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---
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_cosi_0_75
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# AA_preference_cosi_0_75
This model is a fine-tuned version of [llava-hf/llava-v1.6-mistral-7b-hf](https://huggingface.co/llava-hf/llava-v1.6-mistral-7b-hf) on the AA_preference_cosi_0_75 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5439
- Rewards/chosen: 1.0617
- Rewards/rejected: -1.0230
- Rewards/accuracies: 0.7292
- Rewards/margins: 2.0847
- Logps/rejected: -221.4094
- Logps/chosen: -257.3853
- Logits/rejected: -2.2898
- Logits/chosen: -2.2986
## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5811 | 0.7463 | 50 | 0.5699 | 0.5697 | -0.6122 | 0.7333 | 1.1819 | -217.3008 | -262.3048 | -2.3887 | -2.3796 |
| 0.2898 | 1.4925 | 100 | 0.5633 | 1.2446 | -0.5551 | 0.7583 | 1.7998 | -216.7303 | -255.5556 | -2.4747 | -2.4717 |
| 0.131 | 2.2388 | 150 | 0.5345 | 1.2941 | -0.7142 | 0.7625 | 2.0083 | -218.3207 | -255.0607 | -2.3181 | -2.3241 |
| 0.1357 | 2.9851 | 200 | 0.5440 | 1.0620 | -1.0267 | 0.7333 | 2.0886 | -221.4456 | -257.3822 | -2.2899 | -2.2988 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.3
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