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: reasoning-multilingual-R1-Llama-70B-train
results: []
reasoning-multilingual-R1-Llama-70B-train
This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-7B on the reasoning-multilingual-R1-Llama-70B-train dataset. It achieves the following results on the evaluation set:
- Loss: 0.5135
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 8
- 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: 0.01
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5539 | 0.3158 | 6 | 0.3874 |
| 0.5069 | 0.6316 | 12 | 0.4255 |
| 0.5634 | 0.9474 | 18 | 0.4700 |
| 0.7207 | 1.2632 | 24 | 0.5061 |
| 0.6525 | 1.5789 | 30 | 0.5270 |
| 0.7435 | 1.8947 | 36 | 0.5325 |
| 0.7488 | 2.2105 | 42 | 0.5383 |
| 0.5786 | 2.5263 | 48 | 0.5181 |
| 0.7325 | 2.8421 | 54 | 0.5146 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.6.0.dev20241113+rocm6.2
- Datasets 3.1.0
- Tokenizers 0.20.3