---
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_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_random_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_random_0_50 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6024
- Rewards/chosen: 1.2815
- Rewards/rejected: -0.9739
- Rewards/accuracies: 0.7917
- Rewards/margins: 2.2554
- Logps/rejected: -218.7351
- Logps/chosen: -248.4081
- Logits/rejected: -2.2174
- Logits/chosen: -2.2436

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5788        | 0.7463 | 50   | 0.5886          | 1.3112         | -0.0126          | 0.7667             | 1.3238          | -209.1226      | -248.1118    | -2.3816         | -2.3948       |
| 0.2623        | 1.4925 | 100  | 0.6057          | 1.5827         | -0.4999          | 0.8042             | 2.0826          | -213.9953      | -245.3966    | -2.2436         | -2.2727       |
| 0.1176        | 2.2388 | 150  | 0.5923          | 1.4688         | -0.7137          | 0.7875             | 2.1825          | -216.1334      | -246.5355    | -2.2235         | -2.2485       |
| 0.1387        | 2.9851 | 200  | 0.6027          | 1.2815         | -0.9739          | 0.7875             | 2.2554          | -218.7351      | -248.4080    | -2.2176         | -2.2437       |


### Framework versions

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