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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: RLAIF-V-L0-q0_25_preference
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. -->
# RLAIF-V-L0-q0_25_preference
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 RLAIF-V-L0-q0_25_preference dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5525
- Rewards/chosen: -2.5933
- Rewards/rejected: -4.2536
- Rewards/accuracies: 0.7344
- Rewards/margins: 1.6603
- Logps/rejected: -203.2228
- Logps/chosen: -183.7414
- Logits/rejected: -2.2176
- Logits/chosen: -2.2545
## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5342 | 0.6944 | 50 | 0.5209 | -0.2071 | -0.9491 | 0.7148 | 0.7420 | -170.1774 | -159.8791 | -2.4678 | -2.4995 |
| 0.217 | 1.3889 | 100 | 0.5167 | -1.1670 | -2.3865 | 0.7070 | 1.2195 | -184.5513 | -169.4779 | -2.4044 | -2.4350 |
| 0.105 | 2.0833 | 150 | 0.5275 | -2.3365 | -3.9689 | 0.7383 | 1.6324 | -200.3754 | -181.1734 | -2.1635 | -2.2023 |
| 0.0911 | 2.7778 | 200 | 0.5503 | -2.5532 | -4.2135 | 0.7227 | 1.6603 | -202.8217 | -183.3405 | -2.2203 | -2.2570 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.3
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