distiled_flip_model_emotion_alpha_0.8_epoch7_v1
This model is a fine-tuned version of ArafatBHossain/distill_bert_fine_tuned_emotion_dataset on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.1583
- Accuracy: 0.9435
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 |
|---|---|---|---|---|
| 0.2013 | 1.0 | 2000 | 0.2653 | 0.9355 |
| 0.1625 | 2.0 | 4000 | 0.2537 | 0.9365 |
| 0.1262 | 3.0 | 6000 | 0.1934 | 0.935 |
| 0.1048 | 4.0 | 8000 | 0.1813 | 0.9435 |
| 0.0777 | 5.0 | 10000 | 0.1500 | 0.941 |
| 0.0614 | 6.0 | 12000 | 0.1591 | 0.944 |
| 0.0465 | 7.0 | 14000 | 0.1583 | 0.9435 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.11.0
- Datasets 2.6.1
- Tokenizers 0.12.1