swe-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2722
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.578 | 1.0 | 2018 | 4.0980 |
| 3.9756 | 2.0 | 4036 | 3.7607 |
| 3.744 | 3.0 | 6054 | 3.6022 |
| 3.6068 | 4.0 | 8072 | 3.5028 |
| 3.511 | 5.0 | 10090 | 3.4279 |
| 3.4393 | 6.0 | 12108 | 3.3738 |
| 3.3818 | 7.0 | 14126 | 3.3315 |
| 3.3376 | 8.0 | 16144 | 3.3016 |
| 3.303 | 9.0 | 18162 | 3.2815 |
| 3.2784 | 10.0 | 20180 | 3.2722 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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