---
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_50
  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_50

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_50 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4853
- Rewards/chosen: 2.7507
- Rewards/rejected: -0.5491
- Rewards/accuracies: 0.8548
- Rewards/margins: 3.2998
- Logps/rejected: -247.9047
- Logps/chosen: -301.7189
- Logits/rejected: -2.0198
- Logits/chosen: -2.0547

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.563         | 0.5904 | 40   | 0.4594          | 2.4856         | 0.6720           | 0.8185             | 1.8135          | -235.6931      | -304.3701    | -2.1588         | -2.1792       |
| 0.154         | 1.1808 | 80   | 0.4602          | 2.7861         | 0.3929           | 0.8427             | 2.3933          | -238.4848      | -301.3644    | -2.1104         | -2.1357       |
| 0.2027        | 1.7712 | 120  | 0.4869          | 2.5066         | -0.4566          | 0.8548             | 2.9632          | -246.9799      | -304.1596    | -2.1461         | -2.1726       |
| 0.0725        | 2.3616 | 160  | 0.4819          | 2.7680         | -0.4125          | 0.8629             | 3.1805          | -246.5386      | -301.5459    | -2.0424         | -2.0766       |
| 0.0505        | 2.9520 | 200  | 0.4848          | 2.7520         | -0.5489          | 0.8548             | 3.3009          | -247.9026      | -301.7058    | -2.0194         | -2.0544       |


### Framework versions

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