End of training
Browse files- README.md +14 -2
- all_results.json +13 -13
- eval_results.json +9 -9
- train_results.json +4 -4
- trainer_state.json +49 -49
README.md
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base_model: google-t5/t5-base
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: pep_summarization
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results:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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@@ -15,7 +27,7 @@ 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-base](https://huggingface.co/google-t5/t5-base) on
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It achieves the following results on the evaluation set:
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- Loss: 0.9288
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- Rouge1: 39.7591
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base_model: google-t5/t5-base
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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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metrics:
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- rouge
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model-index:
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- name: pep_summarization
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results:
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- task:
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name: Summarization
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type: summarization
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dataset:
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name: fedora-copr/pep-sum
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type: fedora-copr/pep-sum
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metrics:
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- name: Rouge1
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type: rouge
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value: 39.7591
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# pep_summarization
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This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on the fedora-copr/pep-sum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9288
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- Rouge1: 39.7591
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all_results.json
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{
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"epoch": 5.0,
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"eval_gen_len":
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"eval_rouge1":
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"eval_rouge2":
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"eval_rougeL":
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"eval_rougeLsum":
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"eval_runtime": 9.
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"eval_samples": 69,
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"eval_samples_per_second": 7.
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"eval_steps_per_second": 1.
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"train_loss": 0.
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"eval_rouge2": 24.1983,
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"train_loss": 0.8950336843297102,
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"train_steps_per_second": 3.018
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eval_results.json
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"eval_samples_per_second": 7.034,
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"eval_steps_per_second": 1.835
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train_results.json
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{
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"epoch": 5.0,
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"train_loss": 0.
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trainer_state.json
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