tiny-mlm-glue-qnli-custom-tokenizer-expand-vocab
This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.4983
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 |
|---|---|---|---|
| 6.3849 | 0.4 | 500 | 5.6297 |
| 5.6045 | 0.8 | 1000 | 5.3320 |
| 5.4425 | 1.2 | 1500 | 5.1677 |
| 5.2874 | 1.6 | 2000 | 5.0464 |
| 5.1651 | 2.0 | 2500 | 4.9304 |
| 5.0771 | 2.4 | 3000 | 4.8327 |
| 4.9935 | 2.8 | 3500 | 4.7442 |
| 4.9019 | 3.2 | 4000 | 4.6561 |
| 4.8147 | 3.6 | 4500 | 4.5849 |
| 4.7196 | 4.0 | 5000 | 4.4983 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.9.1.dev0
- Tokenizers 0.13.2