|
--- |
|
tags: |
|
- image-classification |
|
- timm |
|
- generated_from_trainer |
|
datasets: |
|
- beans |
|
metrics: |
|
- accuracy |
|
model_index: |
|
- name: timm-resnet18-beans-test-2 |
|
results: |
|
- task: |
|
name: Image Classification |
|
type: image-classification |
|
dataset: |
|
name: beans |
|
type: beans |
|
args: default |
|
metric: |
|
name: Accuracy |
|
type: accuracy |
|
value: 0.5789473684210527 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# timm-resnet18-beans-test-2 |
|
|
|
This model is a fine-tuned version of [resnet18](https://huggingface.co/resnet18) on the beans dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.3225 |
|
- Accuracy: 0.5789 |
|
|
|
## 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: 4 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- training_steps: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.2601 | 0.02 | 5 | 2.8349 | 0.5113 | |
|
| 1.8184 | 0.04 | 10 | 1.3225 | 0.5789 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.9.1 |
|
- Pytorch 1.9.0 |
|
- Datasets 1.11.1.dev0 |
|
- Tokenizers 0.10.3 |
|
|
