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small-mlm-glue-stsb-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: 3.3313
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 |
---|---|---|---|
5.6681 | 0.7 | 500 | 4.5779 |
4.8249 | 1.39 | 1000 | 4.1678 |
4.3901 | 2.09 | 1500 | 4.0839 |
3.998 | 2.78 | 2000 | 3.8122 |
3.8969 | 3.48 | 2500 | 3.5772 |
3.6803 | 4.17 | 3000 | 3.5005 |
3.4722 | 4.87 | 3500 | 3.4153 |
3.4204 | 5.56 | 4000 | 3.4579 |
3.2547 | 6.26 | 4500 | 3.3636 |
3.1737 | 6.95 | 5000 | 3.3313 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.9.1.dev0
- Tokenizers 0.13.2