bert-mini-mlm-finetuned-emotion
This model is a fine-tuned version of google/bert_uncased_L-4_H-256_A-4 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0041
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: 3e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3034 | 22.73 | 500 | 3.0423 |
| 3.0612 | 45.45 | 1000 | 3.0242 |
| 2.9507 | 68.18 | 1500 | 2.9806 |
| 2.8609 | 90.91 | 2000 | 3.0442 |
| 2.7887 | 113.64 | 2500 | 3.0179 |
| 2.7104 | 136.36 | 3000 | 3.0041 |
Framework versions
- Transformers 4.25.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2