| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: answerdotai/ModernBERT-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| - precision |
| - recall |
| model-index: |
| - name: SentimentAnalysis-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. --> |
|
|
| # SentimentAnalysis-IMDB |
|
|
| This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1775 |
| - Accuracy: 0.9411 |
| - F1: 0.9411 |
| - Precision: 0.9411 |
| - Recall: 0.9411 |
| - Roc Auc: 0.9411 |
|
|
| ## 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: 0.0002 |
| - train_batch_size: 16 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.05 |
| - num_epochs: 2 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Roc Auc | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:| |
| | 0.1984 | 1.0 | 1563 | 0.2196 | 0.9184 | 0.9182 | 0.9224 | 0.9184 | 0.9184 | |
| | 0.0817 | 2.0 | 3126 | 0.1775 | 0.9411 | 0.9411 | 0.9411 | 0.9411 | 0.9411 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.48.0.dev0 |
| - Pytorch 2.4.1+cu121 |
| - Datasets 3.1.0 |
| - Tokenizers 0.21.0 |
|
|
