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shivamklr
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distilbert-base-uncased-finetuned-cola

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
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End of training

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  1. README.md +12 -12
  2. model.safetensors +1 -1
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: 0.7886
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- - Matthews Correlation: 0.5902
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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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- | 0.5231 | 1.0 | 535 | 0.4681 | 0.4638 |
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- | 0.3424 | 2.0 | 1070 | 0.4702 | 0.5580 |
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- | 0.2355 | 3.0 | 1605 | 0.6132 | 0.5423 |
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- | 0.1724 | 4.0 | 2140 | 0.7329 | 0.5774 |
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- | 0.1244 | 5.0 | 2675 | 0.7886 | 0.5902 |
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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: 0.7867
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+ - Matthews Correlation: 0.5312
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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: 1.2364553135564726e-05
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+ - train_batch_size: 4
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  - eval_batch_size: 16
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+ - seed: 5
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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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+ | 0.5405 | 1.0 | 2138 | 0.6268 | 0.4122 |
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+ | 0.485 | 2.0 | 4276 | 0.7867 | 0.5312 |
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+ | 0.3086 | 3.0 | 6414 | 0.9165 | 0.5238 |
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+ | 0.2457 | 4.0 | 8552 | 1.0430 | 0.5136 |
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+ | 0.2357 | 5.0 | 10690 | 1.1299 | 0.5252 |
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  ### Framework versions
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