| --- |
| language: |
| - en |
| license: apache-2.0 |
| base_model: distilbert-base-cased |
| tags: |
| - pytorch |
| - movie-review-sentiment |
| - BertForSequenceClassification |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - matthews_correlation |
| model-index: |
| - name: distilbert-base-imdb |
| 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. --> |
|
|
| # distilbert-base-imdb |
|
|
| This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the imdb dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3490 |
| - Accuracy: 0.9315 |
| - Matthews Correlation: 0.8630 |
|
|
| ## 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: 320 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Matthews Correlation | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------------------:| |
| | 0.2597 | 1.0 | 1250 | 0.1997 | 0.921 | 0.8426 | |
| | 0.165 | 2.0 | 2500 | 0.1839 | 0.9291 | 0.8582 | |
| | 0.0788 | 3.0 | 3750 | 0.2218 | 0.9308 | 0.8617 | |
| | 0.0235 | 4.0 | 5000 | 0.3490 | 0.9315 | 0.8630 | |
| | 0.0123 | 5.0 | 6250 | 0.3721 | 0.9314 | 0.8628 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.35.2 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
| |
