| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: distilbert-base-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - matthews_correlation |
| model-index: |
| - name: myFirstModel |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # myFirstModel |
|
|
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.8408 |
| - Matthews Correlation: 0.5440 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | |
| |:-------------:|:-----:|:----:|:---------------:|:--------------------:| |
| | 0.5181 | 1.0 | 535 | 0.4517 | 0.4731 | |
| | 0.3490 | 2.0 | 1070 | 0.4767 | 0.5459 | |
| | 0.2327 | 3.0 | 1605 | 0.6519 | 0.5210 | |
| | 0.1699 | 4.0 | 2140 | 0.7830 | 0.5423 | |
| | 0.1243 | 5.0 | 2675 | 0.8408 | 0.5440 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.5.4 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 2.21.0 |
| - Tokenizers 0.22.2 |
| |
