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bert-small-mlm-finetuned-emotion
This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7413
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 |
|---|---|---|---|
| 2.8418 | 22.73 | 500 | 2.7035 |
| 2.5706 | 45.45 | 1000 | 2.6968 |
| 2.4199 | 68.18 | 1500 | 2.6595 |
| 2.2901 | 90.91 | 2000 | 2.7323 |
| 2.1793 | 113.64 | 2500 | 2.7560 |
| 2.0651 | 136.36 | 3000 | 2.7413 |
Framework versions
- Transformers 4.25.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
