metadata
tags:
- image-classification
- timm
- generated_from_trainer
datasets:
- beans
model-index:
- name: model
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: beans
type: beans
args: default
library_tag: timm
model
This model is a fine-tuned version of resnet18 on the beans dataset. It achieves the following results on the evaluation set:
- Loss: 1.0219
- Acc1: 56.3910
- Acc5: 100.0
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 20
Training results
Framework versions
- Transformers 4.10.2
- Pytorch 1.7.1
- Datasets 1.12.1
- Tokenizers 0.10.3