license: apache-2.0 | |
base_model: microsoft/swinv2-base-patch4-window12-192-22k | |
tags: | |
- generated_from_trainer | |
datasets: | |
- imagefolder | |
metrics: | |
- accuracy | |
- precision | |
- recall | |
- f1 | |
model-index: | |
- name: swinv2-base-patch4-window12-192-22k-finetuned-lora-ISIC-2019 | |
results: [] | |
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# swinv2-base-patch4-window12-192-22k-finetuned-lora-ISIC-2019 | |
This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-base-patch4-window12-192-22k) on the imagefolder dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.4329 | |
- Accuracy: 0.9160 | |
- Precision: 0.9157 | |
- Recall: 0.9160 | |
- F1: 0.9156 | |
## 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: 0.001 | |
- train_batch_size: 64 | |
- eval_batch_size: 64 | |
- seed: 42 | |
- gradient_accumulation_steps: 4 | |
- total_train_batch_size: 256 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 100 | |
### Training results | |
### Framework versions | |
- Transformers 4.32.1 | |
- Pytorch 2.0.1 | |
- Datasets 2.12.0 | |
- Tokenizers 0.13.2 | |