| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: distilbert/distilbert-base-uncased |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: dbert-review-classification |
| | 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. --> |
| |
|
| | # dbert-review-classification |
| |
|
| | This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.3117 |
| | - Accuracy: 0.5217 |
| | - Mse: 1.1363 |
| |
|
| | ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 15 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | Mse | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | | No log | 1.0 | 438 | 1.1416 | 0.5107 | 1.2943 | |
| | | 1.2437 | 2.0 | 876 | 1.1698 | 0.5047 | 1.3863 | |
| | | 0.9888 | 3.0 | 1314 | 1.1890 | 0.515 | 1.2217 | |
| | | 0.787 | 4.0 | 1752 | 1.3117 | 0.5217 | 1.1363 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.44.2 |
| | - Pytorch 2.5.0+cu121 |
| | - Datasets 3.0.2 |
| | - Tokenizers 0.19.1 |
| |
|
