metadata
license: apache-2.0
base_model: microsoft/beit-large-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: Boya1_3Class_SGD_1e3_20Epoch_Beit-large-224_fold1
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: test
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.7360847135487374
Boya1_3Class_SGD_1e3_20Epoch_Beit-large-224_fold1
This model is a fine-tuned version of microsoft/beit-large-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.6426
- Accuracy: 0.7361
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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8408 | 1.0 | 924 | 0.9037 | 0.6155 |
| 0.8244 | 2.0 | 1848 | 0.7895 | 0.6715 |
| 0.8238 | 3.0 | 2772 | 0.7327 | 0.6951 |
| 0.6266 | 4.0 | 3696 | 0.6993 | 0.7092 |
| 0.7355 | 5.0 | 4620 | 0.6767 | 0.7220 |
| 0.6356 | 6.0 | 5544 | 0.6627 | 0.7288 |
| 0.6111 | 7.0 | 6468 | 0.6531 | 0.7317 |
| 0.6432 | 8.0 | 7392 | 0.6463 | 0.7355 |
| 0.5597 | 9.0 | 8316 | 0.6435 | 0.7353 |
| 0.7957 | 10.0 | 9240 | 0.6426 | 0.7361 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2