RLAIF-V-Cosi-q0_50

This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on the RLAIF-V-Cosi-q0_50 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0423

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

Training Loss Epoch Step Validation Loss
1.1387 0.3478 50 1.1294
1.0986 0.6957 100 1.0838
0.9413 1.0435 150 1.0630
0.9147 1.3913 200 1.0510
0.9097 1.7391 250 1.0377
0.8125 2.0870 300 1.0442
0.8092 2.4348 350 1.0428
0.8049 2.7826 400 1.0423

Framework versions

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