---
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_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_random_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_random_0_70 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5414
- Rewards/chosen: 0.5872
- Rewards/rejected: -1.5508
- Rewards/accuracies: 0.7768
- Rewards/margins: 2.1380
- Logps/rejected: -227.1739
- Logps/chosen: -233.6734
- Logits/rejected: -1.9224
- Logits/chosen: -1.9691

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6034        | 0.5348 | 50   | 0.5869          | 0.7400         | -0.1413          | 0.7292             | 0.8813          | -213.0786      | -232.1449    | -2.5305         | -2.5372       |
| 0.2659        | 1.0695 | 100  | 0.5500          | 1.0886         | -0.4196          | 0.7679             | 1.5081          | -215.8615      | -228.6596    | -2.1146         | -2.1482       |
| 0.2599        | 1.6043 | 150  | 0.5465          | 0.7596         | -1.0841          | 0.7679             | 1.8437          | -222.5069      | -231.9491    | -2.1122         | -2.1442       |
| 0.1366        | 2.1390 | 200  | 0.5222          | 0.5890         | -1.4225          | 0.7857             | 2.0115          | -225.8904      | -233.6554    | -2.0824         | -2.1154       |
| 0.1488        | 2.6738 | 250  | 0.5411          | 0.5980         | -1.5260          | 0.7768             | 2.1240          | -226.9253      | -233.5653    | -1.9322         | -1.9781       |


### Framework versions

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