|
--- |
|
library_name: transformers |
|
license: apache-2.0 |
|
base_model: timm/resnet18.a1_in1k |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: vit-base-beans |
|
results: [] |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# vit-base-beans |
|
|
|
This model is a fine-tuned version of [timm/resnet18.a1_in1k](https://huggingface.co/timm/resnet18.a1_in1k) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.0324 |
|
- Accuracy: 0.6917 |
|
|
|
## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 5.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 1.0884 | 1.0 | 130 | 1.0903 | 0.4060 | |
|
| 1.0721 | 2.0 | 260 | 1.0681 | 0.5188 | |
|
| 1.0623 | 3.0 | 390 | 1.0460 | 0.6391 | |
|
| 1.052 | 4.0 | 520 | 1.0410 | 0.6165 | |
|
| 1.0519 | 5.0 | 650 | 1.0324 | 0.6917 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.46.0.dev0 |
|
- Pytorch 2.4.0 |
|
- Datasets 2.15.1.dev0 |
|
- Tokenizers 0.20.0 |
|
|
