---
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_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_l0_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_l0_0_50 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5682
- Rewards/chosen: 1.6580
- Rewards/rejected: -0.6999
- Rewards/accuracies: 0.7958
- Rewards/margins: 2.3579
- Logps/rejected: -234.7341
- Logps/chosen: -259.9489
- Logits/rejected: -2.1925
- Logits/chosen: -2.2317

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5987        | 0.7463 | 50   | 0.6138          | 1.2435         | -0.1587          | 0.7583             | 1.4022          | -229.3223      | -264.0939    | -2.0743         | -2.1097       |
| 0.2776        | 1.4925 | 100  | 0.5807          | 1.7478         | -0.3381          | 0.75               | 2.0860          | -231.1164      | -259.0504    | -2.1973         | -2.2346       |
| 0.1711        | 2.2388 | 150  | 0.5595          | 1.4504         | -0.7487          | 0.7833             | 2.1991          | -235.2227      | -262.0249    | -2.1687         | -2.2093       |
| 0.1884        | 2.9851 | 200  | 0.5684          | 1.6586         | -0.7002          | 0.7917             | 2.3588          | -234.7375      | -259.9425    | -2.1927         | -2.2319       |


### Framework versions

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