STBERT10
This model is a fine-tuned version of microsoft/codebert-base-mlm on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.2666
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: 2e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use paged_adamw_32bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 10.8121 | 1.0 | 15 | 11.2396 |
| 7.4403 | 2.0 | 30 | 7.8295 |
| 7.4047 | 3.0 | 45 | 6.3221 |
| 5.6737 | 4.0 | 60 | 5.7551 |
| 6.2806 | 5.0 | 75 | 5.5092 |
| 5.2715 | 6.0 | 90 | 5.3857 |
| 5.9748 | 7.0 | 105 | 5.3201 |
| 5.1571 | 8.0 | 120 | 5.2832 |
| 5.8871 | 9.0 | 135 | 5.2691 |
| 5.131 | 10.0 | 150 | 5.2666 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
microsoft/codebert-base-mlm