tiny-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: 7.6341
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 |
|---|---|---|---|
| 9.13 | 1.6 | 500 | 8.4505 |
| 7.8185 | 3.21 | 1000 | 7.7760 |
| 7.2846 | 4.81 | 1500 | 7.5443 |
| 7.1052 | 6.41 | 2000 | 7.7086 |
| 7.1017 | 8.01 | 2500 | 7.5114 |
| 7.0598 | 9.62 | 3000 | 7.4909 |
| 7.0125 | 11.22 | 3500 | 7.4334 |
| 6.9987 | 12.82 | 4000 | 7.6285 |
| 6.9734 | 14.42 | 4500 | 7.4881 |
| 6.9619 | 16.03 | 5000 | 7.6341 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
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