results
This model is a fine-tuned version of facebook/w2v-bert-2.0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6006
- Accuracy: 0.5153
- F1 Score Class 0: 0.0
- F1 Score Class 1: 0.0
- F1 Score Class 2: 0.0
- F1 Score Class 3: 0.0
- F1 Score Class 4: 0.0
- F1 Score Class 5: 0.0
- F1 Score Class 6: 0.0
- F1 Score Class 7: 0.6801
- F1 Score Class 8: 0.0
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score Class 0 | F1 Score Class 1 | F1 Score Class 2 | F1 Score Class 3 | F1 Score Class 4 | F1 Score Class 5 | F1 Score Class 6 | F1 Score Class 7 | F1 Score Class 8 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.506 | 1.0 | 533 | 1.6378 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 |
| 1.4754 | 2.0 | 1066 | 1.6081 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 |
| 1.5661 | 3.0 | 1599 | 1.6086 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 |
| 1.5656 | 4.0 | 2132 | 1.6012 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 |
| 1.6768 | 5.0 | 2665 | 1.6281 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 |
| 1.6289 | 6.0 | 3198 | 1.6011 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 |
| 1.4727 | 7.0 | 3731 | 1.6015 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 |
| 1.5386 | 8.0 | 4264 | 1.6054 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 |
| 1.5436 | 9.0 | 4797 | 1.6020 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 |
| 1.4974 | 10.0 | 5330 | 1.6006 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1