MLM
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.4494
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: 0.0001
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.0372 | 10.87 | 500 | 6.3028 |
| 6.0257 | 21.74 | 1000 | 6.2374 |
| 6.0084 | 32.61 | 1500 | 6.2937 |
| 5.9784 | 43.48 | 2000 | 6.1836 |
| 5.9738 | 54.35 | 2500 | 6.5184 |
| 5.9795 | 65.22 | 3000 | 6.2282 |
| 5.9726 | 76.09 | 3500 | 6.3921 |
| 5.9744 | 86.96 | 4000 | 6.2515 |
| 5.9694 | 97.83 | 4500 | 6.4494 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
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