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small-mlm-glue-mrpc-from-scratch-custom-tokenizer
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 7.0921
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 |
|---|---|---|---|
| 7.5774 | 1.09 | 500 | 7.4537 |
| 6.8996 | 2.18 | 1000 | 7.2126 |
| 6.7561 | 3.27 | 1500 | 7.2096 |
| 6.6612 | 4.36 | 2000 | 7.3546 |
| 6.5592 | 5.45 | 2500 | 7.1413 |
| 6.4477 | 6.54 | 3000 | 7.0442 |
| 6.3353 | 7.63 | 3500 | 6.9854 |
| 6.3173 | 8.71 | 4000 | 7.2778 |
| 6.2492 | 9.8 | 4500 | 7.1100 |
| 6.2231 | 10.89 | 5000 | 7.0921 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
