| { | |
| "best_metric": 0.2252955436706543, | |
| "best_model_checkpoint": "longformer-spans/checkpoint-162", | |
| "epoch": 6.0, | |
| "eval_steps": 500, | |
| "global_step": 486, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_B": { | |
| "f1-score": 0.816, | |
| "precision": 0.7461594732991953, | |
| "recall": 0.9002647837599294, | |
| "support": 1133.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9321376763813793, | |
| "precision": 0.9024103768767235, | |
| "recall": 0.9638902525500463, | |
| "support": 18333.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.8560784528570645, | |
| "precision": 0.931782945736434, | |
| "recall": 0.7917511147142278, | |
| "support": 9868.0 | |
| }, | |
| "eval_accuracy": 0.9035249198881844, | |
| "eval_loss": 0.2619660496711731, | |
| "eval_macro avg": { | |
| "f1-score": 0.8680720430794812, | |
| "precision": 0.860117598637451, | |
| "recall": 0.8853020503414012, | |
| "support": 29334.0 | |
| }, | |
| "eval_runtime": 5.5032, | |
| "eval_samples_per_second": 14.537, | |
| "eval_steps_per_second": 1.817, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9020655278480035, | |
| "precision": 0.9062562975065145, | |
| "recall": 0.9035249198881844, | |
| "support": 29334.0 | |
| }, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_B": { | |
| "f1-score": 0.8512256973795435, | |
| "precision": 0.8167072181670721, | |
| "recall": 0.8887908208296558, | |
| "support": 1133.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9416781438711729, | |
| "precision": 0.9152551099212274, | |
| "recall": 0.9696721758577429, | |
| "support": 18333.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.8778173190984578, | |
| "precision": 0.9380041484212952, | |
| "recall": 0.8248885285772193, | |
| "support": 9868.0 | |
| }, | |
| "eval_accuracy": 0.9178427763005387, | |
| "eval_loss": 0.2252955436706543, | |
| "eval_macro avg": { | |
| "f1-score": 0.8902403867830581, | |
| "precision": 0.8899888255031981, | |
| "recall": 0.8944505084215394, | |
| "support": 29334.0 | |
| }, | |
| "eval_runtime": 5.4972, | |
| "eval_samples_per_second": 14.553, | |
| "eval_steps_per_second": 1.819, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9167016237671239, | |
| "precision": 0.9191015935430046, | |
| "recall": 0.9178427763005387, | |
| "support": 29334.0 | |
| }, | |
| "step": 162 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_B": { | |
| "f1-score": 0.8531120331950207, | |
| "precision": 0.8050117462803446, | |
| "recall": 0.9073256840247131, | |
| "support": 1133.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9469915571230095, | |
| "precision": 0.9280963603037444, | |
| "recall": 0.9666721213112965, | |
| "support": 18333.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.8903876792352629, | |
| "precision": 0.9353938852934612, | |
| "recall": 0.8495135792460479, | |
| "support": 9868.0 | |
| }, | |
| "eval_accuracy": 0.9249676143724006, | |
| "eval_loss": 0.22786012291908264, | |
| "eval_macro avg": { | |
| "f1-score": 0.8968304231844311, | |
| "precision": 0.8895006639591835, | |
| "recall": 0.9078371281940192, | |
| "support": 29334.0 | |
| }, | |
| "eval_runtime": 5.5036, | |
| "eval_samples_per_second": 14.536, | |
| "eval_steps_per_second": 1.817, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9243239165827936, | |
| "precision": 0.9257972230878861, | |
| "recall": 0.9249676143724006, | |
| "support": 29334.0 | |
| }, | |
| "step": 243 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_B": { | |
| "f1-score": 0.8567807351077312, | |
| "precision": 0.8217179902755267, | |
| "recall": 0.8949691085613416, | |
| "support": 1133.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9472597903427299, | |
| "precision": 0.9432635621180161, | |
| "recall": 0.9512900234549719, | |
| "support": 18333.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.8979927100980543, | |
| "precision": 0.9099989595255437, | |
| "recall": 0.8862991487636805, | |
| "support": 9868.0 | |
| }, | |
| "eval_accuracy": 0.9272516533715143, | |
| "eval_loss": 0.23897655308246613, | |
| "eval_macro avg": { | |
| "f1-score": 0.9006777451828384, | |
| "precision": 0.8916601706396955, | |
| "recall": 0.910852760259998, | |
| "support": 29334.0 | |
| }, | |
| "eval_runtime": 5.4904, | |
| "eval_samples_per_second": 14.571, | |
| "eval_steps_per_second": 1.821, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9271915992526735, | |
| "precision": 0.9273787107073643, | |
| "recall": 0.9272516533715143, | |
| "support": 29334.0 | |
| }, | |
| "step": 324 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_B": { | |
| "f1-score": 0.8624407072013798, | |
| "precision": 0.8431703204047217, | |
| "recall": 0.8826125330979699, | |
| "support": 1133.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.948190701170407, | |
| "precision": 0.9335059992600032, | |
| "recall": 0.9633447880870561, | |
| "support": 18333.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.8955333298423835, | |
| "precision": 0.9265359193845487, | |
| "recall": 0.8665383056343737, | |
| "support": 9868.0 | |
| }, | |
| "eval_accuracy": 0.9276607349832958, | |
| "eval_loss": 0.25390708446502686, | |
| "eval_macro avg": { | |
| "f1-score": 0.9020549127380568, | |
| "precision": 0.9010707463497579, | |
| "recall": 0.9041652089397999, | |
| "support": 29334.0 | |
| }, | |
| "eval_runtime": 5.4919, | |
| "eval_samples_per_second": 14.567, | |
| "eval_steps_per_second": 1.821, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9271646670996412, | |
| "precision": 0.9276721180179627, | |
| "recall": 0.9276607349832958, | |
| "support": 29334.0 | |
| }, | |
| "step": 405 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_B": { | |
| "f1-score": 0.8601036269430052, | |
| "precision": 0.841927303465765, | |
| "recall": 0.8790820829655781, | |
| "support": 1133.0 | |
| }, | |
| "eval_I": { | |
| "f1-score": 0.9474285714285714, | |
| "precision": 0.9452679589509693, | |
| "recall": 0.9495990836197021, | |
| "support": 18333.0 | |
| }, | |
| "eval_O": { | |
| "f1-score": 0.8983777165595348, | |
| "precision": 0.9045613314156564, | |
| "recall": 0.8922780705310093, | |
| "support": 9868.0 | |
| }, | |
| "eval_accuracy": 0.9275925547146656, | |
| "eval_loss": 0.29299432039260864, | |
| "eval_macro avg": { | |
| "f1-score": 0.9019699716437038, | |
| "precision": 0.8972521979441302, | |
| "recall": 0.9069864123720964, | |
| "support": 29334.0 | |
| }, | |
| "eval_runtime": 5.4971, | |
| "eval_samples_per_second": 14.553, | |
| "eval_steps_per_second": 1.819, | |
| "eval_weighted avg": { | |
| "f1-score": 0.9275549436263691, | |
| "precision": 0.9275827485063247, | |
| "recall": 0.9275925547146656, | |
| "support": 29334.0 | |
| }, | |
| "step": 486 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 1620, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 20, | |
| "save_steps": 500, | |
| "total_flos": 862719916413600.0, | |
| "train_batch_size": 4, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |