metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: 2-classifier-finetuned-padchest
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: 0.6888217522658611
2-classifier-finetuned-padchest
This model is a fine-tuned version of nickmuchi/vit-finetuned-chest-xray-pneumonia on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.0461
- Accuracy: 0.6888
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|---|---|---|---|---|
| 2.0026 | 1.0 | 16 | 1.7223 | 0.4320 |
| 1.5584 | 2.0 | 32 | 1.4524 | 0.5619 |
| 1.454 | 3.0 | 48 | 1.3117 | 0.6073 |
| 1.2664 | 4.0 | 64 | 1.2396 | 0.5921 |
| 1.1593 | 5.0 | 80 | 1.1685 | 0.6435 |
| 1.127 | 6.0 | 96 | 1.1092 | 0.6556 |
| 1.0612 | 7.0 | 112 | 1.0907 | 0.6798 |
| 1.0467 | 8.0 | 128 | 1.0597 | 0.6737 |
| 1.0069 | 9.0 | 144 | 1.0557 | 0.6767 |
| 1.0014 | 10.0 | 160 | 1.0461 | 0.6888 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.18.0
- Tokenizers 0.13.3