| --- |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| base_model: liuhaotian/llava-v1.5-13b |
| model-index: |
| - name: llava_13b_neighborhood |
| 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. --> |
|
|
| # llava_13b_neighborhood |
|
|
| This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b](https://huggingface.co/liuhaotian/llava-v1.5-13b) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.4711 |
|
|
| ## 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: 0.0002 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 8 |
| - total_train_batch_size: 32 |
| - total_eval_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.03 |
| - num_epochs: 10.0 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.896 | 1.0 | 9 | 1.0162 | |
| | 0.2277 | 2.0 | 18 | 1.1135 | |
| | 0.0717 | 3.0 | 27 | 1.1909 | |
| | 0.0271 | 4.0 | 36 | 1.4078 | |
| | 0.0083 | 5.0 | 45 | 1.4837 | |
| | 0.0087 | 6.0 | 54 | 1.5063 | |
| | 0.0087 | 7.0 | 63 | 1.4929 | |
| | 0.0011 | 8.0 | 72 | 1.5387 | |
| | 0.0008 | 9.0 | 81 | 1.5352 | |
| | 0.0032 | 10.0 | 90 | 1.4711 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.10.0 |
| - Transformers 4.37.2 |
| - Pytorch 2.1.2+cu121 |
| - Tokenizers 0.15.1 |
