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backup_0202_llamafactory_AA_preference_Cherry_0_60-llava-mistral

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metadata
library_name: transformers
license: other
base_model: llava-hf/llava-v1.6-mistral-7b-hf
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: AA_preference_Cherry_0_60
    results: []

AA_preference_Cherry_0_60

This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on the AA_preference_Cherry_0_60 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4983
  • Rewards/chosen: 2.3376
  • Rewards/rejected: -0.8230
  • Rewards/accuracies: 0.8074
  • Rewards/margins: 3.1606
  • Logps/rejected: -240.8466
  • Logps/chosen: -306.5101
  • Logits/rejected: -2.0946
  • Logits/chosen: -2.1213

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 Rewards/chosen Rewards/rejected Rewards/accuracies Rewards/margins Logps/rejected Logps/chosen Logits/rejected Logits/chosen
0.5436 0.4923 40 0.5011 2.5953 0.9447 0.7736 1.6506 -223.1691 -303.9334 -2.0088 -2.0351
0.4689 0.9846 80 0.4769 1.8328 -0.2925 0.8074 2.1253 -235.5412 -311.5584 -2.2292 -2.2518
0.1825 1.4769 120 0.5121 1.9848 -0.7992 0.8142 2.7840 -240.6085 -310.0383 -2.1958 -2.2158
0.2112 1.9692 160 0.4885 2.4604 -0.3263 0.8176 2.7867 -235.8799 -305.2829 -2.1603 -2.1813
0.1059 2.4615 200 0.4947 2.3506 -0.7274 0.8108 3.0780 -239.8905 -306.3801 -2.1061 -2.1317
0.1134 2.9538 240 0.4985 2.3366 -0.8241 0.8108 3.1607 -240.8571 -306.5204 -2.0945 -2.1211

Framework versions

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