuracy": 0.66796875, | |
| "eval_allNLI-dev_dot_accuracy_threshold": 752.1302490234375, | |
| "eval_allNLI-dev_dot_ap": 0.4148843825453817, | |
| "eval_allNLI-dev_dot_f1": 0.5295404814004376, | |
| "eval_allNLI-dev_dot_f1_threshold": 679.59765625, | |
| "eval_allNLI-dev_dot_precision": 0.426056338028169, | |
| "eval_allNLI-dev_dot_recall": 0.6994219653179191, | |
| "eval_allNLI-dev_euclidean_accuracy": 0.66796875, | |
| "eval_allNLI-dev_euclidean_accuracy_threshold": 5.692765712738037, | |
| "eval_allNLI-dev_euclidean_ap": 0.4149715623944703, | |
| "eval_allNLI-dev_euclidean_f1": 0.5295404814004376, | |
| "eval_allNLI-dev_euclidean_f1_threshold": 13.321504592895508, | |
| "eval_allNLI-dev_euclidean_precision": 0.426056338028169, | |
| "eval_allNLI-dev_euclidean_recall": 0.6994219653179191, | |
| "eval_allNLI-dev_manhattan_accuracy": 0.66796875, | |
| "eval_allNLI-dev_manhattan_accuracy_threshold": 108.60708618164062, | |
| "eval_allNLI-dev_manhattan_ap": 0.4226938762919136, | |
| "eval_allNLI-dev_manhattan_f1": 0.5261261261261262, | |
| "eval_allNLI-dev_manhattan_f1_threshold": 292.82879638671875, | |
| "eval_allNLI-dev_manhattan_precision": 0.38219895287958117, | |
| "eval_allNLI-dev_manhattan_recall": 0.8439306358381503, | |
| "eval_allNLI-dev_max_accuracy": 0.66796875, | |
| "eval_allNLI-dev_max_accuracy_threshold": 752.1302490234375, | |
| "eval_allNLI-dev_max_ap": 0.4226938762919136, | |
| "eval_allNLI-dev_max_f1": 0.5295404814004376, | |
| "eval_allNLI-dev_max_f1_threshold": 679.59765625, | |
| "eval_allNLI-dev_max_precision": 0.426056338028169, | |
| "eval_allNLI-dev_max_recall": 0.8439306358381503, | |
| "eval_sequential_score": 0.6702231337150942, | |
| "eval_sts-test_pearson_cosine": 0.2940990176248945, | |
| "eval_sts-test_pearson_dot": 0.2937915867258836, | |
| "eval_sts-test_pearson_euclidean": 0.3181750373778839, | |
| "eval_sts-test_pearson_manhattan": 0.3345827566037396, | |
| "eval_sts-test_pearson_max": 0.3345827566037396, | |
| "eval_sts-test_spearman_cosine": 0.3520659969675645, | |
| "eval_sts-test_spearman_dot": 0.3519276260704351, | |
| "eval_sts-test_spearman_euclidean": 0.35206747375915737, | |
| "eval_sts-test_spearman_manhattan": 0.3786100728147803, | |
| "eval_sts-test_spearman_max": 0.3786100728147803, | |
| "eval_vitaminc-pairs_loss": 2.7042157649993896, | |
| "eval_vitaminc-pairs_runtime": 3.7507, | |
| "eval_vitaminc-pairs_samples_per_second": 34.127, | |
| "eval_vitaminc-pairs_steps_per_second": 0.267, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.17699115044247787, | |
| "eval_negation-triplets_loss": 4.873472213745117, | |
| "eval_negation-triplets_runtime": 0.7086, | |
| "eval_negation-triplets_samples_per_second": 180.65, | |
| "eval_negation-triplets_steps_per_second": 1.411, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.17699115044247787, | |
| "eval_scitail-pairs-pos_loss": 0.6427631974220276, | |
| "eval_scitail-pairs-pos_runtime": 0.8081, | |
| "eval_scitail-pairs-pos_samples_per_second": 158.403, | |
| "eval_scitail-pairs-pos_steps_per_second": 1.238, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.17699115044247787, | |
| "eval_scitail-pairs-qa_loss": 0.6247898936271667, | |
| "eval_scitail-pairs-qa_runtime": 0.5409, | |
| "eval_scitail-pairs-qa_samples_per_second": 236.639, | |
| "eval_scitail-pairs-qa_steps_per_second": 1.849, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.17699115044247787, | |
| "eval_xsum-pairs_loss": 4.36387300491333, | |
| "eval_xsum-pairs_runtime": 2.8937, | |
| "eval_xsum-pairs_samples_per_second": 44.234, | |
| "eval_xsum-pairs_steps_per_second": 0.346, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.17699115044247787, | |
| "eval_sciq_pairs_loss": 0.47759732604026794, | |
| "eval_sciq_pairs_runtime": 3.7844, | |
| "eval_sciq_pairs_samples_per_second": 33.823, | |
| "eval_sciq_pairs_steps_per_second": 0.264, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.17699115044247787, | |
| "eval_qasc_pairs_loss": 1.8949910402297974, | |
| "eval_qasc_pairs_runtime": 0.6749, | |
| "eval_qasc_pairs_samples_per_second": 189.661, | |
| "eval_qasc_pairs_steps_per_second": 1.482, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.17699115044247787, | |
| "eval_openbookqa_pairs_loss": 3.398245334625244, | |
| "eval_openbookqa_pairs_runtime": 0.5848, | |
| "eval_openbookqa_pairs_samples_per_second": 218.88, | |
| "eval_openbookqa_pairs_steps_per_second": 1.71, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.17699115044247787, | |
| "eval_msmarco_pairs_loss": 4.104819297790527, | |
| "eval_msmarco_pairs_runtime": 1.2633, | |
| "eval_msmarco_pairs_samples_per_second": 101.324, | |
| "eval_msmarco_pairs_steps_per_second": 0.792, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.17699115044247787, | |
| "eval_nq_pairs_loss": 4.759064197540283, | |
| "eval_nq_pairs_runtime": 2.5126, | |
| "eval_nq_pairs_samples_per_second": 50.943, | |
| "eval_nq_pairs_steps_per_second": 0.398, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.17699115044247787, | |
| "eval_trivia_pairs_loss": 4.4567718505859375, | |
| "eval_trivia_pairs_runtime": 3.6274, | |
| "eval_trivia_pairs_samples_per_second": 35.287, | |
| "eval_trivia_pairs_steps_per_second": 0.276, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.17699115044247787, | |
| "eval_gooaq_pairs_loss": 4.16129207611084, | |
| "eval_gooaq_pairs_runtime": 0.9594, | |
| "eval_gooaq_pairs_samples_per_second": 133.413, | |
| "eval_gooaq_pairs_steps_per_second": 1.042, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.17699115044247787, | |
| "eval_paws-pos_loss": 0.18016286194324493, | |
| "eval_paws-pos_runtime": 0.6707, | |
| "eval_paws-pos_samples_per_second": 190.836, | |
| "eval_paws-pos_steps_per_second": 1.491, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.17699115044247787, | |
| "eval_global_dataset_loss": 2.4958598613739014, | |
| "eval_global_dataset_runtime": 23.0263, | |
| "eval_global_dataset_samples_per_second": 28.793, | |
| "eval_global_dataset_steps_per_second": 0.261, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.17787610619469027, | |
| "grad_norm": 11.437249183654785, | |
| "learning_rate": 6.969339622641509e-07, | |
| "loss": 1.6408, | |
| "step": 201 | |
| }, | |
| { | |
| "epoch": 0.17876106194690267, | |
| "grad_norm": 11.460991859436035, | |
| "learning_rate": 7.004716981132076e-07, | |
| "loss": 2.3864, | |
| "step": 202 | |
| }, | |
| { | |
| "epoch": 0.17964601769911503, | |
| "grad_norm": 11.440958976745605, | |
| "learning_rate": 7.040094339622641e-07, | |
| "loss": 2.0848, | |
| "step": 203 | |
| }, | |
| { | |
| "epoch": 0.18053097345132743, | |
| "grad_norm": 14.584334373474121, | |
| "learning_rate": 7.075471698113208e-07, | |
| "loss": 2.9074, | |
| "step": 204 | |
| }, | |
| { | |
| "epoch": 0.18141592920353983, | |
| "grad_norm": 13.474750518798828, | |
| "learning_rate": 7.110849056603773e-07, | |
| "loss": 2.542, | |
| "step": 205 | |
| }, | |
| { | |
| "epoch": 0.18230088495575222, | |
| "grad_norm": 11.853781700134277, | |
| "learning_rate": 7.14622641509434e-07, | |
| "loss": 1.7312, | |
| "step": 206 | |
| }, | |
| { | |
| "epoch": 0.1831858407079646, | |
| "grad_norm": 12.289971351623535, | |
| "learning_rate": 7.181603773584905e-07, | |
| "loss": 1.6768, | |
| "step": 207 | |
| }, | |
| { | |
| "epoch": 0.184070796460177, | |
| "grad_norm": 16.296539306640625, | |
| "learning_rate": 7.216981132075472e-07, | |
| "loss": 2.531, | |
| "step": 208 | |
| }, | |
| { | |
| "epoch": 0.18495575221238938, | |
| "grad_norm": 17.131324768066406, | |
| "learning_rate": 7.252358490566038e-07, | |
| "loss": 2.9222, | |
| "step": 209 | |
| }, | |
| { | |
| "epoch": 0.18584070796460178, | |
| "grad_norm": 12.739492416381836, | |
| "learning_rate": 7.287735849056604e-07, | |
| "loss": 2.4152, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 0.18672566371681415, | |
| "grad_norm": 10.511398315429688, | |
| "learning_rate": 7.32311320754717e-07, | |
| "loss": 1.4345, | |
| "step": 211 | |
| }, | |
| { | |
| "epoch": 0.18761061946902655, | |
| "grad_norm": 12.478878021240234, | |
| "learning_rate": 7.358490566037736e-07, | |
| "loss": 1.5864, | |
| "step": 212 | |
| }, | |
| { | |
| "epoch": 0.18849557522123894, | |
| "grad_norm": 10.100104331970215, | |
| "learning_rate": 7.393867924528302e-07, | |
| "loss": 1.272, | |
| "step": 213 | |
| }, | |
| { | |
| "epoch": 0.18938053097345134, | |
| "grad_norm": 10.771380424499512, | |
| "learning_rate": 7.429245283018868e-07, | |
| "loss": 1.7011, | |
| "step": 214 | |
| }, | |
| { | |
| "epoch": 0.1902654867256637, | |
| "grad_norm": 15.291692733764648, | |
| "learning_rate": 7.464622641509434e-07, | |
| "loss": 3.0076, | |
| "step": 215 | |
| }, | |
| { | |
| "epoch": 0.1911504424778761, | |
| "grad_norm": 15.702594757080078, | |
| "learning_rate": 7.5e-07, | |
| "loss": 2.468, | |
| "step": 216 | |
| }, | |
| { | |
| "epoch": 0.1920353982300885, | |
| "grad_norm": 14.604419708251953, | |
| "learning_rate": 7.535377358490567e-07, | |
| "loss": 2.0796, | |
| "step": 217 | |
| }, | |
| { | |
| "epoch": 0.1929203539823009, | |
| "grad_norm": 18.808080673217773, | |
| "learning_rate": 7.570754716981133e-07, | |
| "loss": 2.9735, | |
| "step": 218 | |
| }, | |
| { | |
| "epoch": 0.19380530973451326, | |
| "grad_norm": 15.642558097839355, | |
| "learning_rate": 7.606132075471698e-07, | |
| "loss": 2.5506, | |
| "step": 219 | |
| }, | |
| { | |
| "epoch": 0.19469026548672566, | |
| "grad_norm": 11.20150089263916, | |
| "learning_rate": 7.641509433962264e-07, | |
| "loss": 1.7307, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.19557522123893806, | |
| "grad_norm": 11.246394157409668, | |
| "learning_rate": 7.67688679245283e-07, | |
| "loss": 1.4519, | |
| "step": 221 | |
| }, | |
| { | |
| "epoch": 0.19646017699115045, | |
| "grad_norm": 11.744650840759277, | |
| "learning_rate": 7.712264150943397e-07, | |
| "loss": 1.7292, | |
| "step": 222 | |
| }, | |
| { | |
| "epoch": 0.19734513274336282, | |
| "grad_norm": 11.411338806152344, | |
| "learning_rate": 7.747641509433962e-07, | |
| "loss": 1.4664, | |
| "step": 223 | |
| }, | |
| { | |
| "epoch": 0.19823008849557522, | |
| "grad_norm": 12.0331392288208, | |
| "learning_rate": 7.783018867924529e-07, | |
| "loss": 1.6201, | |
| "step": 224 | |
| }, | |
| { | |
| "epoch": 0.19911504424778761, | |
| "grad_norm": 15.52979564666748, | |
| "learning_rate": 7.818396226415095e-07, | |
| "loss": 2.3483, | |
| "step": 225 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 12.872408866882324, | |
| "learning_rate": 7.853773584905662e-07, | |
| "loss": 2.1311, | |
| "step": 226 | |
| }, | |
| { | |
| "epoch": 0.20088495575221238, | |
| "grad_norm": 15.520133018493652, | |
| "learning_rate": 7.889150943396226e-07, | |
| "loss": 2.3272, | |
| "step": 227 | |
| }, | |
| { | |
| "epoch": 0.20176991150442478, | |
| "grad_norm": 14.214468955993652, | |
| "learning_rate": 7.924528301886793e-07, | |
| "loss": 2.6164, | |
| "step": 228 | |
| }, | |
| { | |
| "epoch": 0.20265486725663717, | |
| "grad_norm": 11.147010803222656, | |
| "learning_rate": 7.959905660377359e-07, | |
| "loss": 1.6261, | |
| "step": 229 | |
| }, | |
| { | |
| "epoch": 0.20353982300884957, | |
| "grad_norm": 14.623574256896973, | |
| "learning_rate": 7.995283018867926e-07, | |
| "loss": 2.5293, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 0.20442477876106194, | |
| "grad_norm": 11.993956565856934, | |
| "learning_rate": 8.03066037735849e-07, | |
| "loss": 1.2885, | |
| "step": 231 | |
| }, | |
| { | |
| "epoch": 0.20530973451327433, | |
| "grad_norm": 17.700708389282227, | |
| "learning_rate": 8.066037735849056e-07, | |
| "loss": 2.0039, | |
| "step": 232 | |
| }, | |
| { | |
| "epoch": 0.20619469026548673, | |
| "grad_norm": 19.518352508544922, | |
| "learning_rate": 8.101415094339623e-07, | |
| "loss": 3.0003, | |
| "step": 233 | |
| }, | |
| { | |
| "epoch": 0.20707964601769913, | |
| "grad_norm": 12.744159698486328, | |
| "learning_rate": 8.136792452830189e-07, | |
| "loss": 2.0491, | |
| "step": 234 | |
| }, | |
| { | |
| "epoch": 0.2079646017699115, | |
| "grad_norm": 11.839001655578613, | |
| "learning_rate": 8.172169811320755e-07, | |
| "loss": 2.0178, | |
| "step": 235 | |
| }, | |
| { | |
| "epoch": 0.2088495575221239, | |
| "grad_norm": 15.795985221862793, | |
| "learning_rate": 8.207547169811321e-07, | |
| "loss": 1.8532, | |
| "step": 236 | |
| }, | |
| { | |
| "epoch": 0.2097345132743363, | |
| "grad_norm": 14.999555587768555, | |
| "learning_rate": 8.242924528301888e-07, | |
| "loss": 2.3614, | |
| "step": 237 | |
| }, | |
| { | |
| "epoch": 0.21061946902654868, | |
| "grad_norm": 10.802149772644043, | |
| "learning_rate": 8.278301886792453e-07, | |
| "loss": 1.1889, | |
| "step": 238 | |
| }, | |
| { | |
| "epoch": 0.21150442477876105, | |
| "grad_norm": 12.038461685180664, | |
| "learning_rate": 8.313679245283019e-07, | |
| "loss": 1.4833, | |
| "step": 239 | |
| }, | |
| { | |
| "epoch": 0.21238938053097345, | |
| "grad_norm": 17.69329071044922, | |
| "learning_rate": 8.349056603773585e-07, | |
| "loss": 2.8687, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.21238938053097345, | |
| "eval_Qnli-dev_cosine_accuracy": 0.66015625, | |
| "eval_Qnli-dev_cosine_accuracy_threshold": 0.8744948506355286, | |
| "eval_Qnli-dev_cosine_ap": 0.6610633478265061, | |
| "eval_Qnli-dev_cosine_f1": 0.6646433990895295, | |
| "eval_Qnli-dev_cosine_f1_threshold": 0.753309965133667, | |
| "eval_Qnli-dev_cosine_precision": 0.5177304964539007, | |
| "eval_Qnli-dev_cosine_recall": 0.9279661016949152, | |
| "eval_Qnli-dev_dot_accuracy": 0.66015625, | |
| "eval_Qnli-dev_dot_accuracy_threshold": 670.719970703125, | |
| "eval_Qnli-dev_dot_ap": 0.6607472505349153, | |
| "eval_Qnli-dev_dot_f1": 0.6646433990895295, | |
| "eval_Qnli-dev_dot_f1_threshold": 578.874755859375, | |
| "eval_Qnli-dev_dot_precision": 0.5177304964539007, | |
| "eval_Qnli-dev_dot_recall": 0.9279661016949152, | |
| "eval_Qnli-dev_euclidean_accuracy": 0.66015625, | |
| "eval_Qnli-dev_euclidean_accuracy_threshold": 13.881525039672852, | |
| "eval_Qnli-dev_euclidean_ap": 0.6611053426809266, | |
| "eval_Qnli-dev_euclidean_f1": 0.6646433990895295, | |
| "eval_Qnli-dev_euclidean_f1_threshold": 19.471359252929688, | |
| "eval_Qnli-dev_euclidean_precision": 0.5177304964539007, | |
| "eval_Qnli-dev_euclidean_recall": 0.9279661016949152, | |
| "eval_Qnli-dev_manhattan_accuracy": 0.666015625, | |
| "eval_Qnli-dev_manhattan_accuracy_threshold": 281.9825134277344, | |
| "eval_Qnli-dev_manhattan_ap": 0.6664006509577655, | |
| "eval_Qnli-dev_manhattan_f1": 0.6678899082568808, | |
| "eval_Qnli-dev_manhattan_f1_threshold": 328.83447265625, | |
| "eval_Qnli-dev_manhattan_precision": 0.5889967637540453, | |
| "eval_Qnli-dev_manhattan_recall": 0.7711864406779662, | |
| "eval_Qnli-dev_max_accuracy": 0.666015625, | |
| "eval_Qnli-dev_max_accuracy_threshold": 670.719970703125, | |
| "eval_Qnli-dev_max_ap": 0.6664006509577655, | |
| "eval_Qnli-dev_max_f1": 0.6678899082568808, | |
| "eval_Qnli-dev_max_f1_threshold": 578.874755859375, | |
| "eval_Qnli-dev_max_precision": 0.5889967637540453, | |
| "eval_Qnli-dev_max_recall": 0.9279661016949152, | |
| "eval_allNLI-dev_cosine_accuracy": 0.66796875, | |
| "eval_allNLI-dev_cosine_accuracy_threshold": 0.9727417230606079, | |
| "eval_allNLI-dev_cosine_ap": 0.4443750308487611, | |
| "eval_allNLI-dev_cosine_f1": 0.5338983050847458, | |
| "eval_allNLI-dev_cosine_f1_threshold": 0.8509687781333923, | |
| "eval_allNLI-dev_cosine_precision": 0.4214046822742475, | |
| "eval_allNLI-dev_cosine_recall": 0.7283236994219653, | |
| "eval_allNLI-dev_dot_accuracy": 0.66796875, | |
| "eval_allNLI-dev_dot_accuracy_threshold": 747.4664916992188, | |
| "eval_allNLI-dev_dot_ap": 0.4447331164315086, | |
| "eval_allNLI-dev_dot_f1": 0.5347368421052632, | |
| "eval_allNLI-dev_dot_f1_threshold": 652.6121826171875, | |
| "eval_allNLI-dev_dot_precision": 0.4205298013245033, | |
| "eval_allNLI-dev_dot_recall": 0.7341040462427746, | |
| "eval_allNLI-dev_euclidean_accuracy": 0.66796875, | |
| "eval_allNLI-dev_euclidean_accuracy_threshold": 6.472302436828613, | |
| "eval_allNLI-dev_euclidean_ap": 0.44436910603457025, | |
| "eval_allNLI-dev_euclidean_f1": 0.5338983050847458, | |
| "eval_allNLI-dev_euclidean_f1_threshold": 15.134000778198242, | |
| "eval_allNLI-dev_euclidean_precision": 0.4214046822742475, | |
| "eval_allNLI-dev_euclidean_recall": 0.7283236994219653, | |
| "eval_allNLI-dev_manhattan_accuracy": 0.673828125, | |
| "eval_allNLI-dev_manhattan_accuracy_threshold": 185.35494995117188, | |
| "eval_allNLI-dev_manhattan_ap": 0.45330636568192945, | |
| "eval_allNLI-dev_manhattan_f1": 0.5340909090909091, | |
| "eval_allNLI-dev_manhattan_f1_threshold": 316.48419189453125, | |
| "eval_allNLI-dev_manhattan_precision": 0.3971830985915493, | |
| "eval_allNLI-dev_manhattan_recall": 0.815028901734104, | |
| "eval_allNLI-dev_max_accuracy": 0.673828125, | |
| "eval_allNLI-dev_max_accuracy_threshold": 747.4664916992188, | |
| "eval_allNLI-dev_max_ap": 0.45330636568192945, | |
| "eval_allNLI-dev_max_f1": 0.5347368421052632, | |
| "eval_allNLI-dev_max_f1_threshold": 652.6121826171875, | |
| "eval_allNLI-dev_max_precision": 0.4214046822742475, | |
| "eval_allNLI-dev_max_recall": 0.815028901734104, | |
| "eval_sequential_score": 0.6664006509577655, | |
| "eval_sts-test_pearson_cosine": 0.3977846210139704, | |
| "eval_sts-test_pearson_dot": 0.3974381713503513, | |
| "eval_sts-test_pearson_euclidean": 0.42060129087924125, | |
| "eval_sts-test_pearson_manhattan": 0.43174431600737306, | |
| "eval_sts-test_pearson_max": 0.43174431600737306, | |
| "eval_sts-test_spearman_cosine": 0.44299644096637864, | |
| "eval_sts-test_spearman_dot": 0.4426330607320026, | |
| "eval_sts-test_spearman_euclidean": 0.44300328790921845, | |
| "eval_sts-test_spearman_manhattan": 0.4553695033739603, | |
| "eval_sts-test_spearman_max": 0.4553695033739603, | |
| "eval_vitaminc-pairs_loss": 2.721532106399536, | |
| "eval_vitaminc-pairs_runtime": 3.756, | |
| "eval_vitaminc-pairs_samples_per_second": 34.079, | |
| "eval_vitaminc-pairs_steps_per_second": 0.266, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.21238938053097345, | |
| "eval_negation-triplets_loss": 4.154361248016357, | |
| "eval_negation-triplets_runtime": 0.7084, | |
| "eval_negation-triplets_samples_per_second": 180.694, | |
| "eval_negation-triplets_steps_per_second": 1.412, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.21238938053097345, | |
| "eval_scitail-pairs-pos_loss": 0.4166124761104584, | |
| "eval_scitail-pairs-pos_runtime": 0.8374, | |
| "eval_scitail-pairs-pos_samples_per_second": 152.85, | |
| "eval_scitail-pairs-pos_steps_per_second": 1.194, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.21238938053097345, | |
| "eval_scitail-pairs-qa_loss": 0.3875552713871002, | |
| "eval_scitail-pairs-qa_runtime": 0.5637, | |
| "eval_scitail-pairs-qa_samples_per_second": 227.065, | |
| "eval_scitail-pairs-qa_steps_per_second": 1.774, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.21238938053097345, | |
| "eval_xsum-pairs_loss": 3.315666437149048, | |
| "eval_xsum-pairs_runtime": 2.9088, | |
| "eval_xsum-pairs_samples_per_second": 44.004, | |
| "eval_xsum-pairs_steps_per_second": 0.344, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.21238938053097345, | |
| "eval_sciq_pairs_loss": 0.37107861042022705, | |
| "eval_sciq_pairs_runtime": 3.7824, | |
| "eval_sciq_pairs_samples_per_second": 33.841, | |
| "eval_sciq_pairs_steps_per_second": 0.264, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.21238938053097345, | |
| "eval_qasc_pairs_loss": 1.4818006753921509, | |
| "eval_qasc_pairs_runtime": 0.6698, | |
| "eval_qasc_pairs_samples_per_second": 191.109, | |
| "eval_qasc_pairs_steps_per_second": 1.493, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.21238938053097345, | |
| "eval_openbookqa_pairs_loss": 2.693885564804077, | |
| "eval_openbookqa_pairs_runtime": 0.5747, | |
| "eval_openbookqa_pairs_samples_per_second": 222.725, | |
| "eval_openbookqa_pairs_steps_per_second": 1.74, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.21238938053097345, | |
| "eval_msmarco_pairs_loss": 3.245403528213501, | |
| "eval_msmarco_pairs_runtime": 1.2573, | |
| "eval_msmarco_pairs_samples_per_second": 101.804, | |
| "eval_msmarco_pairs_steps_per_second": 0.795, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.21238938053097345, | |
| "eval_nq_pairs_loss": 3.979779005050659, | |
| "eval_nq_pairs_runtime": 2.5086, | |
| "eval_nq_pairs_samples_per_second": 51.025, | |
| "eval_nq_pairs_steps_per_second": 0.399, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.21238938053097345, | |
| "eval_trivia_pairs_loss": 3.594862937927246, | |
| "eval_trivia_pairs_runtime": 3.6534, | |
| "eval_trivia_pairs_samples_per_second": 35.036, | |
| "eval_trivia_pairs_steps_per_second": 0.274, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.21238938053097345, | |
| "eval_gooaq_pairs_loss": 3.226611852645874, | |
| "eval_gooaq_pairs_runtime": 1.0202, | |
| "eval_gooaq_pairs_samples_per_second": 125.465, | |
| "eval_gooaq_pairs_steps_per_second": 0.98, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.21238938053097345, | |
| "eval_paws-pos_loss": 0.12748712301254272, | |
| "eval_paws-pos_runtime": 0.6844, | |
| "eval_paws-pos_samples_per_second": 187.034, | |
| "eval_paws-pos_steps_per_second": 1.461, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.21238938053097345, | |
| "eval_global_dataset_loss": 1.8867173194885254, | |
| "eval_global_dataset_runtime": 23.0217, | |
| "eval_global_dataset_samples_per_second": 28.799, | |
| "eval_global_dataset_steps_per_second": 0.261, | |
| "step": 240 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 3390, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "save_steps": 80, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 0.0, | |
| "train_batch_size": 42, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |