README.md

metadata

library_name: transformers
license: other
base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: STILL-seed2
    results: []

STILL-seed2

This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-32B on the still dataset.

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: 8
• seed: 2
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 12
• total_train_batch_size: 96
• total_eval_batch_size: 64
• optimizer: Use OptimizerNames.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: 17

Training results

Framework versions

• Transformers 4.49.0
• Pytorch 2.8.0.dev20250322+cu128
• Datasets 3.2.0
• Tokenizers 0.21.0