---
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_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_cosi_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_cosi_new_step10_0_50 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5631
- Rewards/chosen: 1.1577
- Rewards/rejected: -1.6637
- Rewards/accuracies: 0.8208
- Rewards/margins: 2.8214
- Logps/rejected: -228.8032
- Logps/chosen: -253.1133
- Logits/rejected: -2.2359
- Logits/chosen: -2.2654

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5242        | 0.7463 | 50   | 0.5642          | 0.8117         | -0.7280          | 0.7583             | 1.5397          | -219.4454      | -256.5733    | -2.1958         | -2.2182       |
| 0.2523        | 1.4925 | 100  | 0.5878          | 1.3931         | -1.2040          | 0.8042             | 2.5970          | -224.2055      | -250.7594    | -2.3529         | -2.3702       |
| 0.1264        | 2.2388 | 150  | 0.5602          | 1.3270         | -1.4230          | 0.8167             | 2.7499          | -226.3953      | -251.4204    | -2.2382         | -2.2652       |
| 0.1301        | 2.9851 | 200  | 0.5625          | 1.1589         | -1.6695          | 0.8208             | 2.8283          | -228.8604      | -253.1016    | -2.2358         | -2.2653       |


### Framework versions

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