tiny-mlm-glue-mrpc
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: 4.0034
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 |
|---|---|---|---|
| 4.4206 | 1.09 | 500 | 3.9467 |
| 4.3088 | 2.18 | 1000 | 3.8183 |
| 4.1805 | 3.27 | 1500 | 3.9761 |
| 4.1129 | 4.36 | 2000 | 4.0324 |
| 4.032 | 5.45 | 2500 | 3.7326 |
| 4.0162 | 6.54 | 3000 | 3.7890 |
| 3.9261 | 7.63 | 3500 | 3.7041 |
| 3.943 | 8.71 | 4000 | 3.9622 |
| 3.8852 | 9.8 | 4500 | 3.8910 |
| 3.8712 | 10.89 | 5000 | 4.0034 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
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Base model
google/bert_uncased_L-2_H-128_A-2