|
--- |
|
license: apache-2.0 |
|
base_model: microsoft/cvt-21-384-22k |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- imagefolder |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: cvt-21-384-22k-finetuned-LeafBack |
|
results: |
|
- task: |
|
name: Image Classification |
|
type: image-classification |
|
dataset: |
|
name: imagefolder |
|
type: imagefolder |
|
config: default |
|
split: validation |
|
args: default |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.974025974025974 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# cvt-21-384-22k-finetuned-LeafBack |
|
|
|
This model is a fine-tuned version of [microsoft/cvt-21-384-22k](https://huggingface.co/microsoft/cvt-21-384-22k) on the imagefolder dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0832 |
|
- Accuracy: 0.9740 |
|
|
|
## 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: 2e-05 |
|
- train_batch_size: 100 |
|
- eval_batch_size: 50 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 60 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| No log | 1.0 | 7 | 0.6551 | 0.6364 | |
|
| No log | 2.0 | 14 | 0.5215 | 0.7532 | |
|
| No log | 3.0 | 21 | 0.4506 | 0.7922 | |
|
| No log | 4.0 | 28 | 0.4032 | 0.8182 | |
|
| No log | 5.0 | 35 | 0.3416 | 0.8442 | |
|
| No log | 6.0 | 42 | 0.2768 | 0.9091 | |
|
| No log | 7.0 | 49 | 0.3287 | 0.8571 | |
|
| No log | 8.0 | 56 | 0.2419 | 0.9091 | |
|
| No log | 9.0 | 63 | 0.2510 | 0.9091 | |
|
| No log | 10.0 | 70 | 0.2100 | 0.8961 | |
|
| No log | 11.0 | 77 | 0.2691 | 0.8961 | |
|
| No log | 12.0 | 84 | 0.2717 | 0.8961 | |
|
| No log | 13.0 | 91 | 0.1412 | 0.9481 | |
|
| No log | 14.0 | 98 | 0.1541 | 0.9351 | |
|
| No log | 15.0 | 105 | 0.2572 | 0.8701 | |
|
| No log | 16.0 | 112 | 0.1843 | 0.8961 | |
|
| No log | 17.0 | 119 | 0.1376 | 0.9481 | |
|
| No log | 18.0 | 126 | 0.1632 | 0.9351 | |
|
| No log | 19.0 | 133 | 0.1901 | 0.9091 | |
|
| No log | 20.0 | 140 | 0.1495 | 0.9221 | |
|
| No log | 21.0 | 147 | 0.1710 | 0.9221 | |
|
| No log | 22.0 | 154 | 0.1906 | 0.9351 | |
|
| No log | 23.0 | 161 | 0.1192 | 0.9610 | |
|
| No log | 24.0 | 168 | 0.2000 | 0.9091 | |
|
| No log | 25.0 | 175 | 0.1611 | 0.9221 | |
|
| No log | 26.0 | 182 | 0.1074 | 0.9610 | |
|
| No log | 27.0 | 189 | 0.1080 | 0.9481 | |
|
| No log | 28.0 | 196 | 0.1405 | 0.9351 | |
|
| No log | 29.0 | 203 | 0.0890 | 0.9610 | |
|
| No log | 30.0 | 210 | 0.0777 | 0.9740 | |
|
| No log | 31.0 | 217 | 0.0636 | 0.9740 | |
|
| No log | 32.0 | 224 | 0.0709 | 0.9740 | |
|
| No log | 33.0 | 231 | 0.0671 | 0.9740 | |
|
| No log | 34.0 | 238 | 0.1055 | 0.9610 | |
|
| No log | 35.0 | 245 | 0.1366 | 0.9610 | |
|
| No log | 36.0 | 252 | 0.1070 | 0.9610 | |
|
| No log | 37.0 | 259 | 0.0890 | 0.9481 | |
|
| No log | 38.0 | 266 | 0.0876 | 0.9481 | |
|
| No log | 39.0 | 273 | 0.0838 | 0.9481 | |
|
| No log | 40.0 | 280 | 0.1502 | 0.9610 | |
|
| No log | 41.0 | 287 | 0.1241 | 0.9610 | |
|
| No log | 42.0 | 294 | 0.1043 | 0.9740 | |
|
| No log | 43.0 | 301 | 0.1126 | 0.9740 | |
|
| No log | 44.0 | 308 | 0.1283 | 0.9610 | |
|
| No log | 45.0 | 315 | 0.1123 | 0.9610 | |
|
| No log | 46.0 | 322 | 0.1198 | 0.9610 | |
|
| No log | 47.0 | 329 | 0.1434 | 0.9610 | |
|
| No log | 48.0 | 336 | 0.1340 | 0.9610 | |
|
| No log | 49.0 | 343 | 0.1073 | 0.9610 | |
|
| No log | 50.0 | 350 | 0.1112 | 0.9610 | |
|
| No log | 51.0 | 357 | 0.1035 | 0.9610 | |
|
| No log | 52.0 | 364 | 0.0972 | 0.9610 | |
|
| No log | 53.0 | 371 | 0.0960 | 0.9610 | |
|
| No log | 54.0 | 378 | 0.0881 | 0.9610 | |
|
| No log | 55.0 | 385 | 0.0797 | 0.9610 | |
|
| No log | 56.0 | 392 | 0.0773 | 0.9740 | |
|
| No log | 57.0 | 399 | 0.0736 | 0.9740 | |
|
| No log | 58.0 | 406 | 0.0794 | 0.9740 | |
|
| No log | 59.0 | 413 | 0.0841 | 0.9740 | |
|
| No log | 60.0 | 420 | 0.0832 | 0.9740 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.1 |
|
- Pytorch 1.10.0+cu111 |
|
- Datasets 2.17.1 |
|
- Tokenizers 0.15.2 |
|
|
