---
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_l0_new_step10_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_l0_new_step10_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_l0_new_step10_0_50 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5718
- Rewards/chosen: 1.6486
- Rewards/rejected: -0.6959
- Rewards/accuracies: 0.7875
- Rewards/margins: 2.3445
- Logps/rejected: -234.6941
- Logps/chosen: -260.0429
- Logits/rejected: -2.1761
- Logits/chosen: -2.2166

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6007        | 0.7463 | 50   | 0.6151          | 1.2505         | -0.1629          | 0.7625             | 1.4133          | -229.3638      | -264.0242    | -2.0851         | -2.1190       |
| 0.2744        | 1.4925 | 100  | 0.5826          | 1.7733         | -0.3014          | 0.7542             | 2.0746          | -230.7489      | -258.7962    | -2.2145         | -2.2505       |
| 0.1721        | 2.2388 | 150  | 0.5628          | 1.4346         | -0.7617          | 0.7833             | 2.1963          | -235.3523      | -262.1832    | -2.1546         | -2.1956       |
| 0.1926        | 2.9851 | 200  | 0.5716          | 1.6470         | -0.6954          | 0.7875             | 2.3424          | -234.6892      | -260.0590    | -2.1760         | -2.2166       |


### Framework versions

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