metadata

library_name: transformers
license: other
base_model: UWNSL/DeepSeek-R1-Distill-Qwen-7B_sc_v3
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: full+simpo+sc_preference_v2
    results: []

full+simpo+sc_preference_v2

This model is a fine-tuned version of UWNSL/DeepSeek-R1-Distill-Qwen-7B_sc_v3 on the sc_preference_v2 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: 5e-07
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 8
total_train_batch_size: 32
total_eval_batch_size: 32
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: 2.0

Training results

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.0