metadata
library_name: transformers
license: apache-2.0
base_model: itsLeen/swin-large-ai-or-not
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: swin-large-ai-or-not
results: []
swin-large-ai-or-not
This model is a fine-tuned version of itsLeen/swin-large-ai-or-not on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2789
- Accuracy: 0.9558
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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 57 | 0.2138 | 0.9204 |
| No log | 2.0 | 114 | 0.2483 | 0.9381 |
| No log | 3.0 | 171 | 0.2920 | 0.9469 |
| No log | 4.0 | 228 | 0.2789 | 0.9558 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Tokenizers 0.19.1