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---
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_Cherry_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_Cherry_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_Cherry_0_50 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4853
- Rewards/chosen: 2.7507
- Rewards/rejected: -0.5491
- Rewards/accuracies: 0.8548
- Rewards/margins: 3.2998
- Logps/rejected: -247.9047
- Logps/chosen: -301.7189
- Logits/rejected: -2.0198
- Logits/chosen: -2.0547
## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.563 | 0.5904 | 40 | 0.4594 | 2.4856 | 0.6720 | 0.8185 | 1.8135 | -235.6931 | -304.3701 | -2.1588 | -2.1792 |
| 0.154 | 1.1808 | 80 | 0.4602 | 2.7861 | 0.3929 | 0.8427 | 2.3933 | -238.4848 | -301.3644 | -2.1104 | -2.1357 |
| 0.2027 | 1.7712 | 120 | 0.4869 | 2.5066 | -0.4566 | 0.8548 | 2.9632 | -246.9799 | -304.1596 | -2.1461 | -2.1726 |
| 0.0725 | 2.3616 | 160 | 0.4819 | 2.7680 | -0.4125 | 0.8629 | 3.1805 | -246.5386 | -301.5459 | -2.0424 | -2.0766 |
| 0.0505 | 2.9520 | 200 | 0.4848 | 2.7520 | -0.5489 | 0.8548 | 3.3009 | -247.9026 | -301.7058 | -2.0194 | -2.0544 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.3
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