Chungyeh commited on
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1 Parent(s): d570bfb

End of training

Browse files
README.md CHANGED
@@ -6,19 +6,19 @@ tags:
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  metrics:
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  - matthews_correlation
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  model-index:
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- - name: distilbert-base-uncased-finetuned-cola
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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
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  should probably proofread and complete it, then remove this comment. -->
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- # distilbert-base-uncased-finetuned-cola
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8610
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- - Matthews Correlation: 0.5341
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  ## Model description
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@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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- | 0.5211 | 1.0 | 535 | 0.4572 | 0.4467 |
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- | 0.3499 | 2.0 | 1070 | 0.4642 | 0.5215 |
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- | 0.2388 | 3.0 | 1605 | 0.6811 | 0.4999 |
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- | 0.1668 | 4.0 | 2140 | 0.7890 | 0.5062 |
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- | 0.126 | 5.0 | 2675 | 0.8610 | 0.5341 |
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  ### Framework versions
 
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  metrics:
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  - matthews_correlation
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  model-index:
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+ - name: LLM_B_HW001
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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
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  should probably proofread and complete it, then remove this comment. -->
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+ # LLM_B_HW001
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1329
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+ - Matthews Correlation: 0.5260
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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+ | 0.1384 | 1.0 | 535 | 0.7629 | 0.5118 |
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+ | 0.1026 | 2.0 | 1070 | 1.0638 | 0.5058 |
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+ | 0.0661 | 3.0 | 1605 | 1.1329 | 0.5260 |
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+ | 0.0492 | 4.0 | 2140 | 1.2943 | 0.5174 |
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+ | 0.0394 | 5.0 | 2675 | 1.3559 | 0.5060 |
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  ### Framework versions
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