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distilbert-base-uncased-finetuned-cola

Text Classification
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distilbert
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End of training

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  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/Jan13_15-36-30_ec6cb13cf210/events.out.tfevents.1705160191.ec6cb13cf210.5098.0 +2 -2
  4. runs/Jan13_15-36-30_ec6cb13cf210/events.out.tfevents.1705166315.ec6cb13cf210.5098.1 +3 -0
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.8175
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- - Matthews Correlation: 0.5370
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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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- | 0.5266 | 1.0 | 535 | 0.4721 | 0.4559 |
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- | 0.3562 | 2.0 | 1070 | 0.5916 | 0.4358 |
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- | 0.2416 | 3.0 | 1605 | 0.6296 | 0.5182 |
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- | 0.1692 | 4.0 | 2140 | 0.7156 | 0.5330 |
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- | 0.1217 | 5.0 | 2675 | 0.8175 | 0.5370 |
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  ### Framework versions
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- - Transformers 4.36.2
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- - Pytorch 2.1.2+cpu
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  - Datasets 2.16.1
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  - Tokenizers 0.15.0
 
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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: 0.6314
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+ - Matthews Correlation: 0.5314
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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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+ | 0.5228 | 1.0 | 535 | 0.4730 | 0.4430 |
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+ | 0.346 | 2.0 | 1070 | 0.5733 | 0.4414 |
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+ | 0.241 | 3.0 | 1605 | 0.6314 | 0.5314 |
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+ | 0.1678 | 4.0 | 2140 | 0.7194 | 0.5265 |
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+ | 0.1208 | 5.0 | 2675 | 0.8257 | 0.5268 |
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  ### Framework versions
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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  - Datasets 2.16.1
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  - Tokenizers 0.15.0
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