metadata
license: apache-2.0
base_model: microsoft/swin-tiny-patch4-window7-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: swin-tiny-patch4-window7-224-finetuned-fish
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: train
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.6666666666666666
swin-tiny-patch4-window7-224-finetuned-fish
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.8536
- Accuracy: 0.6667
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
- 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: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 1 | 1.9028 | 0.3333 |
| No log | 2.0 | 2 | 1.8803 | 0.3333 |
| No log | 3.0 | 3 | 1.8603 | 0.3333 |
| No log | 4.0 | 4 | 1.8293 | 0.3333 |
| No log | 5.0 | 5 | 1.8093 | 0.3333 |
| No log | 6.0 | 6 | 1.7682 | 0.3333 |
| No log | 7.0 | 7 | 1.7140 | 0.3333 |
| No log | 8.0 | 8 | 1.6566 | 0.3333 |
| No log | 9.0 | 9 | 1.6020 | 0.3333 |
| 0.8416 | 10.0 | 10 | 1.5466 | 0.3333 |
| 0.8416 | 11.0 | 11 | 1.4709 | 0.3333 |
| 0.8416 | 12.0 | 12 | 1.3894 | 0.3333 |
| 0.8416 | 13.0 | 13 | 1.3049 | 0.5 |
| 0.8416 | 14.0 | 14 | 1.2186 | 0.6667 |
| 0.8416 | 15.0 | 15 | 1.1344 | 0.6667 |
| 0.8416 | 16.0 | 16 | 1.0706 | 0.6667 |
| 0.8416 | 17.0 | 17 | 1.0184 | 0.6667 |
| 0.8416 | 18.0 | 18 | 0.9807 | 0.6667 |
| 0.8416 | 19.0 | 19 | 0.9455 | 0.6667 |
| 0.433 | 20.0 | 20 | 0.9182 | 0.6667 |
| 0.433 | 21.0 | 21 | 0.8942 | 0.6667 |
| 0.433 | 22.0 | 22 | 0.8766 | 0.6667 |
| 0.433 | 23.0 | 23 | 0.8654 | 0.6667 |
| 0.433 | 24.0 | 24 | 0.8578 | 0.6667 |
| 0.433 | 25.0 | 25 | 0.8536 | 0.6667 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1