movie_sentiment_model
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3100
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3284 | 1.0 | 188 | 0.3100 |
| 0.2269 | 2.0 | 376 | 0.3281 |
| 0.1503 | 3.0 | 564 | 0.3892 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.0a0+git1c57644
- Datasets 4.3.0
- Tokenizers 0.22.1