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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_cosi_new_step10_0_60
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_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_cosi_new_step10_0_60 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5341
- Rewards/chosen: 1.2512
- Rewards/rejected: -1.3631
- Rewards/accuracies: 0.7951
- Rewards/margins: 2.6143
- Logps/rejected: -235.6757
- Logps/chosen: -268.5645
- Logits/rejected: -2.3102
- Logits/chosen: -2.3523
## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5451 | 0.6231 | 50 | 0.5847 | 1.2566 | 0.0476 | 0.7465 | 1.2091 | -221.5687 | -268.5103 | -2.4265 | -2.4445 |
| 0.2411 | 1.2461 | 100 | 0.5331 | 1.0138 | -1.1612 | 0.7882 | 2.1750 | -233.6565 | -270.9385 | -2.5634 | -2.5859 |
| 0.2838 | 1.8692 | 150 | 0.5178 | 1.2878 | -1.1255 | 0.7986 | 2.4133 | -233.2990 | -268.1986 | -2.3948 | -2.4266 |
| 0.1415 | 2.4922 | 200 | 0.5325 | 1.3080 | -1.2671 | 0.8090 | 2.5751 | -234.7151 | -267.9961 | -2.3379 | -2.3777 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.3
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