mehulshankhapal/internvl3-2B-sft-lora-safety-1

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InternVL3-2B-sft-lora-1

This model is a fine-tuned version of OpenGVLab/InternVL3-2B-hf on the train_dataset dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2036

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
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 4
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 50
• —num_epochs: 5.0

Training results

Framework versions

• —PEFT 0.15.2
• —Transformers 4.52.1
• —Pytorch 2.2.2+cu121
• —Datasets 3.6.0
• —Tokenizers 0.21.2