---
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_70
  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_Cherry_0_70

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_Cherry_0_70 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4557
- Rewards/chosen: 1.5899
- Rewards/rejected: -1.4032
- Rewards/accuracies: 0.8198
- Rewards/margins: 2.9930
- Logps/rejected: -237.9070
- Logps/chosen: -288.5520
- Logits/rejected: -2.0398
- Logits/chosen: -2.0633

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.1988        | 1.0554 | 100  | 0.4581          | 1.2441         | -0.7508          | 0.8052             | 1.9949          | -231.3840      | -292.0099    | -2.0274         | -2.0496       |
| 0.0898        | 2.1108 | 200  | 0.4581          | 1.2188         | -1.4863          | 0.8285             | 2.7050          | -238.7381      | -292.2634    | -2.0389         | -2.0563       |


### Framework versions

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