distilbert-p1
This model is a fine-tuned version of lxyuan/distilbert-base-multilingual-cased-sentiments-student on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9133
- Accuracy: 0.6886
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8541 | 1.0 | 980 | 0.8014 | 0.6427 |
| 0.6234 | 2.0 | 1960 | 0.7888 | 0.6733 |
| 0.4153 | 3.0 | 2940 | 1.0769 | 0.6799 |
| 0.2386 | 4.0 | 3920 | 1.6601 | 0.6861 |
| 0.1176 | 5.0 | 4900 | 1.9133 | 0.6886 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cpu
- Datasets 2.14.4
- Tokenizers 0.13.0