distiled_flip_model_twitter_eval_alpha_0.8_epoch7_v1
This model is a fine-tuned version of ArafatBHossain/distilbert-base-uncased_fine_tuned_sent140 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9772
- Accuracy: 0.7406
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: 5e-05
- 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: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.9422 | 1.0 | 408 | 0.9818 | 0.7193 |
| 0.8752 | 2.0 | 816 | 0.9302 | 0.7299 |
| 0.8253 | 3.0 | 1224 | 0.9979 | 0.7433 |
| 0.8392 | 4.0 | 1632 | 0.9786 | 0.7433 |
| 0.8036 | 5.0 | 2040 | 0.9793 | 0.7380 |
| 0.7921 | 6.0 | 2448 | 1.0107 | 0.7487 |
| 0.8221 | 7.0 | 2856 | 0.9772 | 0.7406 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.11.0
- Datasets 2.6.1
- Tokenizers 0.12.1