|
--- |
|
license: apache-2.0 |
|
base_model: google/vit-base-patch16-224 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- image_folder |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: AnimeCharacterClassifierMark1 |
|
results: |
|
- task: |
|
name: Image Classification |
|
type: image-classification |
|
dataset: |
|
name: image_folder |
|
type: image_folder |
|
config: default |
|
split: train |
|
args: default |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.8655030800821355 |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# AnimeCharacterClassifierMark1 |
|
|
|
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the image_folder dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6720 |
|
- Accuracy: 0.8655 |
|
|
|
## 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: 128 |
|
- eval_batch_size: 128 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 512 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 42 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 5.0145 | 0.99 | 17 | 4.9303 | 0.0092 | |
|
| 4.8416 | 1.97 | 34 | 4.7487 | 0.0287 | |
|
| 4.4383 | 2.96 | 51 | 4.3597 | 0.1170 | |
|
| 4.0762 | 4.0 | 69 | 3.6419 | 0.3224 | |
|
| 3.108 | 4.99 | 86 | 2.8574 | 0.5246 | |
|
| 2.1571 | 5.97 | 103 | 2.2129 | 0.6653 | |
|
| 1.4685 | 6.96 | 120 | 1.7290 | 0.7495 | |
|
| 1.1649 | 8.0 | 138 | 1.3862 | 0.7977 | |
|
| 0.7905 | 8.99 | 155 | 1.1589 | 0.8214 | |
|
| 0.5549 | 9.97 | 172 | 1.0263 | 0.8296 | |
|
| 0.4577 | 10.96 | 189 | 0.8994 | 0.8368 | |
|
| 0.2964 | 12.0 | 207 | 0.8086 | 0.8552 | |
|
| 0.194 | 12.99 | 224 | 0.7446 | 0.8583 | |
|
| 0.1358 | 13.97 | 241 | 0.7064 | 0.8573 | |
|
| 0.1116 | 14.96 | 258 | 0.6720 | 0.8655 | |
|
| 0.0811 | 16.0 | 276 | 0.6515 | 0.8645 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.0 |
|
- Pytorch 2.0.0 |
|
- Datasets 2.1.0 |
|
- Tokenizers 0.13.3 |
|
|
