metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: convnext-tiny-224-drfx-surgery-classifier
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: train
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.875
convnext-tiny-224-drfx-surgery-classifier
This model is a fine-tuned version of facebook/convnext-tiny-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.6160
- Accuracy: 0.875
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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 4 | 0.7140 | 0.375 |
| No log | 2.0 | 8 | 0.6876 | 0.5 |
| 0.7104 | 3.0 | 12 | 0.6666 | 0.625 |
| 0.7104 | 4.0 | 16 | 0.6495 | 0.6875 |
| 0.6567 | 5.0 | 20 | 0.6360 | 0.75 |
| 0.6567 | 6.0 | 24 | 0.6247 | 0.8125 |
| 0.6567 | 7.0 | 28 | 0.6160 | 0.875 |
| 0.6277 | 8.0 | 32 | 0.6098 | 0.875 |
| 0.6277 | 9.0 | 36 | 0.6058 | 0.875 |
| 0.6122 | 10.0 | 40 | 0.6043 | 0.875 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3