metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
datasets:
- smokedataset
metrics:
- accuracy
model-index:
- name: smoke_detector
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: smokedataset
type: smokedataset
config: default
split: train
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.9951117318435754
smoke_detector
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the smokedataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.0187
- Accuracy: 0.9951
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: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1404 | 1.0 | 716 | 0.0396 | 0.9902 |
| 0.0493 | 2.0 | 1432 | 0.0337 | 0.9920 |
| 0.0237 | 3.0 | 2148 | 0.0263 | 0.9934 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0