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End of training

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Files changed (5) hide show
  1. README.md +16 -4
  2. all_results.json +10 -10
  3. eval_results.json +6 -6
  4. train_results.json +4 -4
  5. trainer_state.json +268 -268
README.md CHANGED
@@ -2,11 +2,23 @@
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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_km_20_v2
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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_km_20_v2
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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: 6.6477
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- - Accuracy: 0.1524
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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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+ - Hartunka/processed_wikitext-103-raw-v1-km-20_v2
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  metrics:
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  - accuracy
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  model-index:
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  - name: bert_base_km_20_v2
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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: Hartunka/processed_wikitext-103-raw-v1-km-20_v2
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+ type: Hartunka/processed_wikitext-103-raw-v1-km-20_v2
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.15383963383624344
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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_km_20_v2
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+ This model is a fine-tuned version of [](https://huggingface.co/) on the Hartunka/processed_wikitext-103-raw-v1-km-20_v2 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 6.4338
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+ - Accuracy: 0.1538
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  ## Model description
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