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small-mlm-glue-rte-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: 7.3463
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 |
|---|---|---|---|
| 7.7345 | 1.6 | 500 | 7.4398 |
| 7.051 | 3.21 | 1000 | 7.4338 |
| 6.9685 | 4.81 | 1500 | 7.3969 |
| 6.8422 | 6.41 | 2000 | 7.5530 |
| 6.8292 | 8.01 | 2500 | 7.2865 |
| 6.7599 | 9.62 | 3000 | 7.2730 |
| 6.6839 | 11.22 | 3500 | 7.1490 |
| 6.6433 | 12.82 | 4000 | 7.3275 |
| 6.5957 | 14.42 | 4500 | 7.2154 |
| 6.5601 | 16.03 | 5000 | 7.3463 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
