Jeremiah Zhou commited on
Commit ·
a64de90
1
Parent(s): 18c7aff
End of training
Browse files- all_results.json +16 -0
- eval_results.json +11 -0
- runs/Jun21_14-51-58_mewtwo/events.out.tfevents.1655823707.mewtwo +3 -0
- train_results.json +8 -0
- trainer_state.json +64 -0
all_results.json
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{
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"epoch": 3.0,
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"eval_combined_score": 0.8859105179324802,
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"eval_loss": 0.5143781900405884,
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"eval_pearson": 0.887504063385115,
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"eval_runtime": 6.6344,
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"eval_samples": 1500,
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"eval_samples_per_second": 226.095,
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"eval_spearmanr": 0.8843169724798454,
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"eval_steps_per_second": 28.337,
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"train_loss": 0.7539703951941596,
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"train_runtime": 279.0486,
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"train_samples": 5749,
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"train_samples_per_second": 61.806,
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"train_steps_per_second": 1.935
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}
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eval_results.json
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{
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"epoch": 3.0,
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"eval_combined_score": 0.8859105179324802,
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"eval_loss": 0.5143781900405884,
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"eval_pearson": 0.887504063385115,
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"eval_runtime": 6.6344,
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"eval_samples": 1500,
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"eval_samples_per_second": 226.095,
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| 9 |
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"eval_spearmanr": 0.8843169724798454,
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"eval_steps_per_second": 28.337
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}
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runs/Jun21_14-51-58_mewtwo/events.out.tfevents.1655823707.mewtwo
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version https://git-lfs.github.com/spec/v1
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oid sha256:7655044496d222bba858d9720949cc887cee328f703570a1c2a45edb35aebde6
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size 40
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train_results.json
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{
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"epoch": 3.0,
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"train_loss": 0.7539703951941596,
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"train_runtime": 279.0486,
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"train_samples": 5749,
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"train_samples_per_second": 61.806,
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"train_steps_per_second": 1.935
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}
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trainer_state.json
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{
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"best_metric": 0.8843169724798454,
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"best_model_checkpoint": "./fine-tune/bert-base-uncased/stsb/checkpoint-540",
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"epoch": 3.0,
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"global_step": 540,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 1.0,
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"eval_combined_score": 0.8770512336585177,
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"eval_loss": 0.517871081829071,
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"eval_pearson": 0.8805737478242902,
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"eval_runtime": 6.6982,
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"eval_samples_per_second": 223.94,
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"eval_spearmanr": 0.873528719492745,
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"eval_steps_per_second": 28.067,
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"step": 180
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},
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{
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"epoch": 2.0,
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"eval_combined_score": 0.8834893774364951,
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"eval_loss": 0.5145099759101868,
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"eval_pearson": 0.8850209566170038,
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"eval_runtime": 6.9391,
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"eval_samples_per_second": 216.167,
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"eval_spearmanr": 0.8819577982559864,
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"eval_steps_per_second": 27.093,
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"step": 360
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},
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{
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"epoch": 2.78,
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"learning_rate": 1.4814814814814815e-06,
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"loss": 0.7868,
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"step": 500
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},
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{
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"epoch": 3.0,
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"eval_combined_score": 0.8859105179324802,
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"eval_loss": 0.5143781900405884,
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"eval_pearson": 0.887504063385115,
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"eval_runtime": 7.1241,
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"eval_samples_per_second": 210.554,
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"eval_spearmanr": 0.8843169724798454,
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"eval_steps_per_second": 26.389,
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"step": 540
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},
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{
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"epoch": 3.0,
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"step": 540,
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"total_flos": 1134458907008256.0,
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"train_loss": 0.7539703951941596,
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}
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],
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"max_steps": 540,
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"num_train_epochs": 3,
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"trial_name": null,
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"trial_params": null
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}
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