| --- |
| base_model: DistilBertForSequenceClassification |
| tags: |
| - generated_from_trainer |
| datasets: |
| - imdb |
| model-index: |
| - name: finetuned-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. --> |
|
|
| # finetuned-imdb |
|
|
| This model is a fine-tuned version of [DistilBertForSequenceClassification](https://huggingface.co/DistilBertForSequenceClassification) on the imdb dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4994 |
|
|
| ## 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: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.4041 | 1.0 | 625 | 0.2722 | |
| | 0.2358 | 2.0 | 1250 | 0.3961 | |
| | 0.1243 | 3.0 | 1875 | 0.4994 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.33.2 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.5 |
| - Tokenizers 0.13.3 |
|
|
