End of training
Browse files- README.md +14 -2
- all_results.json +16 -0
- eval_results.json +10 -0
- logs/events.out.tfevents.1719936452.s_005_m.77188.1 +3 -0
- train_results.json +9 -0
- trainer_state.json +0 -0
README.md
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base_model: openai-community/gpt2
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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: gpt_train_12_128
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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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# gpt_train_12_128
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This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on
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It achieves the following results on the evaluation set:
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- Loss: 10.0781
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- Accuracy: 0.0781
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base_model: openai-community/gpt2
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tags:
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- generated_from_trainer
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datasets:
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- gokuls/wiki_book_corpus_raw_dataset_tiny
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metrics:
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- accuracy
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model-index:
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- name: gpt_train_12_128
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results:
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- task:
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name: Causal Language Modeling
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type: text-generation
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dataset:
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name: gokuls/wiki_book_corpus_raw_dataset_tiny
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type: gokuls/wiki_book_corpus_raw_dataset_tiny
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.07807518032045319
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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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# gpt_train_12_128
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This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the gokuls/wiki_book_corpus_raw_dataset_tiny dataset.
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It achieves the following results on the evaluation set:
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- Loss: 10.0781
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- Accuracy: 0.0781
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all_results.json
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{
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"epoch": 0.025573961057832027,
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"eval_accuracy": 0.07807518032045319,
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"eval_loss": 10.078125,
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"eval_runtime": 263.2075,
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"eval_samples": 33767,
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"eval_samples_per_second": 128.29,
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"eval_steps_per_second": 2.675,
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"perplexity": 23816.28811114398,
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"total_flos": 247015648788480.0,
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"train_loss": 10.390092329545455,
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"train_runtime": 94034.2968,
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"train_samples": 660643,
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"train_samples_per_second": 702.555,
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"train_steps_per_second": 14.637
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}
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eval_results.json
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{
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"epoch": 0.025573961057832027,
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"eval_accuracy": 0.07807518032045319,
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"eval_loss": 10.078125,
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"eval_runtime": 263.2075,
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"eval_samples": 33767,
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"eval_samples_per_second": 128.29,
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"eval_steps_per_second": 2.675,
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"perplexity": 23816.28811114398
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}
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logs/events.out.tfevents.1719936452.s_005_m.77188.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:a7156aa810215abe99cde784be3683644b2711b83b429da4f2adad674e057bbf
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size 363
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train_results.json
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{
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"epoch": 0.025573961057832027,
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"total_flos": 247015648788480.0,
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"train_loss": 10.390092329545455,
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"train_runtime": 94034.2968,
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"train_samples": 660643,
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"train_samples_per_second": 702.555,
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"train_steps_per_second": 14.637
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}
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trainer_state.json
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