htlou/mm-interp-AA_preference_cocour_0_50

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AApreferencecocour050

This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on the AApreferencecocour050 dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4988
• —Rewards/chosen: 0.9568
• —Rewards/rejected: -1.9780
• —Rewards/accuracies: 0.8500
• —Rewards/margins: 2.9348
• —Logps/rejected: -217.8485
• —Logps/chosen: -263.8239
• —Logits/rejected: -2.1050
• —Logits/chosen: -2.1590

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-06
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 256
• —totalevalbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 10
• —num_epochs: 3.0

Training results

Framework versions

• —Transformers 4.45.2
• —Pytorch 2.4.0+cu121
• —Datasets 2.21.0
• —Tokenizers 0.20.3