dev-store/sc_7b_m0.5

full_sft_sc_mix_0.5

This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-7B on the sc_mix_0.5 dataset. It achieves the following results on the evaluation set:

• Loss: 0.6961

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: 2
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• total_train_batch_size: 8
• total_eval_batch_size: 4
• 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
• num_epochs: 2.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.7176	0.5800	500	0.7047
0.5115	1.1601	1000	0.6996
0.4381	1.7401	1500	0.6965

Framework versions

• Transformers 4.49.0
• Pytorch 2.6.0+cu124
• Datasets 3.2.0
• Tokenizers 0.21.0