absa-restaurants-distilbert-base-uncased
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: 0.5845
- Accuracy: 0.7918
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 |
|---|---|---|---|---|
| No log | 1.0 | 226 | 0.7111 | 0.7337 |
| No log | 2.0 | 452 | 0.6517 | 0.7444 |
| 0.6945 | 3.0 | 678 | 0.6291 | 0.7605 |
| 0.6945 | 4.0 | 904 | 0.5985 | 0.7837 |
| 0.4252 | 5.0 | 1130 | 0.5845 | 0.7918 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0