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tiny-mlm-glue-wnli-from-scratch-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: 5.5263
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 |
|---|---|---|---|
| 9.1486 | 6.25 | 500 | 7.8470 |
| 7.1116 | 12.5 | 1000 | 6.6165 |
| 6.3036 | 18.75 | 1500 | 6.1976 |
| 6.0919 | 25.0 | 2000 | 6.2290 |
| 6.0014 | 31.25 | 2500 | 6.0136 |
| 5.9682 | 37.5 | 3000 | 5.8730 |
| 5.8571 | 43.75 | 3500 | 5.7612 |
| 5.8144 | 50.0 | 4000 | 5.7921 |
| 5.7654 | 56.25 | 4500 | 5.8279 |
| 5.7322 | 62.5 | 5000 | 5.5263 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.9.1.dev0
- Tokenizers 0.13.2
