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small-mlm-glue-qqp-custom-tokenizer-expand-vocab
This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.8901
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 |
|---|---|---|---|
| 4.9945 | 0.4 | 500 | 4.2995 |
| 4.253 | 0.8 | 1000 | 3.9195 |
| 3.8857 | 1.2 | 1500 | 3.6343 |
| 3.6372 | 1.6 | 2000 | 3.4816 |
| 3.438 | 2.0 | 2500 | 3.3802 |
| 3.2905 | 2.4 | 3000 | 3.2491 |
| 3.2083 | 2.8 | 3500 | 3.1646 |
| 3.0456 | 3.2 | 4000 | 3.0861 |
| 3.0385 | 3.6 | 4500 | 3.0116 |
| 2.8819 | 4.0 | 5000 | 2.8901 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.9.1.dev0
- Tokenizers 0.13.2
