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harrisr-smu
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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 +7 -7
  2. model.safetensors +1 -1
  3. runs/Apr23_01-32-54_2e24b0ee9d48/events.out.tfevents.1713836029.2e24b0ee9d48.45752.0 +2 -2
  4. runs/Apr23_01-32-54_2e24b0ee9d48/events.out.tfevents.1713842810.2e24b0ee9d48.45752.1 +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: 0.8517
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- - Matthews Correlation: 0.5189
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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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- | 0.5209 | 1.0 | 535 | 0.4660 | 0.4528 |
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- | 0.3483 | 2.0 | 1070 | 0.4798 | 0.4913 |
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- | 0.2423 | 3.0 | 1605 | 0.6401 | 0.5126 |
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- | 0.1747 | 4.0 | 2140 | 0.7881 | 0.5065 |
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- | 0.1326 | 5.0 | 2675 | 0.8517 | 0.5189 |
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  ### Framework versions
 
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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: 0.6359
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+ - Matthews Correlation: 0.5298
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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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+ | 0.5237 | 1.0 | 535 | 0.4755 | 0.4358 |
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+ | 0.3503 | 2.0 | 1070 | 0.4684 | 0.4984 |
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+ | 0.2423 | 3.0 | 1605 | 0.6359 | 0.5298 |
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+ | 0.1824 | 4.0 | 2140 | 0.7712 | 0.5070 |
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+ | 0.1311 | 5.0 | 2675 | 0.8527 | 0.5265 |
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  ### Framework versions
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