gokuls commited on
Commit
9a5f527
1 Parent(s): 3bf009f

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_L10_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_L10_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: 6.2130
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- - Accuracy: 0.1439
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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_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: 0.14372973477498716
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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_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: 6.2119
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+ - Accuracy: 0.1437
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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": 0.14372973477498716,
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+ "eval_loss": 6.211923599243164,
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+ "eval_runtime": 591.8335,
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+ "eval_samples": 308356,
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+ "eval_samples_per_second": 521.018,
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+ "eval_steps_per_second": 6.514,
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+ "perplexity": 498.65955043336646,
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+ "train_loss": 6.426997217993659,
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+ "train_runtime": 130490.9707,
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+ "train_samples": 5858758,
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+ "train_samples_per_second": 224.489,
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+ "train_steps_per_second": 2.806
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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": 0.14372973477498716,
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+ "eval_loss": 6.211923599243164,
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+ "eval_runtime": 591.8335,
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+ "eval_samples": 308356,
7
+ "eval_samples_per_second": 521.018,
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+ "eval_steps_per_second": 6.514,
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+ "perplexity": 498.65955043336646
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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": 6.426997217993659,
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+ "train_runtime": 130490.9707,
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+ "train_samples": 5858758,
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+ "train_samples_per_second": 224.489,
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+ "train_steps_per_second": 2.806
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+ }
trainer_state.json ADDED
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