---
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_new_step10_0_60
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# AA_preference_cosi_new_step10_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_cosi_new_step10_0_60 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5341
- Rewards/chosen: 1.2512
- Rewards/rejected: -1.3631
- Rewards/accuracies: 0.7951
- Rewards/margins: 2.6143
- Logps/rejected: -235.6757
- Logps/chosen: -268.5645
- Logits/rejected: -2.3102
- Logits/chosen: -2.3523

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5451        | 0.6231 | 50   | 0.5847          | 1.2566         | 0.0476           | 0.7465             | 1.2091          | -221.5687      | -268.5103    | -2.4265         | -2.4445       |
| 0.2411        | 1.2461 | 100  | 0.5331          | 1.0138         | -1.1612          | 0.7882             | 2.1750          | -233.6565      | -270.9385    | -2.5634         | -2.5859       |
| 0.2838        | 1.8692 | 150  | 0.5178          | 1.2878         | -1.1255          | 0.7986             | 2.4133          | -233.2990      | -268.1986    | -2.3948         | -2.4266       |
| 0.1415        | 2.4922 | 200  | 0.5325          | 1.3080         | -1.2671          | 0.8090             | 2.5751          | -234.7151      | -267.9961    | -2.3379         | -2.3777       |


### Framework versions

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