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: distilabel-reasoning-R1-Llama-70B-ja-train
results: []
distilabel-reasoning-R1-Llama-70B-ja-train
This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-7B on the distilabel-reasoning-R1-Llama-70B-ja-train dataset. It achieves the following results on the evaluation set:
- Loss: 0.4519
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: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.766 | 0.1087 | 5 | 0.5912 |
| 0.5873 | 0.2174 | 10 | 0.5282 |
| 0.3868 | 0.3261 | 15 | 0.4958 |
| 0.5101 | 0.4348 | 20 | 0.4761 |
| 0.4085 | 0.5435 | 25 | 0.4644 |
| 0.5561 | 0.6522 | 30 | 0.4578 |
| 0.4683 | 0.7609 | 35 | 0.4542 |
| 0.5055 | 0.8696 | 40 | 0.4526 |
| 0.5359 | 0.9783 | 45 | 0.4519 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3