metadata
library_name: transformers
license: apache-2.0
base_model: timm/resnet18.a1_in1k
tags:
- image-classification
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vit-base-beans
results: []
vit-base-beans
This model is a fine-tuned version of timm/resnet18.a1_in1k on the beans dataset. It achieves the following results on the evaluation set:
- Loss: 1.0332
- Accuracy: 0.6767
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: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0881 | 1.0 | 130 | 1.0902 | 0.4135 |
| 1.0716 | 2.0 | 260 | 1.0685 | 0.5038 |
| 1.061 | 3.0 | 390 | 1.0459 | 0.6241 |
| 1.0514 | 4.0 | 520 | 1.0407 | 0.6015 |
| 1.05 | 5.0 | 650 | 1.0332 | 0.6767 |
Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu118
- Datasets 2.21.0
- Tokenizers 0.20.0