---
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_l0_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_l0_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_l0_0_75 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5643
- Rewards/chosen: 1.3942
- Rewards/rejected: -0.7947
- Rewards/accuracies: 0.8000
- Rewards/margins: 2.1889
- Logps/rejected: -224.1609
- Logps/chosen: -246.0838
- Logits/rejected: -2.3264
- Logits/chosen: -2.3596

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5946        | 0.7463 | 50   | 0.5850          | 1.2899         | -0.0802          | 0.7333             | 1.3701          | -217.0163      | -247.1266    | -2.3881         | -2.4191       |
| 0.255         | 1.4925 | 100  | 0.5857          | 1.4526         | -0.5760          | 0.7958             | 2.0286          | -221.9741      | -245.4996    | -2.4099         | -2.4342       |
| 0.1492        | 2.2388 | 150  | 0.5706          | 1.4938         | -0.5466          | 0.7917             | 2.0403          | -221.6795      | -245.0877    | -2.3284         | -2.3634       |
| 0.1536        | 2.9851 | 200  | 0.5642          | 1.3949         | -0.7954          | 0.7917             | 2.1903          | -224.1678      | -246.0766    | -2.3262         | -2.3595       |


### Framework versions

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