---
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_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_Cherry_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_Cherry_0_30 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5028
- Rewards/chosen: 3.6010
- Rewards/rejected: 0.2000
- Rewards/accuracies: 0.875
- Rewards/margins: 3.4010
- Logps/rejected: -228.0410
- Logps/chosen: -307.6524
- Logits/rejected: -2.3391
- Logits/chosen: -2.3614

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.474         | 0.9816 | 40   | 0.4699          | 3.1334         | 0.8359           | 0.8553             | 2.2975          | -221.6830      | -312.3291    | -2.1664         | -2.2103       |
| 0.1662        | 1.9632 | 80   | 0.5018          | 3.4522         | 0.2267           | 0.8618             | 3.2255          | -227.7745      | -309.1402    | -2.3660         | -2.3873       |
| 0.0328        | 2.9448 | 120  | 0.5028          | 3.6010         | 0.2000           | 0.875              | 3.4010          | -228.0410      | -307.6524    | -2.3391         | -2.3614       |


### Framework versions

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