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End of training

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README.md CHANGED
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  library_name: transformers
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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: bert_base_lda_100_v1_book
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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
@@ -14,10 +26,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # bert_base_lda_100_v1_book
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- This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.4753
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- - Accuracy: 0.7550
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  ## Model description
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  library_name: transformers
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  tags:
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  - generated_from_trainer
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+ datasets:
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+ - gokulsrinivasagan/processed_book_corpus-ld-100
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  metrics:
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  - accuracy
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  model-index:
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  - name: bert_base_lda_100_v1_book
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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: gokulsrinivasagan/processed_book_corpus-ld-100
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+ type: gokulsrinivasagan/processed_book_corpus-ld-100
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.7551218228545009
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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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  # bert_base_lda_100_v1_book
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+ This model is a fine-tuned version of [](https://huggingface.co/) on the gokulsrinivasagan/processed_book_corpus-ld-100 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 4.4757
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+ - Accuracy: 0.7551
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  ## Model description
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all_results.json ADDED
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+ {
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eval_results.json ADDED
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+ {
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+ "perplexity": 87.85405865517882
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+ }
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train_results.json ADDED
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+ {
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trainer_state.json ADDED
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