metadata
license: apache-2.0
base_model: microsoft/swinv2-base-patch4-window8-256
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: swinv2-base-patch4-window8-256-Kaggle_test_20231123
results: []
swinv2-base-patch4-window8-256-Kaggle_test_20231123
This model is a fine-tuned version of microsoft/swinv2-base-patch4-window8-256 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2066
- Accuracy: 0.9315
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2882 | 1.0 | 64 | 0.2488 | 0.9311 |
| 0.2568 | 2.0 | 128 | 0.2522 | 0.9311 |
| 0.1961 | 3.0 | 192 | 0.2066 | 0.9315 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0