small-mlm-glue-mrpc-custom-tokenizer-expand-vocab
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: 3.0713
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.327 | 1.09 | 500 | 4.6505 |
| 4.486 | 2.18 | 1000 | 4.0830 |
| 4.0801 | 3.27 | 1500 | 3.9647 |
| 3.841 | 4.36 | 2000 | 3.6616 |
| 3.5786 | 5.45 | 2500 | 3.6047 |
| 3.4159 | 6.54 | 3000 | 3.4439 |
| 3.1616 | 7.63 | 3500 | 3.3131 |
| 3.1009 | 8.71 | 4000 | 3.2167 |
| 2.9661 | 9.8 | 4500 | 3.2388 |
| 2.8417 | 10.89 | 5000 | 3.0713 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.9.1.dev0
- Tokenizers 0.13.2