metadata
license: apache-2.0
base_model: microsoft/swin-base-patch4-window7-224-in22k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: swin-base-patch4-window7-224-in22k-finetuned-CT-V2
results: []
swin-base-patch4-window7-224-in22k-finetuned-CT-V2
This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224-in22k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0068
- Accuracy: 0.9983
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 1147 | 0.0708 | 0.9768 |
| No log | 2.0 | 2294 | 0.0423 | 0.9871 |
| No log | 3.0 | 3441 | 0.0128 | 0.9963 |
| No log | 4.0 | 4588 | 0.0155 | 0.9951 |
| No log | 5.0 | 5735 | 0.0075 | 0.9980 |
| No log | 6.0 | 6882 | 0.0090 | 0.9979 |
| No log | 7.0 | 8029 | 0.0075 | 0.9976 |
| 0.1295 | 8.0 | 9176 | 0.0068 | 0.9983 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cpu
- Datasets 2.20.0
- Tokenizers 0.19.1