End of training
Browse files- README.md +15 -3
- all_results.json +15 -0
- eval_results.json +10 -0
- train_results.json +8 -0
- trainer_state.json +0 -0
README.md
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---
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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: HBERTv1_emb_compress_48_L10_H256_A4
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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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@@ -13,9 +25,9 @@ should probably proofread and complete it, then remove this comment. -->
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# HBERTv1_emb_compress_48_L10_H256_A4
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This model is a fine-tuned version of [](https://huggingface.co/) on
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It achieves the following results on the evaluation set:
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- Loss: 6.
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- Accuracy: 0.1509
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## Model description
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---
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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_complete_processed_bert_dataset
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metrics:
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- accuracy
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model-index:
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- name: HBERTv1_emb_compress_48_L10_H256_A4
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results:
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- task:
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name: Masked Language Modeling
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type: fill-mask
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dataset:
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name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
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type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.15093352306316574
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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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# HBERTv1_emb_compress_48_L10_H256_A4
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This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.0495
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- Accuracy: 0.1509
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## Model description
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all_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.15093352306316574,
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"eval_loss": 6.049524307250977,
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"eval_runtime": 766.2857,
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"eval_samples": 308356,
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"eval_samples_per_second": 402.403,
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"eval_steps_per_second": 6.289,
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"perplexity": 423.9113305289076,
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"train_loss": 6.211948149485322,
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"train_runtime": 192213.636,
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"train_samples": 5858758,
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"train_samples_per_second": 152.402,
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"train_steps_per_second": 2.381
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}
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eval_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.15093352306316574,
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"eval_loss": 6.049524307250977,
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"eval_runtime": 766.2857,
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"eval_samples": 308356,
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"eval_samples_per_second": 402.403,
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"eval_steps_per_second": 6.289,
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"perplexity": 423.9113305289076
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}
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train_results.json
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{
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"epoch": 5.0,
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"train_loss": 6.211948149485322,
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"train_runtime": 192213.636,
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"train_samples": 5858758,
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"train_samples_per_second": 152.402,
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"train_steps_per_second": 2.381
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}
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trainer_state.json
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