---
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_random_0_30
  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_random_0_30

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_random_0_30 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6184
- Rewards/chosen: 0.7817
- Rewards/rejected: -0.8532
- Rewards/accuracies: 0.7708
- Rewards/margins: 1.6349
- Logps/rejected: -211.9707
- Logps/chosen: -253.8823
- Logits/rejected: -2.5581
- Logits/chosen: -2.5412

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.2364        | 1.2422 | 50   | 0.5729          | 1.2346         | 0.1347           | 0.7292             | 1.0999          | -202.0917      | -249.3526    | -2.5158         | -2.5087       |
| 0.1061        | 2.4845 | 100  | 0.6159          | 0.7571         | -0.8876          | 0.7569             | 1.6447          | -212.3150      | -254.1281    | -2.5775         | -2.5599       |


### Framework versions

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