| --- |
| license: apache-2.0 |
| base_model: distilbert-base-uncased |
| tags: |
| - generated_from_trainer |
| datasets: |
| - ag_news |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: trainer-chapter4 |
| results: |
| - task: |
| name: Text Classification |
| type: text-classification |
| dataset: |
| name: ag_news |
| type: ag_news |
| config: default |
| split: test |
| args: default |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.9130263157894737 |
| - name: F1 |
| type: f1 |
| value: 0.913030189041398 |
| --- |
| |
| <!-- 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. --> |
|
|
| # trainer-chapter4 |
|
|
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the ag_news dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2713 |
| - Accuracy: 0.9130 |
| - F1: 0.9130 |
| |
| ## 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: 5e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 2 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | No log | 1.0 | 313 | 0.2816 | 0.9046 | 0.9042 | |
| | 0.2967 | 2.0 | 626 | 0.2713 | 0.9130 | 0.9130 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.34.1 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.4 |
| - Tokenizers 0.14.0 |
| |
