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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_40
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_40
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_40 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5449
- Rewards/chosen: 2.9584
- Rewards/rejected: -0.1862
- Rewards/accuracies: 0.8300
- Rewards/margins: 3.1446
- Logps/rejected: -260.6278
- Logps/chosen: -298.7855
- Logits/rejected: -1.9543
- Logits/chosen: -1.9311
## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5108 | 0.7373 | 40 | 0.4996 | 2.8014 | 0.7843 | 0.8000 | 2.0171 | -250.9224 | -300.3552 | -1.8153 | -1.8277 |
| 0.1548 | 1.4747 | 80 | 0.5516 | 2.5892 | -0.3111 | 0.8150 | 2.9003 | -261.8770 | -302.4771 | -1.7896 | -1.7813 |
| 0.0739 | 2.2120 | 120 | 0.5419 | 2.8910 | -0.1778 | 0.8150 | 3.0689 | -260.5441 | -299.4589 | -2.0237 | -1.9931 |
| 0.0785 | 2.9493 | 160 | 0.5450 | 2.9577 | -0.1873 | 0.8250 | 3.1451 | -260.6390 | -298.7917 | -1.9546 | -1.9315 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.3
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