AA_preference_Cherry_pre_sample
This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on the AA_preference_Cherry_pre_sample dataset. It achieves the following results on the evaluation set:
- Loss: 0.6914
- Rewards/chosen: 0.0125
- Rewards/rejected: 0.0153
- Rewards/accuracies: 0.4375
- Rewards/margins: -0.0028
- Logps/rejected: -237.6343
- Logps/chosen: -248.7040
- Logits/rejected: -2.7640
- Logits/chosen: -2.6941
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: 1.0
Training results
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.3
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Model tree for htlou/mm-interp-AA_preference_Cherry_pre_sample-llava-mistral
Base model
llava-hf/llava-v1.6-mistral-7b-hf