tiny-mlm-glue-sst2
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: 4.2692
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
- num_epochs: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.0578 | 0.4 | 500 | 4.3208 |
| 4.9384 | 0.8 | 1000 | 4.2217 |
| 4.723 | 1.2 | 1500 | 4.2379 |
| 4.7743 | 1.6 | 2000 | 4.1685 |
| 4.7412 | 2.0 | 2500 | 4.2323 |
| 4.6544 | 2.4 | 3000 | 4.1379 |
| 4.5779 | 2.8 | 3500 | 4.2603 |
| 4.5658 | 3.2 | 4000 | 4.2627 |
| 4.5364 | 3.6 | 4500 | 4.2692 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2