| | --- |
| | 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_random_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_random_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_random_0_70 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5414 |
| | - Rewards/chosen: 0.5872 |
| | - Rewards/rejected: -1.5508 |
| | - Rewards/accuracies: 0.7768 |
| | - Rewards/margins: 2.1380 |
| | - Logps/rejected: -227.1739 |
| | - Logps/chosen: -233.6734 |
| | - Logits/rejected: -1.9224 |
| | - Logits/chosen: -1.9691 |
| |
|
| | ## 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 | |
| | |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
| | | 0.6034 | 0.5348 | 50 | 0.5869 | 0.7400 | -0.1413 | 0.7292 | 0.8813 | -213.0786 | -232.1449 | -2.5305 | -2.5372 | |
| | | 0.2659 | 1.0695 | 100 | 0.5500 | 1.0886 | -0.4196 | 0.7679 | 1.5081 | -215.8615 | -228.6596 | -2.1146 | -2.1482 | |
| | | 0.2599 | 1.6043 | 150 | 0.5465 | 0.7596 | -1.0841 | 0.7679 | 1.8437 | -222.5069 | -231.9491 | -2.1122 | -2.1442 | |
| | | 0.1366 | 2.1390 | 200 | 0.5222 | 0.5890 | -1.4225 | 0.7857 | 2.0115 | -225.8904 | -233.6554 | -2.0824 | -2.1154 | |
| | | 0.1488 | 2.6738 | 250 | 0.5411 | 0.5980 | -1.5260 | 0.7768 | 2.1240 | -226.9253 | -233.5653 | -1.9322 | -1.9781 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.45.2 |
| | - Pytorch 2.4.0+cu121 |
| | - Datasets 2.21.0 |
| | - Tokenizers 0.20.3 |
| | |
