End of training
Browse files- README.md +5 -0
- all_results.json +15 -0
- eval_results.json +10 -0
- runs/Mar16_02-59-16_13e96b604141/events.out.tfevents.1710558117.13e96b604141.184.1 +3 -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: mse30/bart-base-finetuned-pubmed
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tags:
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- generated_from_trainer
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model-index:
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- name: unipelt
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results: []
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@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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# unipelt
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This model is a fine-tuned version of [mse30/bart-base-finetuned-pubmed](https://huggingface.co/mse30/bart-base-finetuned-pubmed) on an unknown dataset.
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## Model description
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base_model: mse30/bart-base-finetuned-pubmed
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: unipelt
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results: []
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# unipelt
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This model is a fine-tuned version of [mse30/bart-base-finetuned-pubmed](https://huggingface.co/mse30/bart-base-finetuned-pubmed) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.9564
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- Accuracy: 0.0717
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## Model description
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all_results.json
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{
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"epoch": 1.0,
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"eval_accuracy": 0.07172961582104069,
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"eval_loss": 6.956445693969727,
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"eval_runtime": 6.9931,
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"eval_samples": 83,
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"eval_samples_per_second": 11.869,
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"eval_steps_per_second": 3.003,
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"perplexity": 1049.8952685825889,
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"train_loss": 7.74941173735119,
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"train_runtime": 119.1698,
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"train_samples": 417,
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"train_samples_per_second": 3.499,
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"train_steps_per_second": 0.881
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}
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eval_results.json
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{
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"epoch": 1.0,
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"eval_accuracy": 0.07172961582104069,
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"eval_loss": 6.956445693969727,
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"eval_runtime": 6.9931,
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"eval_samples": 83,
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"eval_samples_per_second": 11.869,
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"eval_steps_per_second": 3.003,
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"perplexity": 1049.8952685825889
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}
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runs/Mar16_02-59-16_13e96b604141/events.out.tfevents.1710558117.13e96b604141.184.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:27369afa628923e39faca6e89be39cbe00bb213bdc67be47cb04ee27cd7630f7
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size 405
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train_results.json
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{
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"epoch": 1.0,
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"train_loss": 7.74941173735119,
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"train_runtime": 119.1698,
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"train_samples": 417,
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"train_samples_per_second": 3.499,
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"train_steps_per_second": 0.881
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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": 1.0,
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"eval_steps": 500,
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"global_step": 105,
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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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"step": 105,
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"total_flos": 356260014747648.0,
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"train_loss": 7.74941173735119,
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"train_runtime": 119.1698,
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"train_samples_per_second": 3.499,
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"train_steps_per_second": 0.881
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}
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],
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"logging_steps": 500,
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"max_steps": 105,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 1,
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"save_steps": 1000,
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"total_flos": 356260014747648.0,
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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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