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End of training

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  1. README.md +3 -3
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 1.0
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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
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the discord-crypto dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5311
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- - Accuracy: 1.0
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  ## Model description
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.6666666666666666
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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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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the discord-crypto dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7261
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+ - Accuracy: 0.6667
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  ## Model description
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