---
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_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_l0_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_l0_new_step10_0_60 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5930
- Rewards/chosen: 0.5295
- Rewards/rejected: -1.8896
- Rewards/accuracies: 0.7917
- Rewards/margins: 2.4190
- Logps/rejected: -242.2141
- Logps/chosen: -237.5954
- Logits/rejected: -2.0873
- Logits/chosen: -2.1246

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5728        | 0.6231 | 50   | 0.5968          | 0.7303         | -0.4694          | 0.7257             | 1.1997          | -228.0123      | -235.5866    | -2.3844         | -2.3915       |
| 0.2338        | 1.2461 | 100  | 0.6138          | 0.8569         | -1.0717          | 0.7708             | 1.9286          | -234.0351      | -234.3208    | -2.3760         | -2.3908       |
| 0.2653        | 1.8692 | 150  | 0.5830          | 0.4703         | -1.7333          | 0.7847             | 2.2035          | -240.6510      | -238.1874    | -2.0378         | -2.0764       |
| 0.1596        | 2.4922 | 200  | 0.5909          | 0.5892         | -1.8017          | 0.7951             | 2.3909          | -241.3353      | -236.9982    | -2.0980         | -2.1340       |


### Framework versions

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