---
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_90
  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_90

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_90 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5233
- Rewards/chosen: 0.7968
- Rewards/rejected: -1.8577
- Rewards/accuracies: 0.8218
- Rewards/margins: 2.6545
- Logps/rejected: -234.1042
- Logps/chosen: -250.9109
- Logits/rejected: -1.8912
- Logits/chosen: -1.9506

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.4674        | 0.8230 | 100  | 0.4985          | 0.1779         | -1.6218          | 0.7940             | 1.7997          | -231.7454      | -257.0998    | -2.2566         | -2.2803       |
| 0.2463        | 1.6461 | 200  | 0.5190          | 1.1459         | -1.2068          | 0.7963             | 2.3527          | -227.5959      | -247.4204    | -1.6292         | -1.7063       |
| 0.1311        | 2.4691 | 300  | 0.5212          | 0.6944         | -1.9013          | 0.8194             | 2.5958          | -234.5411      | -251.9348    | -1.8631         | -1.9243       |


### Framework versions

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