metadata
library_name: transformers
license: other
base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: full_sft_sc_mix_0.2
results: []
full_sft_sc_mix_0.2
This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-7B on the sc_mix_0.2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.8641
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: 4
- total_train_batch_size: 8
- total_eval_batch_size: 4
- 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
- num_epochs: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8172 | 0.6545 | 500 | 0.8798 |
| 0.5657 | 1.3089 | 1000 | 0.8679 |
| 0.7242 | 1.9634 | 1500 | 0.8642 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0