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: 0.2806
- Accuracy: 0.9690
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-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- num_epochs: 40
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2653 | 1.7699 | 50 | 0.2818 | 0.9558 |
| 0.2522 | 3.5398 | 100 | 0.2812 | 0.9646 |
| 0.2616 | 5.3097 | 150 | 0.2810 | 0.9690 |
| 0.2541 | 7.0796 | 200 | 0.2808 | 0.9690 |
| 0.2536 | 8.8496 | 250 | 0.2807 | 0.9690 |
| 0.2534 | 10.6195 | 300 | 0.2806 | 0.9690 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1