sft_small
This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 3.9430
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: 1.41e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.437 | 0.1 | 1 | 3.9886 |
| 4.2418 | 0.2 | 2 | 3.9798 |
| 4.3555 | 0.3 | 3 | 3.9724 |
| 3.1845 | 0.4 | 4 | 3.9651 |
| 3.0337 | 0.5 | 5 | 3.9591 |
| 4.6927 | 0.6 | 6 | 3.9539 |
| 4.5557 | 0.7 | 7 | 3.9497 |
| 3.9312 | 0.8 | 8 | 3.9464 |
| 4.0857 | 0.9 | 9 | 3.9441 |
| 4.1279 | 1.0 | 10 | 3.9430 |
Framework versions
- PEFT 0.10.0
- Transformers 4.43.0.dev0
- Pytorch 2.2.2+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for stojchet/sft_small
Base model
deepseek-ai/deepseek-coder-1.3b-base