sravanthib/qwen_model_testing

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qwenmodeltesting

This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-7B on an unknown 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: 0.0001
• —trainbatchsize: 2
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 10
• —totaltrainbatch_size: 160
• —totalevalbatch_size: 64
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.03
• —training_steps: 10

Training results

Framework versions

• —PEFT 0.16.0
• —Transformers 4.53.1
• —Pytorch 2.7.1+cu126
• —Datasets 2.15.0
• —Tokenizers 0.21.2