---
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_40
  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_40

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_40 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5449
- Rewards/chosen: 2.9584
- Rewards/rejected: -0.1862
- Rewards/accuracies: 0.8300
- Rewards/margins: 3.1446
- Logps/rejected: -260.6278
- Logps/chosen: -298.7855
- Logits/rejected: -1.9543
- Logits/chosen: -1.9311

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5108        | 0.7373 | 40   | 0.4996          | 2.8014         | 0.7843           | 0.8000             | 2.0171          | -250.9224      | -300.3552    | -1.8153         | -1.8277       |
| 0.1548        | 1.4747 | 80   | 0.5516          | 2.5892         | -0.3111          | 0.8150             | 2.9003          | -261.8770      | -302.4771    | -1.7896         | -1.7813       |
| 0.0739        | 2.2120 | 120  | 0.5419          | 2.8910         | -0.1778          | 0.8150             | 3.0689          | -260.5441      | -299.4589    | -2.0237         | -1.9931       |
| 0.0785        | 2.9493 | 160  | 0.5450          | 2.9577         | -0.1873          | 0.8250             | 3.1451          | -260.6390      | -298.7917    | -1.9546         | -1.9315       |


### Framework versions

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