sft6
This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.2783
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: 0.05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.072 | 0.5776 | 100 | 4.6165 |
| 4.7006 | 1.1552 | 200 | 5.2319 |
| 4.877 | 1.7329 | 300 | 4.8986 |
| 4.92 | 2.3105 | 400 | 4.6126 |
| 4.7913 | 2.8881 | 500 | 4.7317 |
| 4.4665 | 3.4657 | 600 | 4.2783 |
Framework versions
- Transformers 4.45.0
- Pytorch 2.5.1+cu124
- Datasets 2.19.2
- Tokenizers 0.20.3
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Base model
deepseek-ai/deepseek-coder-1.3b-base