tuningmistral1/qwen2.5-14b-lora

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qwen2514blora

This model is a fine-tuned version of unsloth/Qwen2.5-14B-Instruct-bnb-4bit on the capecdatas, the writeupdatas, the mitredatas and the cve2capecdatas datasets.

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: 0.0002
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 2
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 16
• —totalevalbatch_size: 16
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 8.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.16.0
• —Transformers 4.53.3
• —Pytorch 2.6.0+cu124
• —Datasets 4.0.0
• —Tokenizers 0.21.2