metadata
license: apache-2.0
base_model: microsoft/swinv2-base-patch4-window12to16-192to256-22kto1k-ft
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 1_lakh_cards-swinv2-base-patch4-window12to16-192to256-22kto1k-ft-finetuned
results: []
1_lakh_cards-swinv2-base-patch4-window12to16-192to256-22kto1k-ft-finetuned
This model is a fine-tuned version of microsoft/swinv2-base-patch4-window12to16-192to256-22kto1k-ft on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4853
- Accuracy: 0.3370
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: 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 |
|---|---|---|---|---|
| 1.5715 | 1.0000 | 6051 | 2.0155 | 0.2758 |
| 1.6433 | 1.9999 | 12102 | 2.2641 | 0.2734 |
| 1.6866 | 2.9999 | 18153 | 2.1140 | 0.2888 |
| 1.5693 | 4.0 | 24205 | 2.2003 | 0.3066 |
| 1.5371 | 5.0000 | 30256 | 2.2069 | 0.2968 |
| 1.4969 | 5.9999 | 36307 | 2.1547 | 0.3296 |
| 1.4368 | 6.9999 | 42358 | 2.2579 | 0.3250 |
| 1.3077 | 8.0 | 48410 | 2.2327 | 0.3360 |
| 1.3775 | 9.0000 | 54461 | 2.3860 | 0.3400 |
| 1.3595 | 9.9996 | 60510 | 2.4853 | 0.3370 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.0.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1