metadata
library_name: transformers
license: other
base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: code_finetune
results: []
code_finetune
This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-14B on the open_thoughts_19K dataset. It achieves the following results on the evaluation set:
- Loss: 0.4811
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Use adamw_torch 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: 0.1
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4844 | 0.8929 | 1000 | 0.4723 |
| 0.4258 | 1.7857 | 2000 | 0.4722 |
| 0.3709 | 2.6786 | 3000 | 0.4812 |
Framework versions
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0