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distilbert-base-uncased-finetuned-cola

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End of training

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  1. README.md +7 -10
  2. model.safetensors +1 -1
  3. runs/Sep26_13-34-33_f266a1036e13/events.out.tfevents.1727359758.f266a1036e13.258.12 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ 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: 0.7916
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- - Matthews Correlation: 0.5309
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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- - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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- | 0.519 | 1.0 | 535 | 0.4526 | 0.4348 |
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- | 0.344 | 2.0 | 1070 | 0.4732 | 0.4945 |
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- | 0.2344 | 3.0 | 1605 | 0.6461 | 0.5073 |
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- | 0.1778 | 4.0 | 2140 | 0.7916 | 0.5309 |
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- | 0.1301 | 5.0 | 2675 | 0.8300 | 0.5288 |
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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: 0.5023
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+ - Matthews Correlation: 0.4819
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1.835609128853824e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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+ - seed: 15
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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+ | 0.5241 | 1.0 | 535 | 0.4830 | 0.4603 |
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+ | 0.3568 | 2.0 | 1070 | 0.5023 | 0.4819 |
 
 
 
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  ### Framework versions
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