---
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_cosi_new_step10_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_cosi_new_step10_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_cosi_new_step10_0_70 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5004
- Rewards/chosen: 0.6967
- Rewards/rejected: -2.0150
- Rewards/accuracies: 0.8006
- Rewards/margins: 2.7116
- Logps/rejected: -216.6696
- Logps/chosen: -251.2154
- Logits/rejected: -2.3392
- Logits/chosen: -2.3776

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5778        | 0.5348 | 50   | 0.5711          | 1.2153         | -0.0689          | 0.7560             | 1.2843          | -197.2090      | -246.0286    | -2.3540         | -2.3824       |
| 0.232         | 1.0695 | 100  | 0.4935          | 0.9389         | -1.0786          | 0.8036             | 2.0175          | -207.3059      | -248.7935    | -2.4977         | -2.5262       |
| 0.2427        | 1.6043 | 150  | 0.4994          | 0.6147         | -1.7279          | 0.8185             | 2.3426          | -213.7988      | -252.0355    | -2.1963         | -2.2464       |
| 0.1239        | 2.1390 | 200  | 0.4941          | 0.6670         | -1.8992          | 0.8065             | 2.5662          | -215.5122      | -251.5120    | -2.3605         | -2.3958       |
| 0.1607        | 2.6738 | 250  | 0.5006          | 0.6972         | -2.0217          | 0.8006             | 2.7190          | -216.7369      | -251.2096    | -2.3349         | -2.3732       |


### Framework versions

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