| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.3488372093023256, | |
| "eval_steps": 2, | |
| "global_step": 12, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.029069767441860465, | |
| "grad_norm": 13.73514461517334, | |
| "learning_rate": 3.3333333333333333e-06, | |
| "loss": 6.7536, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.05813953488372093, | |
| "grad_norm": 16.892961502075195, | |
| "learning_rate": 6.666666666666667e-06, | |
| "loss": 6.6203, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.05813953488372093, | |
| "eval_NLI-v2_cosine_accuracy": 1.0, | |
| "eval_NLI-v2_dot_accuracy": 0.109375, | |
| "eval_NLI-v2_euclidean_accuracy": 1.0, | |
| "eval_NLI-v2_manhattan_accuracy": 1.0, | |
| "eval_NLI-v2_max_accuracy": 1.0, | |
| "eval_VitaminC_cosine_accuracy": 0.55078125, | |
| "eval_VitaminC_cosine_accuracy_threshold": 0.9469717741012573, | |
| "eval_VitaminC_cosine_ap": 0.5165514227338435, | |
| "eval_VitaminC_cosine_f1": 0.6525198938992042, | |
| "eval_VitaminC_cosine_f1_threshold": 0.4987494945526123, | |
| "eval_VitaminC_cosine_precision": 0.484251968503937, | |
| "eval_VitaminC_cosine_recall": 1.0, | |
| "eval_VitaminC_dot_accuracy": 0.55078125, | |
| "eval_VitaminC_dot_accuracy_threshold": 417.45166015625, | |
| "eval_VitaminC_dot_ap": 0.5125282416460941, | |
| "eval_VitaminC_dot_f1": 0.6525198938992042, | |
| "eval_VitaminC_dot_f1_threshold": 200.84530639648438, | |
| "eval_VitaminC_dot_precision": 0.484251968503937, | |
| "eval_VitaminC_dot_recall": 1.0, | |
| "eval_VitaminC_euclidean_accuracy": 0.546875, | |
| "eval_VitaminC_euclidean_accuracy_threshold": 6.841136932373047, | |
| "eval_VitaminC_euclidean_ap": 0.512994913068431, | |
| "eval_VitaminC_euclidean_f1": 0.6525198938992042, | |
| "eval_VitaminC_euclidean_f1_threshold": 20.22179412841797, | |
| "eval_VitaminC_euclidean_precision": 0.484251968503937, | |
| "eval_VitaminC_euclidean_recall": 1.0, | |
| "eval_VitaminC_manhattan_accuracy": 0.546875, | |
| "eval_VitaminC_manhattan_accuracy_threshold": 117.1143569946289, | |
| "eval_VitaminC_manhattan_ap": 0.5177961641566705, | |
| "eval_VitaminC_manhattan_f1": 0.6542553191489362, | |
| "eval_VitaminC_manhattan_f1_threshold": 292.3347473144531, | |
| "eval_VitaminC_manhattan_precision": 0.48616600790513836, | |
| "eval_VitaminC_manhattan_recall": 1.0, | |
| "eval_VitaminC_max_accuracy": 0.55078125, | |
| "eval_VitaminC_max_accuracy_threshold": 417.45166015625, | |
| "eval_VitaminC_max_ap": 0.5177961641566705, | |
| "eval_VitaminC_max_f1": 0.6542553191489362, | |
| "eval_VitaminC_max_f1_threshold": 292.3347473144531, | |
| "eval_VitaminC_max_precision": 0.48616600790513836, | |
| "eval_VitaminC_max_recall": 1.0, | |
| "eval_sequential_score": 0.5177961641566705, | |
| "eval_sts-test_pearson_cosine": 0.017178505918243114, | |
| "eval_sts-test_pearson_dot": 0.16228524441844774, | |
| "eval_sts-test_pearson_euclidean": 0.024391561236282323, | |
| "eval_sts-test_pearson_manhattan": 0.059272519732015624, | |
| "eval_sts-test_pearson_max": 0.16228524441844774, | |
| "eval_sts-test_spearman_cosine": 0.07115563415775981, | |
| "eval_sts-test_spearman_dot": 0.1967074668301984, | |
| "eval_sts-test_spearman_euclidean": 0.05117306486959643, | |
| "eval_sts-test_spearman_manhattan": 0.07641354546391785, | |
| "eval_sts-test_spearman_max": 0.1967074668301984, | |
| "eval_vitaminc-pairs_loss": 2.72658371925354, | |
| "eval_vitaminc-pairs_runtime": 1.4719, | |
| "eval_vitaminc-pairs_samples_per_second": 73.373, | |
| "eval_vitaminc-pairs_steps_per_second": 1.359, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.05813953488372093, | |
| "eval_negation-triplets_loss": 5.094177722930908, | |
| "eval_negation-triplets_runtime": 0.3027, | |
| "eval_negation-triplets_samples_per_second": 211.46, | |
| "eval_negation-triplets_steps_per_second": 3.304, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.05813953488372093, | |
| "eval_scitail-pairs-pos_loss": 1.9183871746063232, | |
| "eval_scitail-pairs-pos_runtime": 0.3785, | |
| "eval_scitail-pairs-pos_samples_per_second": 142.654, | |
| "eval_scitail-pairs-pos_steps_per_second": 2.642, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.05813953488372093, | |
| "eval_xsum-pairs_loss": 6.3277668952941895, | |
| "eval_xsum-pairs_runtime": 3.4205, | |
| "eval_xsum-pairs_samples_per_second": 37.422, | |
| "eval_xsum-pairs_steps_per_second": 0.585, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.05813953488372093, | |
| "eval_sciq_pairs_loss": 0.36539140343666077, | |
| "eval_sciq_pairs_runtime": 3.4462, | |
| "eval_sciq_pairs_samples_per_second": 37.143, | |
| "eval_sciq_pairs_steps_per_second": 0.58, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.05813953488372093, | |
| "eval_qasc_pairs_loss": 3.9689104557037354, | |
| "eval_qasc_pairs_runtime": 0.6477, | |
| "eval_qasc_pairs_samples_per_second": 197.636, | |
| "eval_qasc_pairs_steps_per_second": 3.088, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.05813953488372093, | |
| "eval_openbookqa_pairs_loss": 4.7439374923706055, | |
| "eval_openbookqa_pairs_runtime": 0.5759, | |
| "eval_openbookqa_pairs_samples_per_second": 222.248, | |
| "eval_openbookqa_pairs_steps_per_second": 3.473, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.05813953488372093, | |
| "eval_msmarco_pairs_loss": 10.51363754272461, | |
| "eval_msmarco_pairs_runtime": 1.3036, | |
| "eval_msmarco_pairs_samples_per_second": 98.189, | |
| "eval_msmarco_pairs_steps_per_second": 1.534, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.05813953488372093, | |
| "eval_nq_pairs_loss": 4.969011306762695, | |
| "eval_nq_pairs_runtime": 2.5922, | |
| "eval_nq_pairs_samples_per_second": 49.378, | |
| "eval_nq_pairs_steps_per_second": 0.772, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.05813953488372093, | |
| "eval_trivia_pairs_loss": 3.8609507083892822, | |
| "eval_trivia_pairs_runtime": 4.3666, | |
| "eval_trivia_pairs_samples_per_second": 29.314, | |
| "eval_trivia_pairs_steps_per_second": 0.458, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.05813953488372093, | |
| "eval_gooaq_pairs_loss": 8.041110038757324, | |
| "eval_gooaq_pairs_runtime": 0.9119, | |
| "eval_gooaq_pairs_samples_per_second": 140.361, | |
| "eval_gooaq_pairs_steps_per_second": 2.193, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.05813953488372093, | |
| "eval_paws-pos_loss": 2.21897029876709, | |
| "eval_paws-pos_runtime": 0.6905, | |
| "eval_paws-pos_samples_per_second": 185.364, | |
| "eval_paws-pos_steps_per_second": 2.896, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.0872093023255814, | |
| "grad_norm": 15.801941871643066, | |
| "learning_rate": 1e-05, | |
| "loss": 6.7963, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.11627906976744186, | |
| "grad_norm": 11.94517993927002, | |
| "learning_rate": 1.3333333333333333e-05, | |
| "loss": 6.4488, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.11627906976744186, | |
| "eval_NLI-v2_cosine_accuracy": 1.0, | |
| "eval_NLI-v2_dot_accuracy": 0.109375, | |
| "eval_NLI-v2_euclidean_accuracy": 1.0, | |
| "eval_NLI-v2_manhattan_accuracy": 1.0, | |
| "eval_NLI-v2_max_accuracy": 1.0, | |
| "eval_VitaminC_cosine_accuracy": 0.55078125, | |
| "eval_VitaminC_cosine_accuracy_threshold": 0.9437637329101562, | |
| "eval_VitaminC_cosine_ap": 0.5161989667198088, | |
| "eval_VitaminC_cosine_f1": 0.6525198938992042, | |
| "eval_VitaminC_cosine_f1_threshold": 0.56722092628479, | |
| "eval_VitaminC_cosine_precision": 0.484251968503937, | |
| "eval_VitaminC_cosine_recall": 1.0, | |
| "eval_VitaminC_dot_accuracy": 0.546875, | |
| "eval_VitaminC_dot_accuracy_threshold": 416.9976806640625, | |
| "eval_VitaminC_dot_ap": 0.515337582265173, | |
| "eval_VitaminC_dot_f1": 0.6507936507936508, | |
| "eval_VitaminC_dot_f1_threshold": 223.1047821044922, | |
| "eval_VitaminC_dot_precision": 0.4823529411764706, | |
| "eval_VitaminC_dot_recall": 1.0, | |
| "eval_VitaminC_euclidean_accuracy": 0.55078125, | |
| "eval_VitaminC_euclidean_accuracy_threshold": 6.841610908508301, | |
| "eval_VitaminC_euclidean_ap": 0.5167890569390883, | |
| "eval_VitaminC_euclidean_f1": 0.6542553191489362, | |
| "eval_VitaminC_euclidean_f1_threshold": 18.548978805541992, | |
| "eval_VitaminC_euclidean_precision": 0.48616600790513836, | |
| "eval_VitaminC_euclidean_recall": 1.0, | |
| "eval_VitaminC_manhattan_accuracy": 0.54296875, | |
| "eval_VitaminC_manhattan_accuracy_threshold": 110.40855407714844, | |
| "eval_VitaminC_manhattan_ap": 0.5219582103185639, | |
| "eval_VitaminC_manhattan_f1": 0.6542553191489362, | |
| "eval_VitaminC_manhattan_f1_threshold": 282.48602294921875, | |
| "eval_VitaminC_manhattan_precision": 0.48616600790513836, | |
| "eval_VitaminC_manhattan_recall": 1.0, | |
| "eval_VitaminC_max_accuracy": 0.55078125, | |
| "eval_VitaminC_max_accuracy_threshold": 416.9976806640625, | |
| "eval_VitaminC_max_ap": 0.5219582103185639, | |
| "eval_VitaminC_max_f1": 0.6542553191489362, | |
| "eval_VitaminC_max_f1_threshold": 282.48602294921875, | |
| "eval_VitaminC_max_precision": 0.48616600790513836, | |
| "eval_VitaminC_max_recall": 1.0, | |
| "eval_sequential_score": 0.5219582103185639, | |
| "eval_sts-test_pearson_cosine": 0.025276809579094173, | |
| "eval_sts-test_pearson_dot": 0.21470147681711343, | |
| "eval_sts-test_pearson_euclidean": 0.027783806662194415, | |
| "eval_sts-test_pearson_manhattan": 0.059736177006118926, | |
| "eval_sts-test_pearson_max": 0.21470147681711343, | |
| "eval_sts-test_spearman_cosine": 0.0776783582433888, | |
| "eval_sts-test_spearman_dot": 0.2491347682204262, | |
| "eval_sts-test_spearman_euclidean": 0.054640386155863654, | |
| "eval_sts-test_spearman_manhattan": 0.07764379287610436, | |
| "eval_sts-test_spearman_max": 0.2491347682204262, | |
| "eval_vitaminc-pairs_loss": 2.7045021057128906, | |
| "eval_vitaminc-pairs_runtime": 1.4394, | |
| "eval_vitaminc-pairs_samples_per_second": 75.033, | |
| "eval_vitaminc-pairs_steps_per_second": 1.389, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.11627906976744186, | |
| "eval_negation-triplets_loss": 5.081584453582764, | |
| "eval_negation-triplets_runtime": 0.2952, | |
| "eval_negation-triplets_samples_per_second": 216.79, | |
| "eval_negation-triplets_steps_per_second": 3.387, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.11627906976744186, | |
| "eval_scitail-pairs-pos_loss": 1.9186776876449585, | |
| "eval_scitail-pairs-pos_runtime": 0.3702, | |
| "eval_scitail-pairs-pos_samples_per_second": 145.879, | |
| "eval_scitail-pairs-pos_steps_per_second": 2.701, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.11627906976744186, | |
| "eval_xsum-pairs_loss": 6.199001312255859, | |
| "eval_xsum-pairs_runtime": 3.4227, | |
| "eval_xsum-pairs_samples_per_second": 37.398, | |
| "eval_xsum-pairs_steps_per_second": 0.584, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.11627906976744186, | |
| "eval_sciq_pairs_loss": 0.3414052426815033, | |
| "eval_sciq_pairs_runtime": 3.4403, | |
| "eval_sciq_pairs_samples_per_second": 37.206, | |
| "eval_sciq_pairs_steps_per_second": 0.581, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.11627906976744186, | |
| "eval_qasc_pairs_loss": 3.662200927734375, | |
| "eval_qasc_pairs_runtime": 0.6486, | |
| "eval_qasc_pairs_samples_per_second": 197.349, | |
| "eval_qasc_pairs_steps_per_second": 3.084, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.11627906976744186, | |
| "eval_openbookqa_pairs_loss": 4.650759220123291, | |
| "eval_openbookqa_pairs_runtime": 0.5722, | |
| "eval_openbookqa_pairs_samples_per_second": 223.702, | |
| "eval_openbookqa_pairs_steps_per_second": 3.495, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.11627906976744186, | |
| "eval_msmarco_pairs_loss": 9.487885475158691, | |
| "eval_msmarco_pairs_runtime": 1.2978, | |
| "eval_msmarco_pairs_samples_per_second": 98.63, | |
| "eval_msmarco_pairs_steps_per_second": 1.541, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.11627906976744186, | |
| "eval_nq_pairs_loss": 4.4714131355285645, | |
| "eval_nq_pairs_runtime": 2.569, | |
| "eval_nq_pairs_samples_per_second": 49.824, | |
| "eval_nq_pairs_steps_per_second": 0.779, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.11627906976744186, | |
| "eval_trivia_pairs_loss": 3.5246145725250244, | |
| "eval_trivia_pairs_runtime": 4.3557, | |
| "eval_trivia_pairs_samples_per_second": 29.387, | |
| "eval_trivia_pairs_steps_per_second": 0.459, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.11627906976744186, | |
| "eval_gooaq_pairs_loss": 7.395092010498047, | |
| "eval_gooaq_pairs_runtime": 0.9109, | |
| "eval_gooaq_pairs_samples_per_second": 140.521, | |
| "eval_gooaq_pairs_steps_per_second": 2.196, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.11627906976744186, | |
| "eval_paws-pos_loss": 2.233201742172241, | |
| "eval_paws-pos_runtime": 0.6853, | |
| "eval_paws-pos_samples_per_second": 186.773, | |
| "eval_paws-pos_steps_per_second": 2.918, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.14534883720930233, | |
| "grad_norm": 6.336462497711182, | |
| "learning_rate": 1.6666666666666667e-05, | |
| "loss": 6.5567, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.1744186046511628, | |
| "grad_norm": 30.24117660522461, | |
| "learning_rate": 2e-05, | |
| "loss": 7.994, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.1744186046511628, | |
| "eval_NLI-v2_cosine_accuracy": 1.0, | |
| "eval_NLI-v2_dot_accuracy": 0.125, | |
| "eval_NLI-v2_euclidean_accuracy": 1.0, | |
| "eval_NLI-v2_manhattan_accuracy": 1.0, | |
| "eval_NLI-v2_max_accuracy": 1.0, | |
| "eval_VitaminC_cosine_accuracy": 0.546875, | |
| "eval_VitaminC_cosine_accuracy_threshold": 0.9505010843276978, | |
| "eval_VitaminC_cosine_ap": 0.5220332354916479, | |
| "eval_VitaminC_cosine_f1": 0.6542553191489362, | |
| "eval_VitaminC_cosine_f1_threshold": 0.6742120385169983, | |
| "eval_VitaminC_cosine_precision": 0.48616600790513836, | |
| "eval_VitaminC_cosine_recall": 1.0, | |
| "eval_VitaminC_dot_accuracy": 0.55859375, | |
| "eval_VitaminC_dot_accuracy_threshold": 410.96356201171875, | |
| "eval_VitaminC_dot_ap": 0.5098545013010067, | |
| "eval_VitaminC_dot_f1": 0.6507936507936508, | |
| "eval_VitaminC_dot_f1_threshold": 259.4541015625, | |
| "eval_VitaminC_dot_precision": 0.4823529411764706, | |
| "eval_VitaminC_dot_recall": 1.0, | |
| "eval_VitaminC_euclidean_accuracy": 0.55078125, | |
| "eval_VitaminC_euclidean_accuracy_threshold": 6.85032844543457, | |
| "eval_VitaminC_euclidean_ap": 0.5187640034678729, | |
| "eval_VitaminC_euclidean_f1": 0.6522911051212938, | |
| "eval_VitaminC_euclidean_f1_threshold": 15.907812118530273, | |
| "eval_VitaminC_euclidean_precision": 0.4879032258064516, | |
| "eval_VitaminC_euclidean_recall": 0.983739837398374, | |
| "eval_VitaminC_manhattan_accuracy": 0.54296875, | |
| "eval_VitaminC_manhattan_accuracy_threshold": 128.04562377929688, | |
| "eval_VitaminC_manhattan_ap": 0.5216728184773658, | |
| "eval_VitaminC_manhattan_f1": 0.6542553191489362, | |
| "eval_VitaminC_manhattan_f1_threshold": 266.50201416015625, | |
| "eval_VitaminC_manhattan_precision": 0.48616600790513836, | |
| "eval_VitaminC_manhattan_recall": 1.0, | |
| "eval_VitaminC_max_accuracy": 0.55859375, | |
| "eval_VitaminC_max_accuracy_threshold": 410.96356201171875, | |
| "eval_VitaminC_max_ap": 0.5220332354916479, | |
| "eval_VitaminC_max_f1": 0.6542553191489362, | |
| "eval_VitaminC_max_f1_threshold": 266.50201416015625, | |
| "eval_VitaminC_max_precision": 0.4879032258064516, | |
| "eval_VitaminC_max_recall": 1.0, | |
| "eval_sequential_score": 0.5220332354916479, | |
| "eval_sts-test_pearson_cosine": 0.03816033089318139, | |
| "eval_sts-test_pearson_dot": 0.2714501319216333, | |
| "eval_sts-test_pearson_euclidean": 0.03534045207172642, | |
| "eval_sts-test_pearson_manhattan": 0.061786120590017285, | |
| "eval_sts-test_pearson_max": 0.2714501319216333, | |
| "eval_sts-test_spearman_cosine": 0.09093735567962451, | |
| "eval_sts-test_spearman_dot": 0.29608861437488704, | |
| "eval_sts-test_spearman_euclidean": 0.06076512778358849, | |
| "eval_sts-test_spearman_manhattan": 0.08153826351124775, | |
| "eval_sts-test_spearman_max": 0.29608861437488704, | |
| "eval_vitaminc-pairs_loss": 2.6921818256378174, | |
| "eval_vitaminc-pairs_runtime": 1.4315, | |
| "eval_vitaminc-pairs_samples_per_second": 75.443, | |
| "eval_vitaminc-pairs_steps_per_second": 1.397, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.1744186046511628, | |
| "eval_negation-triplets_loss": 5.068139553070068, | |
| "eval_negation-triplets_runtime": 0.2981, | |
| "eval_negation-triplets_samples_per_second": 214.716, | |
| "eval_negation-triplets_steps_per_second": 3.355, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.1744186046511628, | |
| "eval_scitail-pairs-pos_loss": 1.9319576025009155, | |
| "eval_scitail-pairs-pos_runtime": 0.3653, | |
| "eval_scitail-pairs-pos_samples_per_second": 147.818, | |
| "eval_scitail-pairs-pos_steps_per_second": 2.737, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.1744186046511628, | |
| "eval_xsum-pairs_loss": 6.079549789428711, | |
| "eval_xsum-pairs_runtime": 3.4013, | |
| "eval_xsum-pairs_samples_per_second": 37.633, | |
| "eval_xsum-pairs_steps_per_second": 0.588, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.1744186046511628, | |
| "eval_sciq_pairs_loss": 0.32075461745262146, | |
| "eval_sciq_pairs_runtime": 3.442, | |
| "eval_sciq_pairs_samples_per_second": 37.188, | |
| "eval_sciq_pairs_steps_per_second": 0.581, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.1744186046511628, | |
| "eval_qasc_pairs_loss": 3.36326265335083, | |
| "eval_qasc_pairs_runtime": 0.6495, | |
| "eval_qasc_pairs_samples_per_second": 197.087, | |
| "eval_qasc_pairs_steps_per_second": 3.079, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.1744186046511628, | |
| "eval_openbookqa_pairs_loss": 4.481137275695801, | |
| "eval_openbookqa_pairs_runtime": 0.5729, | |
| "eval_openbookqa_pairs_samples_per_second": 223.432, | |
| "eval_openbookqa_pairs_steps_per_second": 3.491, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.1744186046511628, | |
| "eval_msmarco_pairs_loss": 8.048794746398926, | |
| "eval_msmarco_pairs_runtime": 1.2936, | |
| "eval_msmarco_pairs_samples_per_second": 98.947, | |
| "eval_msmarco_pairs_steps_per_second": 1.546, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.1744186046511628, | |
| "eval_nq_pairs_loss": 3.7927472591400146, | |
| "eval_nq_pairs_runtime": 2.5733, | |
| "eval_nq_pairs_samples_per_second": 49.741, | |
| "eval_nq_pairs_steps_per_second": 0.777, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.1744186046511628, | |
| "eval_trivia_pairs_loss": 3.284496545791626, | |
| "eval_trivia_pairs_runtime": 4.355, | |
| "eval_trivia_pairs_samples_per_second": 29.391, | |
| "eval_trivia_pairs_steps_per_second": 0.459, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.1744186046511628, | |
| "eval_gooaq_pairs_loss": 6.677769184112549, | |
| "eval_gooaq_pairs_runtime": 0.9178, | |
| "eval_gooaq_pairs_samples_per_second": 139.457, | |
| "eval_gooaq_pairs_steps_per_second": 2.179, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.1744186046511628, | |
| "eval_paws-pos_loss": 2.2626476287841797, | |
| "eval_paws-pos_runtime": 0.6901, | |
| "eval_paws-pos_samples_per_second": 185.475, | |
| "eval_paws-pos_steps_per_second": 2.898, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.20348837209302326, | |
| "grad_norm": 11.503045082092285, | |
| "learning_rate": 2.3333333333333336e-05, | |
| "loss": 7.1037, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.23255813953488372, | |
| "grad_norm": 6.524661540985107, | |
| "learning_rate": 2.6666666666666667e-05, | |
| "loss": 6.6239, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.23255813953488372, | |
| "eval_NLI-v2_cosine_accuracy": 1.0, | |
| "eval_NLI-v2_dot_accuracy": 0.140625, | |
| "eval_NLI-v2_euclidean_accuracy": 1.0, | |
| "eval_NLI-v2_manhattan_accuracy": 1.0, | |
| "eval_NLI-v2_max_accuracy": 1.0, | |
| "eval_VitaminC_cosine_accuracy": 0.55078125, | |
| "eval_VitaminC_cosine_accuracy_threshold": 0.9556466341018677, | |
| "eval_VitaminC_cosine_ap": 0.5262234678756146, | |
| "eval_VitaminC_cosine_f1": 0.6542553191489362, | |
| "eval_VitaminC_cosine_f1_threshold": 0.7482036352157593, | |
| "eval_VitaminC_cosine_precision": 0.48616600790513836, | |
| "eval_VitaminC_cosine_recall": 1.0, | |
| "eval_VitaminC_dot_accuracy": 0.54296875, | |
| "eval_VitaminC_dot_accuracy_threshold": 429.2105712890625, | |
| "eval_VitaminC_dot_ap": 0.5105928204741528, | |
| "eval_VitaminC_dot_f1": 0.6525198938992042, | |
| "eval_VitaminC_dot_f1_threshold": 304.46807861328125, | |
| "eval_VitaminC_dot_precision": 0.484251968503937, | |
| "eval_VitaminC_dot_recall": 1.0, | |
| "eval_VitaminC_euclidean_accuracy": 0.55078125, | |
| "eval_VitaminC_euclidean_accuracy_threshold": 6.457396030426025, | |
| "eval_VitaminC_euclidean_ap": 0.5262113804807371, | |
| "eval_VitaminC_euclidean_f1": 0.6505376344086021, | |
| "eval_VitaminC_euclidean_f1_threshold": 14.363262176513672, | |
| "eval_VitaminC_euclidean_precision": 0.4859437751004016, | |
| "eval_VitaminC_euclidean_recall": 0.983739837398374, | |
| "eval_VitaminC_manhattan_accuracy": 0.546875, | |
| "eval_VitaminC_manhattan_accuracy_threshold": 144.2735137939453, | |
| "eval_VitaminC_manhattan_ap": 0.5216238817948092, | |
| "eval_VitaminC_manhattan_f1": 0.6542553191489362, | |
| "eval_VitaminC_manhattan_f1_threshold": 248.78077697753906, | |
| "eval_VitaminC_manhattan_precision": 0.48616600790513836, | |
| "eval_VitaminC_manhattan_recall": 1.0, | |
| "eval_VitaminC_max_accuracy": 0.55078125, | |
| "eval_VitaminC_max_accuracy_threshold": 429.2105712890625, | |
| "eval_VitaminC_max_ap": 0.5262234678756146, | |
| "eval_VitaminC_max_f1": 0.6542553191489362, | |
| "eval_VitaminC_max_f1_threshold": 304.46807861328125, | |
| "eval_VitaminC_max_precision": 0.48616600790513836, | |
| "eval_VitaminC_max_recall": 1.0, | |
| "eval_sequential_score": 0.5262234678756146, | |
| "eval_sts-test_pearson_cosine": 0.04822016371804072, | |
| "eval_sts-test_pearson_dot": 0.2933829804301914, | |
| "eval_sts-test_pearson_euclidean": 0.0440427995340741, | |
| "eval_sts-test_pearson_manhattan": 0.06814345626491929, | |
| "eval_sts-test_pearson_max": 0.2933829804301914, | |
| "eval_sts-test_spearman_cosine": 0.10311449730221736, | |
| "eval_sts-test_spearman_dot": 0.30840433621335606, | |
| "eval_sts-test_spearman_euclidean": 0.06897119310369988, | |
| "eval_sts-test_spearman_manhattan": 0.08808657402390177, | |
| "eval_sts-test_spearman_max": 0.30840433621335606, | |
| "eval_vitaminc-pairs_loss": 2.7006633281707764, | |
| "eval_vitaminc-pairs_runtime": 1.435, | |
| "eval_vitaminc-pairs_samples_per_second": 75.262, | |
| "eval_vitaminc-pairs_steps_per_second": 1.394, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.23255813953488372, | |
| "eval_negation-triplets_loss": 5.0855937004089355, | |
| "eval_negation-triplets_runtime": 0.2946, | |
| "eval_negation-triplets_samples_per_second": 217.208, | |
| "eval_negation-triplets_steps_per_second": 3.394, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.23255813953488372, | |
| "eval_scitail-pairs-pos_loss": 1.9701284170150757, | |
| "eval_scitail-pairs-pos_runtime": 0.3657, | |
| "eval_scitail-pairs-pos_samples_per_second": 147.656, | |
| "eval_scitail-pairs-pos_steps_per_second": 2.734, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.23255813953488372, | |
| "eval_xsum-pairs_loss": 6.050904273986816, | |
| "eval_xsum-pairs_runtime": 3.4161, | |
| "eval_xsum-pairs_samples_per_second": 37.47, | |
| "eval_xsum-pairs_steps_per_second": 0.585, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.23255813953488372, | |
| "eval_sciq_pairs_loss": 0.31550008058547974, | |
| "eval_sciq_pairs_runtime": 3.4195, | |
| "eval_sciq_pairs_samples_per_second": 37.432, | |
| "eval_sciq_pairs_steps_per_second": 0.585, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.23255813953488372, | |
| "eval_qasc_pairs_loss": 3.174623727798462, | |
| "eval_qasc_pairs_runtime": 0.6393, | |
| "eval_qasc_pairs_samples_per_second": 200.217, | |
| "eval_qasc_pairs_steps_per_second": 3.128, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.23255813953488372, | |
| "eval_openbookqa_pairs_loss": 4.325982570648193, | |
| "eval_openbookqa_pairs_runtime": 0.5723, | |
| "eval_openbookqa_pairs_samples_per_second": 223.64, | |
| "eval_openbookqa_pairs_steps_per_second": 3.494, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.23255813953488372, | |
| "eval_msmarco_pairs_loss": 6.989845275878906, | |
| "eval_msmarco_pairs_runtime": 1.2986, | |
| "eval_msmarco_pairs_samples_per_second": 98.569, | |
| "eval_msmarco_pairs_steps_per_second": 1.54, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.23255813953488372, | |
| "eval_nq_pairs_loss": 3.3526666164398193, | |
| "eval_nq_pairs_runtime": 2.5766, | |
| "eval_nq_pairs_samples_per_second": 49.677, | |
| "eval_nq_pairs_steps_per_second": 0.776, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.23255813953488372, | |
| "eval_trivia_pairs_loss": 3.2416629791259766, | |
| "eval_trivia_pairs_runtime": 4.3655, | |
| "eval_trivia_pairs_samples_per_second": 29.321, | |
| "eval_trivia_pairs_steps_per_second": 0.458, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.23255813953488372, | |
| "eval_gooaq_pairs_loss": 6.288425922393799, | |
| "eval_gooaq_pairs_runtime": 0.9111, | |
| "eval_gooaq_pairs_samples_per_second": 140.492, | |
| "eval_gooaq_pairs_steps_per_second": 2.195, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.23255813953488372, | |
| "eval_paws-pos_loss": 2.351145029067993, | |
| "eval_paws-pos_runtime": 0.6907, | |
| "eval_paws-pos_samples_per_second": 185.325, | |
| "eval_paws-pos_steps_per_second": 2.896, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.2616279069767442, | |
| "grad_norm": 15.498976707458496, | |
| "learning_rate": 3.0000000000000004e-05, | |
| "loss": 6.7359, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.29069767441860467, | |
| "grad_norm": 17.9885311126709, | |
| "learning_rate": 3.3333333333333335e-05, | |
| "loss": 7.0187, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.29069767441860467, | |
| "eval_NLI-v2_cosine_accuracy": 1.0, | |
| "eval_NLI-v2_dot_accuracy": 0.140625, | |
| "eval_NLI-v2_euclidean_accuracy": 1.0, | |
| "eval_NLI-v2_manhattan_accuracy": 1.0, | |
| "eval_NLI-v2_max_accuracy": 1.0, | |
| "eval_VitaminC_cosine_accuracy": 0.55078125, | |
| "eval_VitaminC_cosine_accuracy_threshold": 0.9581937789916992, | |
| "eval_VitaminC_cosine_ap": 0.5266754197706615, | |
| "eval_VitaminC_cosine_f1": 0.6507936507936508, | |
| "eval_VitaminC_cosine_f1_threshold": 0.7856193780899048, | |
| "eval_VitaminC_cosine_precision": 0.4823529411764706, | |
| "eval_VitaminC_cosine_recall": 1.0, | |
| "eval_VitaminC_dot_accuracy": 0.54296875, | |
| "eval_VitaminC_dot_accuracy_threshold": 461.7385559082031, | |
| "eval_VitaminC_dot_ap": 0.5148613370532991, | |
| "eval_VitaminC_dot_f1": 0.6542553191489362, | |
| "eval_VitaminC_dot_f1_threshold": 349.2696838378906, | |
| "eval_VitaminC_dot_precision": 0.48616600790513836, | |
| "eval_VitaminC_dot_recall": 1.0, | |
| "eval_VitaminC_euclidean_accuracy": 0.55078125, | |
| "eval_VitaminC_euclidean_accuracy_threshold": 6.300814628601074, | |
| "eval_VitaminC_euclidean_ap": 0.5255273000837065, | |
| "eval_VitaminC_euclidean_f1": 0.6472148541114058, | |
| "eval_VitaminC_euclidean_f1_threshold": 14.141785621643066, | |
| "eval_VitaminC_euclidean_precision": 0.48031496062992124, | |
| "eval_VitaminC_euclidean_recall": 0.991869918699187, | |
| "eval_VitaminC_manhattan_accuracy": 0.546875, | |
| "eval_VitaminC_manhattan_accuracy_threshold": 111.04672241210938, | |
| "eval_VitaminC_manhattan_ap": 0.5200203121459024, | |
| "eval_VitaminC_manhattan_f1": 0.6542553191489362, | |
| "eval_VitaminC_manhattan_f1_threshold": 232.8947296142578, | |
| "eval_VitaminC_manhattan_precision": 0.48616600790513836, | |
| "eval_VitaminC_manhattan_recall": 1.0, | |
| "eval_VitaminC_max_accuracy": 0.55078125, | |
| "eval_VitaminC_max_accuracy_threshold": 461.7385559082031, | |
| "eval_VitaminC_max_ap": 0.5266754197706615, | |
| "eval_VitaminC_max_f1": 0.6542553191489362, | |
| "eval_VitaminC_max_f1_threshold": 349.2696838378906, | |
| "eval_VitaminC_max_precision": 0.48616600790513836, | |
| "eval_VitaminC_max_recall": 1.0, | |
| "eval_sequential_score": 0.5266754197706615, | |
| "eval_sts-test_pearson_cosine": 0.05719150926706661, | |
| "eval_sts-test_pearson_dot": 0.2946717285740077, | |
| "eval_sts-test_pearson_euclidean": 0.05619658108650874, | |
| "eval_sts-test_pearson_manhattan": 0.07947531332122215, | |
| "eval_sts-test_pearson_max": 0.2946717285740077, | |
| "eval_sts-test_spearman_cosine": 0.11293393987132996, | |
| "eval_sts-test_spearman_dot": 0.3047454601059247, | |
| "eval_sts-test_spearman_euclidean": 0.07970793034154534, | |
| "eval_sts-test_spearman_manhattan": 0.09745056138447042, | |
| "eval_sts-test_spearman_max": 0.3047454601059247, | |
| "eval_vitaminc-pairs_loss": 2.715181589126587, | |
| "eval_vitaminc-pairs_runtime": 1.4378, | |
| "eval_vitaminc-pairs_samples_per_second": 75.113, | |
| "eval_vitaminc-pairs_steps_per_second": 1.391, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.29069767441860467, | |
| "eval_negation-triplets_loss": 5.137111186981201, | |
| "eval_negation-triplets_runtime": 0.296, | |
| "eval_negation-triplets_samples_per_second": 216.18, | |
| "eval_negation-triplets_steps_per_second": 3.378, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.29069767441860467, | |
| "eval_scitail-pairs-pos_loss": 2.0431957244873047, | |
| "eval_scitail-pairs-pos_runtime": 0.3627, | |
| "eval_scitail-pairs-pos_samples_per_second": 148.876, | |
| "eval_scitail-pairs-pos_steps_per_second": 2.757, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.29069767441860467, | |
| "eval_xsum-pairs_loss": 5.958922863006592, | |
| "eval_xsum-pairs_runtime": 3.4184, | |
| "eval_xsum-pairs_samples_per_second": 37.445, | |
| "eval_xsum-pairs_steps_per_second": 0.585, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.29069767441860467, | |
| "eval_sciq_pairs_loss": 0.3122929334640503, | |
| "eval_sciq_pairs_runtime": 3.4301, | |
| "eval_sciq_pairs_samples_per_second": 37.316, | |
| "eval_sciq_pairs_steps_per_second": 0.583, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.29069767441860467, | |
| "eval_qasc_pairs_loss": 3.0287587642669678, | |
| "eval_qasc_pairs_runtime": 0.6451, | |
| "eval_qasc_pairs_samples_per_second": 198.424, | |
| "eval_qasc_pairs_steps_per_second": 3.1, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.29069767441860467, | |
| "eval_openbookqa_pairs_loss": 4.213818073272705, | |
| "eval_openbookqa_pairs_runtime": 0.5726, | |
| "eval_openbookqa_pairs_samples_per_second": 223.54, | |
| "eval_openbookqa_pairs_steps_per_second": 3.493, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.29069767441860467, | |
| "eval_msmarco_pairs_loss": 6.443023204803467, | |
| "eval_msmarco_pairs_runtime": 1.2926, | |
| "eval_msmarco_pairs_samples_per_second": 99.023, | |
| "eval_msmarco_pairs_steps_per_second": 1.547, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.29069767441860467, | |
| "eval_nq_pairs_loss": 3.1351583003997803, | |
| "eval_nq_pairs_runtime": 2.579, | |
| "eval_nq_pairs_samples_per_second": 49.632, | |
| "eval_nq_pairs_steps_per_second": 0.776, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.29069767441860467, | |
| "eval_trivia_pairs_loss": 3.116779088973999, | |
| "eval_trivia_pairs_runtime": 4.3604, | |
| "eval_trivia_pairs_samples_per_second": 29.355, | |
| "eval_trivia_pairs_steps_per_second": 0.459, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.29069767441860467, | |
| "eval_gooaq_pairs_loss": 6.086311340332031, | |
| "eval_gooaq_pairs_runtime": 0.9098, | |
| "eval_gooaq_pairs_samples_per_second": 140.686, | |
| "eval_gooaq_pairs_steps_per_second": 2.198, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.29069767441860467, | |
| "eval_paws-pos_loss": 2.509471893310547, | |
| "eval_paws-pos_runtime": 0.6868, | |
| "eval_paws-pos_samples_per_second": 186.374, | |
| "eval_paws-pos_steps_per_second": 2.912, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.31976744186046513, | |
| "grad_norm": 8.210014343261719, | |
| "learning_rate": 3.6666666666666666e-05, | |
| "loss": 6.4394, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.3488372093023256, | |
| "grad_norm": 4.276110649108887, | |
| "learning_rate": 4e-05, | |
| "loss": 6.2215, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.3488372093023256, | |
| "eval_NLI-v2_cosine_accuracy": 1.0, | |
| "eval_NLI-v2_dot_accuracy": 0.125, | |
| "eval_NLI-v2_euclidean_accuracy": 1.0, | |
| "eval_NLI-v2_manhattan_accuracy": 1.0, | |
| "eval_NLI-v2_max_accuracy": 1.0, | |
| "eval_VitaminC_cosine_accuracy": 0.54296875, | |
| "eval_VitaminC_cosine_accuracy_threshold": 0.967127799987793, | |
| "eval_VitaminC_cosine_ap": 0.5255548283042585, | |
| "eval_VitaminC_cosine_f1": 0.648936170212766, | |
| "eval_VitaminC_cosine_f1_threshold": 0.8157126903533936, | |
| "eval_VitaminC_cosine_precision": 0.48221343873517786, | |
| "eval_VitaminC_cosine_recall": 0.991869918699187, | |
| "eval_VitaminC_dot_accuracy": 0.54296875, | |
| "eval_VitaminC_dot_accuracy_threshold": 494.9104309082031, | |
| "eval_VitaminC_dot_ap": 0.5147267697897451, | |
| "eval_VitaminC_dot_f1": 0.6525198938992042, | |
| "eval_VitaminC_dot_f1_threshold": 383.80987548828125, | |
| "eval_VitaminC_dot_precision": 0.484251968503937, | |
| "eval_VitaminC_dot_recall": 1.0, | |
| "eval_VitaminC_euclidean_accuracy": 0.546875, | |
| "eval_VitaminC_euclidean_accuracy_threshold": 5.804706573486328, | |
| "eval_VitaminC_euclidean_ap": 0.5251569661235761, | |
| "eval_VitaminC_euclidean_f1": 0.648936170212766, | |
| "eval_VitaminC_euclidean_f1_threshold": 13.634963035583496, | |
| "eval_VitaminC_euclidean_precision": 0.48221343873517786, | |
| "eval_VitaminC_euclidean_recall": 0.991869918699187, | |
| "eval_VitaminC_manhattan_accuracy": 0.55078125, | |
| "eval_VitaminC_manhattan_accuracy_threshold": 115.37125396728516, | |
| "eval_VitaminC_manhattan_ap": 0.5211715241173163, | |
| "eval_VitaminC_manhattan_f1": 0.6525198938992042, | |
| "eval_VitaminC_manhattan_f1_threshold": 222.44180297851562, | |
| "eval_VitaminC_manhattan_precision": 0.484251968503937, | |
| "eval_VitaminC_manhattan_recall": 1.0, | |
| "eval_VitaminC_max_accuracy": 0.55078125, | |
| "eval_VitaminC_max_accuracy_threshold": 494.9104309082031, | |
| "eval_VitaminC_max_ap": 0.5255548283042585, | |
| "eval_VitaminC_max_f1": 0.6525198938992042, | |
| "eval_VitaminC_max_f1_threshold": 383.80987548828125, | |
| "eval_VitaminC_max_precision": 0.484251968503937, | |
| "eval_VitaminC_max_recall": 1.0, | |
| "eval_sequential_score": 0.5255548283042585, | |
| "eval_sts-test_pearson_cosine": 0.07362980702318303, | |
| "eval_sts-test_pearson_dot": 0.2873931216538933, | |
| "eval_sts-test_pearson_euclidean": 0.0777294747568082, | |
| "eval_sts-test_pearson_manhattan": 0.09990133962066747, | |
| "eval_sts-test_pearson_max": 0.2873931216538933, | |
| "eval_sts-test_spearman_cosine": 0.1307277513542105, | |
| "eval_sts-test_spearman_dot": 0.29102261593628775, | |
| "eval_sts-test_spearman_euclidean": 0.10450013684970334, | |
| "eval_sts-test_spearman_manhattan": 0.1162952592302797, | |
| "eval_sts-test_spearman_max": 0.29102261593628775, | |
| "eval_vitaminc-pairs_loss": 2.7209765911102295, | |
| "eval_vitaminc-pairs_runtime": 1.4394, | |
| "eval_vitaminc-pairs_samples_per_second": 75.03, | |
| "eval_vitaminc-pairs_steps_per_second": 1.389, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.3488372093023256, | |
| "eval_negation-triplets_loss": 5.181106090545654, | |
| "eval_negation-triplets_runtime": 0.2954, | |
| "eval_negation-triplets_samples_per_second": 216.692, | |
| "eval_negation-triplets_steps_per_second": 3.386, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.3488372093023256, | |
| "eval_scitail-pairs-pos_loss": 2.0938117504119873, | |
| "eval_scitail-pairs-pos_runtime": 0.3664, | |
| "eval_scitail-pairs-pos_samples_per_second": 147.368, | |
| "eval_scitail-pairs-pos_steps_per_second": 2.729, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.3488372093023256, | |
| "eval_xsum-pairs_loss": 5.798585891723633, | |
| "eval_xsum-pairs_runtime": 3.4113, | |
| "eval_xsum-pairs_samples_per_second": 37.522, | |
| "eval_xsum-pairs_steps_per_second": 0.586, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.3488372093023256, | |
| "eval_sciq_pairs_loss": 0.30859243869781494, | |
| "eval_sciq_pairs_runtime": 3.4356, | |
| "eval_sciq_pairs_samples_per_second": 37.256, | |
| "eval_sciq_pairs_steps_per_second": 0.582, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.3488372093023256, | |
| "eval_qasc_pairs_loss": 2.919435739517212, | |
| "eval_qasc_pairs_runtime": 0.6393, | |
| "eval_qasc_pairs_samples_per_second": 200.207, | |
| "eval_qasc_pairs_steps_per_second": 3.128, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.3488372093023256, | |
| "eval_openbookqa_pairs_loss": 4.164936542510986, | |
| "eval_openbookqa_pairs_runtime": 0.5772, | |
| "eval_openbookqa_pairs_samples_per_second": 221.764, | |
| "eval_openbookqa_pairs_steps_per_second": 3.465, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.3488372093023256, | |
| "eval_msmarco_pairs_loss": 6.209752082824707, | |
| "eval_msmarco_pairs_runtime": 1.296, | |
| "eval_msmarco_pairs_samples_per_second": 98.767, | |
| "eval_msmarco_pairs_steps_per_second": 1.543, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.3488372093023256, | |
| "eval_nq_pairs_loss": 3.008612632751465, | |
| "eval_nq_pairs_runtime": 2.5746, | |
| "eval_nq_pairs_samples_per_second": 49.716, | |
| "eval_nq_pairs_steps_per_second": 0.777, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.3488372093023256, | |
| "eval_trivia_pairs_loss": 2.97579288482666, | |
| "eval_trivia_pairs_runtime": 4.3688, | |
| "eval_trivia_pairs_samples_per_second": 29.299, | |
| "eval_trivia_pairs_steps_per_second": 0.458, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.3488372093023256, | |
| "eval_gooaq_pairs_loss": 5.966132640838623, | |
| "eval_gooaq_pairs_runtime": 0.9077, | |
| "eval_gooaq_pairs_samples_per_second": 141.017, | |
| "eval_gooaq_pairs_steps_per_second": 2.203, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.3488372093023256, | |
| "eval_paws-pos_loss": 2.638349771499634, | |
| "eval_paws-pos_runtime": 0.6823, | |
| "eval_paws-pos_samples_per_second": 187.606, | |
| "eval_paws-pos_steps_per_second": 2.931, | |
| "step": 12 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 34, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 2, | |
| "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": 224, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |