End of training
Browse files- README.md +5 -0
- all_results.json +10 -10
- eval_results.json +6 -6
- runs/Mar16_05-01-41_a9d94578355a/events.out.tfevents.1710565420.a9d94578355a.97.1 +3 -0
- train_results.json +4 -4
- trainer_state.json +6 -6
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: 9.5256
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- Accuracy: 0.0167
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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.
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"eval_loss": 9.
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"eval_runtime":
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"eval_samples": 83,
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"eval_samples_per_second":
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"eval_steps_per_second": 3.
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"perplexity":
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"train_loss":
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"train_runtime":
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"train_samples": 417,
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"train_samples_per_second":
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"train_steps_per_second": 1.
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}
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{
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"epoch": 1.0,
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"eval_accuracy": 0.016696385151564273,
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"eval_loss": 9.525640487670898,
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"eval_runtime": 5.4393,
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"eval_samples": 83,
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"eval_samples_per_second": 15.259,
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"eval_steps_per_second": 3.861,
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"perplexity": 13706.706089974567,
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"train_loss": 11.196719215029763,
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"train_runtime": 76.334,
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"train_samples": 417,
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"train_samples_per_second": 5.463,
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"train_steps_per_second": 1.376
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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.
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"eval_loss": 9.
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"eval_runtime":
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"eval_samples": 83,
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"eval_samples_per_second":
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"eval_steps_per_second": 3.
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"perplexity":
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}
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{
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"epoch": 1.0,
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"eval_accuracy": 0.016696385151564273,
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"eval_loss": 9.525640487670898,
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"eval_runtime": 5.4393,
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"eval_samples": 83,
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"eval_samples_per_second": 15.259,
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"eval_steps_per_second": 3.861,
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"perplexity": 13706.706089974567
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}
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runs/Mar16_05-01-41_a9d94578355a/events.out.tfevents.1710565420.a9d94578355a.97.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:5e30d7adf1b51cf2e9324b1f50c21d33bb14d677219731689294c723d9dba85c
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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":
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"train_runtime":
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"train_samples": 417,
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"train_samples_per_second":
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"train_steps_per_second": 1.
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}
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{
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"epoch": 1.0,
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"train_loss": 11.196719215029763,
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"train_runtime": 76.334,
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"train_samples": 417,
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"train_samples_per_second": 5.463,
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"train_steps_per_second": 1.376
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}
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trainer_state.json
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{
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"epoch": 1.0,
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"step": 105,
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"total_flos":
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"train_loss":
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"logging_steps": 500,
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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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"train_loss": 11.196719215029763,
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"train_runtime": 76.334,
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"train_samples_per_second": 5.463,
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"logging_steps": 500,
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"num_input_tokens_seen": 0,
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