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---
license: apache-2.0
base_model: juniorjukeko/img_class_beans
tags:
- generated_from_trainer
datasets:
- beans
metrics:
- accuracy
model-index:
- name: img_class_beans
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: beans
type: beans
config: default
split: train
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.972972972972973
---
<!-- 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. -->
# img_class_beans
This model is a fine-tuned version of [juniorjukeko/img_class_beans](https://huggingface.co/juniorjukeko/img_class_beans) on the beans dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1220
- Accuracy: 0.9730
## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 143
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1122 | 0.98 | 12 | 0.1660 | 0.9575 |
| 0.1356 | 1.96 | 24 | 0.1977 | 0.9421 |
| 0.0889 | 2.94 | 36 | 0.1504 | 0.9421 |
| 0.0793 | 4.0 | 49 | 0.1477 | 0.9575 |
| 0.0578 | 4.98 | 61 | 0.1320 | 0.9653 |
| 0.0514 | 5.96 | 73 | 0.1163 | 0.9730 |
| 0.0592 | 6.94 | 85 | 0.1363 | 0.9653 |
| 0.0532 | 8.0 | 98 | 0.1837 | 0.9382 |
| 0.0555 | 8.98 | 110 | 0.1400 | 0.9614 |
| 0.0723 | 9.8 | 120 | 0.1220 | 0.9730 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
|