---
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_0_50
  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_0_50

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_0_50 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5580
- Rewards/chosen: 1.1191
- Rewards/rejected: -1.7161
- Rewards/accuracies: 0.8125
- Rewards/margins: 2.8352
- Logps/rejected: -229.3270
- Logps/chosen: -253.4991
- Logits/rejected: -2.2872
- Logits/chosen: -2.3146

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5248        | 0.7463 | 50   | 0.5636          | 0.7981         | -0.7376          | 0.7625             | 1.5357          | -219.5417      | -256.7093    | -2.1893         | -2.2123       |
| 0.2521        | 1.4925 | 100  | 0.5887          | 1.3477         | -1.2511          | 0.8042             | 2.5988          | -224.6767      | -251.2128    | -2.3607         | -2.3766       |
| 0.1273        | 2.2388 | 150  | 0.5529          | 1.1944         | -1.5829          | 0.8250             | 2.7773          | -227.9948      | -252.7459    | -2.2852         | -2.3106       |
| 0.1289        | 2.9851 | 200  | 0.5586          | 1.1189         | -1.7195          | 0.8125             | 2.8384          | -229.3605      | -253.5011    | -2.2866         | -2.3140       |


### Framework versions

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