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small-mlm-glue-wnli-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: 3.2040
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 |
|---|---|---|---|
| 6.1082 | 6.25 | 500 | 5.9594 |
| 5.4068 | 12.5 | 1000 | 5.6740 |
| 5.0739 | 18.75 | 1500 | 5.2598 |
| 4.7626 | 25.0 | 2000 | 4.8211 |
| 4.435 | 31.25 | 2500 | 4.4480 |
| 4.1433 | 37.5 | 3000 | 4.4832 |
| 3.8443 | 43.75 | 3500 | 3.9836 |
| 3.5364 | 50.0 | 4000 | 3.9410 |
| 3.2581 | 56.25 | 4500 | 3.3900 |
| 2.9884 | 62.5 | 5000 | 3.2040 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
