miniLM_finetuned_Emotion_2024_06_15
This model is a fine-tuned version of microsoft/MiniLM-L12-H384-uncased on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.3634
- F1: 0.9205
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.367 | 1.0 | 250 | 1.0076 | 0.5959 |
| 0.8543 | 2.0 | 500 | 0.6459 | 0.8558 |
| 0.5709 | 3.0 | 750 | 0.4652 | 0.9057 |
| 0.43 | 4.0 | 1000 | 0.3902 | 0.9161 |
| 0.3763 | 5.0 | 1250 | 0.3634 | 0.9205 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1