---
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_30
  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_30

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_30 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5883
- Rewards/chosen: 1.9964
- Rewards/rejected: -0.3785
- Rewards/accuracies: 0.8403
- Rewards/margins: 2.3750
- Logps/rejected: -233.2932
- Logps/chosen: -249.7375
- Logits/rejected: -2.2233
- Logits/chosen: -2.2292

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.2594        | 1.2422 | 50   | 0.5902          | 1.6739         | -0.2014          | 0.7986             | 1.8753          | -231.5221      | -252.9634    | -2.2944         | -2.2956       |
| 0.1658        | 2.4845 | 100  | 0.5874          | 2.0247         | -0.3441          | 0.8333             | 2.3688          | -232.9490      | -249.4547    | -2.2372         | -2.2420       |


### Framework versions

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