tinybert-TG-HS-HX-parentpretrained
This model is a fine-tuned version of google/bert_uncased_L-4_H-256_A-4 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1937
- Accuracy: 0.8230
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: 5.2898091511494136e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 33
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1819 | 1.0 | 197 | 0.1923 | 0.8227 |
| 0.1791 | 2.0 | 394 | 0.1922 | 0.8223 |
| 0.1772 | 3.0 | 591 | 0.1950 | 0.8143 |
| 0.1761 | 4.0 | 788 | 0.1932 | 0.8239 |
| 0.1756 | 5.0 | 985 | 0.1932 | 0.8234 |
| 0.1752 | 6.0 | 1182 | 0.1939 | 0.8242 |
| 0.1759 | 7.0 | 1379 | 0.1937 | 0.8230 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0