text_twitter_test
This model is a fine-tuned version of lxyuan/distilbert-base-multilingual-cased-sentiments-student on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1495
- Accuracy: 0.7577
- F1: 0.7578
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 487 | 0.6929 | 0.7094 | 0.7080 |
| 0.8492 | 2.0 | 974 | 0.7332 | 0.7515 | 0.7492 |
| 0.5179 | 3.0 | 1461 | 0.8603 | 0.7444 | 0.7428 |
| 0.3549 | 4.0 | 1948 | 1.1495 | 0.7577 | 0.7578 |
| 0.2481 | 5.0 | 2435 | 1.2338 | 0.7556 | 0.7552 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu121
- Datasets 3.4.1
- Tokenizers 0.21.1