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: 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-14B on the reasoning-multilingual-R1-Llama-70B-train dataset. It achieves the following results on the evaluation set:
- Loss: 0.4441
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 |
|---|---|---|---|
| 0.4962 | 0.1019 | 11 | 0.5000 |
| 0.5313 | 0.2037 | 22 | 0.4791 |
| 0.4692 | 0.3056 | 33 | 0.4685 |
| 0.3876 | 0.4074 | 44 | 0.4595 |
| 0.4768 | 0.5093 | 55 | 0.4542 |
| 0.4985 | 0.6111 | 66 | 0.4496 |
| 0.4687 | 0.7130 | 77 | 0.4465 |
| 0.4484 | 0.8148 | 88 | 0.4449 |
| 0.4809 | 0.9167 | 99 | 0.4442 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0