distilbert-imdb-sentiment
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: 0.3600
- Accuracy: 0.878
- F1: 0.8770
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.3037 | 1.0 | 125 | 0.3393 | 0.853 | 0.8571 |
| 0.2632 | 2.0 | 250 | 0.3433 | 0.866 | 0.8686 |
| 0.1384 | 3.0 | 375 | 0.3600 | 0.878 | 0.8770 |
Framework versions
- Transformers 5.17.0
- Pytorch 2.14.0
- Datasets 5.0.1
- Tokenizers 0.23.2
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Model tree for youssefhl/distilbert-imdb-sentiment
Base model
distilbert/distilbert-base-uncased