End of training
Browse files- README.md +3 -1
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +30 -0
README.md
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@@ -3,6 +3,8 @@ license: apache-2.0
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base_model: google-t5/t5-small
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tags:
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- generated_from_trainer
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model-index:
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- name: pep_summarization
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results: []
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@@ -13,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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# pep_summarization
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-
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on
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## Model description
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base_model: google-t5/t5-small
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tags:
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- generated_from_trainer
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datasets:
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- fedora-copr/pep-sum
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model-index:
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- name: pep_summarization
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results: []
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# pep_summarization
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the fedora-copr/pep-sum dataset.
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## Model description
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all_results.json
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{
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"epoch": 3.0,
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"train_loss": 0.41447729351876794,
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"train_runtime": 15.2738,
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"train_samples": 345,
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"train_samples_per_second": 67.763,
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"train_steps_per_second": 17.088
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}
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train_results.json
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{
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"epoch": 3.0,
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"train_loss": 0.41447729351876794,
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"train_runtime": 15.2738,
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"train_samples": 345,
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"train_samples_per_second": 67.763,
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"train_steps_per_second": 17.088
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}
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trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 3.0,
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"eval_steps": 500,
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"global_step": 261,
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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": 3.0,
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"step": 261,
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"total_flos": 280157529047040.0,
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"train_loss": 0.41447729351876794,
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"train_runtime": 15.2738,
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"train_samples_per_second": 67.763,
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"train_steps_per_second": 17.088
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}
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],
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"logging_steps": 500,
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"max_steps": 261,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 3,
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"save_steps": 500,
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"total_flos": 280157529047040.0,
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"train_batch_size": 4,
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"trial_name": null,
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"trial_params": null
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}
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