backup_0202_llamafactory_AA_preference_random_0_80-llava-mistral

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AA_preference_random_0_80

This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on the AA_preference_random_0_80 dataset. It achieves the following results on the evaluation set:

• Loss: 0.5567
• Rewards/chosen: -0.0039
• Rewards/rejected: -2.3714
• Rewards/accuracies: 0.8021
• Rewards/margins: 2.3675
• Logps/rejected: -234.5394
• Logps/chosen: -232.6765
• Logits/rejected: -2.2685
• Logits/chosen: -2.3031

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
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 4
• total_train_batch_size: 256
• total_eval_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_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