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small-mlm-glue-qnli-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: 7.1291
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 |
|---|---|---|---|
| 7.996 | 0.4 | 500 | 7.6690 |
| 7.321 | 0.8 | 1000 | 7.5126 |
| 7.1984 | 1.2 | 1500 | 7.4278 |
| 7.1172 | 1.6 | 2000 | 7.3421 |
| 7.0436 | 2.0 | 2500 | 7.2873 |
| 6.9777 | 2.4 | 3000 | 7.2495 |
| 6.9452 | 2.8 | 3500 | 7.2064 |
| 6.855 | 3.2 | 4000 | 7.1517 |
| 6.8094 | 3.6 | 4500 | 7.0928 |
| 6.7602 | 4.0 | 5000 | 7.1291 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
