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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_70
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_70
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_70 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5004
- Rewards/chosen: 0.6967
- Rewards/rejected: -2.0150
- Rewards/accuracies: 0.8006
- Rewards/margins: 2.7116
- Logps/rejected: -216.6696
- Logps/chosen: -251.2154
- Logits/rejected: -2.3392
- Logits/chosen: -2.3776
## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5778 | 0.5348 | 50 | 0.5711 | 1.2153 | -0.0689 | 0.7560 | 1.2843 | -197.2090 | -246.0286 | -2.3540 | -2.3824 |
| 0.232 | 1.0695 | 100 | 0.4935 | 0.9389 | -1.0786 | 0.8036 | 2.0175 | -207.3059 | -248.7935 | -2.4977 | -2.5262 |
| 0.2427 | 1.6043 | 150 | 0.4994 | 0.6147 | -1.7279 | 0.8185 | 2.3426 | -213.7988 | -252.0355 | -2.1963 | -2.2464 |
| 0.1239 | 2.1390 | 200 | 0.4941 | 0.6670 | -1.8992 | 0.8065 | 2.5662 | -215.5122 | -251.5120 | -2.3605 | -2.3958 |
| 0.1607 | 2.6738 | 250 | 0.5006 | 0.6972 | -2.0217 | 0.8006 | 2.7190 | -216.7369 | -251.2096 | -2.3349 | -2.3732 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.3
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