metadata
library_name: peft
license: other
base_model: deepseek-ai/deepseek-coder-6.7b-base
tags:
- generated_from_trainer
model-index:
- name: instructs
results: []
instructs
This model is a fine-tuned version of deepseek-ai/deepseek-coder-6.7b-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9313
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1326 | 0.5614 | 8 | 1.1244 |
| 1.0454 | 1.0702 | 16 | 1.0752 |
| 1.0377 | 1.6316 | 24 | 1.0369 |
| 0.9498 | 2.1404 | 32 | 1.0040 |
| 0.9241 | 2.7018 | 40 | 0.9807 |
| 0.8259 | 3.2105 | 48 | 0.9605 |
| 0.8531 | 3.7719 | 56 | 0.9540 |
| 0.8317 | 4.2807 | 64 | 0.9431 |
| 0.815 | 4.8421 | 72 | 0.9305 |
| 0.8022 | 5.3509 | 80 | 0.9313 |
Framework versions
- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0