---
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_60
  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_60

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_60 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5970
- Rewards/chosen: 1.1265
- Rewards/rejected: -0.9790
- Rewards/accuracies: 0.7882
- Rewards/margins: 2.1055
- Logps/rejected: -220.6737
- Logps/chosen: -235.6061
- Logits/rejected: -2.2225
- Logits/chosen: -2.2440

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5547        | 0.6231 | 50   | 0.5781          | 0.9538         | -0.0749          | 0.7222             | 1.0286          | -211.6319      | -237.3329    | -2.4876         | -2.4892       |
| 0.2103        | 1.2461 | 100  | 0.6054          | 1.3022         | -0.3360          | 0.7778             | 1.6381          | -214.2431      | -233.8492    | -2.2990         | -2.3139       |
| 0.2095        | 1.8692 | 150  | 0.5998          | 1.4071         | -0.5239          | 0.7743             | 1.9310          | -216.1227      | -232.8000    | -2.3737         | -2.3872       |
| 0.1498        | 2.4922 | 200  | 0.5972          | 1.0916         | -1.0086          | 0.7847             | 2.1001          | -220.9690      | -235.9549    | -2.2258         | -2.2469       |


### Framework versions

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