---
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_cocour_new_step10_0_50
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# AA_preference_cocour_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_cocour_new_step10_0_50 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5010
- Rewards/chosen: 1.1422
- Rewards/rejected: -1.7885
- Rewards/accuracies: 0.8583
- Rewards/margins: 2.9307
- Logps/rejected: -214.9074
- Logps/chosen: -264.3012
- Logits/rejected: -2.0474
- Logits/chosen: -2.1072

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6039        | 0.7463 | 50   | 0.5475          | 1.3230         | -0.4024          | 0.8167             | 1.7254          | -201.0464      | -262.4934    | -2.4300         | -2.4488       |
| 0.2811        | 1.4925 | 100  | 0.5121          | 1.3770         | -1.3342          | 0.8542             | 2.7112          | -210.3646      | -261.9533    | -1.9351         | -2.0044       |
| 0.1518        | 2.2388 | 150  | 0.5044          | 1.4880         | -1.2566          | 0.8542             | 2.7446          | -209.5883      | -260.8434    | -2.0397         | -2.0982       |
| 0.1381        | 2.9851 | 200  | 0.5010          | 1.1421         | -1.7916          | 0.8583             | 2.9338          | -214.9391      | -264.3022    | -2.0472         | -2.1071       |


### Framework versions

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