metadata
license: apache-2.0
tags:
- image-classification
- generated_from_trainer
metrics:
- f1
model-index:
- name: vit_tickers_binaryclf
results: []
vit_tickers_binaryclf
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the cord dataset. It achieves the following results on the evaluation set:
- Loss: 0.0116
- F1: 0.9991
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.0026 | 0.28 | 500 | 0.0187 | 0.9982 |
| 0.0186 | 0.56 | 1000 | 0.0116 | 0.9991 |
| 0.0006 | 0.84 | 1500 | 0.0044 | 0.9997 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.11.0+cu102
- Datasets 2.4.0
- Tokenizers 0.12.1