encoder
This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0670
- Mse: 1.0575
- Rmse: 1.0283
- Mae: 0.9076
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: 5e-05
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Rmse | Mae |
|---|---|---|---|---|---|---|
| 0.0988 | 0.21 | 3000 | 0.0928 | 1.4795 | 1.2164 | 1.1099 |
| 0.0793 | 0.42 | 6000 | 0.0867 | 1.4370 | 1.1987 | 1.1076 |
| 0.0702 | 0.63 | 9000 | 0.0777 | 0.7554 | 0.8691 | 0.7701 |
| 0.0634 | 0.84 | 12000 | 0.0716 | 1.0950 | 1.0464 | 0.9449 |
| 0.0563 | 1.05 | 15000 | 0.0686 | 0.9966 | 0.9983 | 0.8899 |
| 0.0484 | 1.26 | 18000 | 0.0673 | 1.0653 | 1.0321 | 0.9161 |
| 0.0466 | 1.47 | 21000 | 0.0671 | 1.0877 | 1.0429 | 0.9219 |
| 0.0462 | 1.68 | 24000 | 0.0670 | 1.0613 | 1.0302 | 0.9090 |
| 0.046 | 1.89 | 27000 | 0.0670 | 1.0575 | 1.0283 | 0.9076 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0.dev20230605+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
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