gokuls commited on
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c6cb101
1 Parent(s): 6854e9e

End of training

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Files changed (5) hide show
  1. README.md +16 -4
  2. all_results.json +15 -0
  3. eval_results.json +10 -0
  4. train_results.json +8 -0
  5. trainer_state.json +0 -0
README.md CHANGED
@@ -1,11 +1,23 @@
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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_L12_H128_A2
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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
@@ -13,10 +25,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # HBERTv1_emb_compress_48_L12_H128_A2
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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: 6.2081
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- - Accuracy: 0.1442
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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_L12_H128_A2
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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: 0.14404758839681311
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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_L12_H128_A2
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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: 6.2072
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+ - Accuracy: 0.1440
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  ## Model description
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all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 5.0,
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+ "eval_accuracy": 0.14404758839681311,
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+ "eval_loss": 6.207187175750732,
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+ "eval_runtime": 588.3782,
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+ "eval_samples": 308356,
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+ "eval_samples_per_second": 524.078,
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+ "eval_steps_per_second": 6.552,
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+ "perplexity": 496.3032721947735,
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+ "train_loss": 6.42426091480444,
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+ "train_runtime": 140876.5877,
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+ "train_samples": 5858758,
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+ "train_samples_per_second": 207.939,
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+ "train_steps_per_second": 2.599
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+ }
eval_results.json ADDED
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+ {
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+ "epoch": 5.0,
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+ "eval_accuracy": 0.14404758839681311,
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+ "eval_loss": 6.207187175750732,
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+ "eval_runtime": 588.3782,
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+ "eval_samples": 308356,
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+ "eval_samples_per_second": 524.078,
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+ "eval_steps_per_second": 6.552,
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+ "perplexity": 496.3032721947735
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+ }
train_results.json ADDED
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+ {
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+ "epoch": 5.0,
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+ "train_loss": 6.42426091480444,
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+ "train_runtime": 140876.5877,
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+ "train_samples": 5858758,
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+ "train_samples_per_second": 207.939,
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+ "train_steps_per_second": 2.599
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+ }
trainer_state.json ADDED
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