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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_cocour_new_step10_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_cocour_new_step10_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_cocour_new_step10_0_40 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5211
- Rewards/chosen: 1.5578
- Rewards/rejected: -1.0138
- Rewards/accuracies: 0.8229
- Rewards/margins: 2.5717
- Logps/rejected: -198.0200
- Logps/chosen: -264.0636
- Logits/rejected: -2.3020
- Logits/chosen: -2.3288
## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5069 | 0.9346 | 50 | 0.5445 | 1.1549 | -0.3300 | 0.7708 | 1.4849 | -191.1814 | -268.0926 | -2.3323 | -2.3625 |
| 0.33 | 1.8692 | 100 | 0.5182 | 1.7644 | -0.6533 | 0.8229 | 2.4177 | -194.4146 | -261.9976 | -2.1958 | -2.2272 |
| 0.1617 | 2.8037 | 150 | 0.5213 | 1.5548 | -1.0154 | 0.8177 | 2.5702 | -198.0357 | -264.0938 | -2.3015 | -2.3283 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.3
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