tiny-mlm-glue-qnli
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: 3.7933
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 |
|---|---|---|---|
| 4.1842 | 0.4 | 500 | 3.7675 |
| 4.1114 | 0.8 | 1000 | 3.7501 |
| 4.1321 | 1.2 | 1500 | 3.7769 |
| 4.0487 | 1.6 | 2000 | 3.7642 |
| 4.0894 | 2.0 | 2500 | 3.7933 |
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