my-imdb-sentiment-analysis
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3654
- Accuracy: 0.9325
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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2271 | 1.0 | 1563 | 0.2206 | 0.9136 |
| 0.151 | 2.0 | 3126 | 0.2260 | 0.9308 |
| 0.0934 | 3.0 | 4689 | 0.3009 | 0.9307 |
| 0.0491 | 4.0 | 6252 | 0.3504 | 0.9317 |
| 0.0344 | 5.0 | 7815 | 0.3654 | 0.9325 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for notsubash/my-imdb-sentiment-analysis
Base model
distilbert/distilbert-base-uncased