metadata
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: etsy-room-classifier
results: []
etsy-room-classifier
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5172
- Accuracy: 0.8614
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 2025
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.9286 | 1.0 | 90 | 1.8959 | 0.4785 |
| 1.3979 | 2.0 | 180 | 1.3772 | 0.7393 |
| 1.0135 | 3.0 | 270 | 1.0012 | 0.7987 |
| 0.8192 | 4.0 | 360 | 0.8217 | 0.8284 |
| 0.7478 | 5.0 | 450 | 0.7445 | 0.8251 |
| 0.6672 | 6.0 | 540 | 0.7037 | 0.8383 |
| 0.6584 | 7.0 | 630 | 0.6666 | 0.8449 |
| 0.5567 | 8.0 | 720 | 0.6131 | 0.8548 |
| 0.617 | 9.0 | 810 | 0.5836 | 0.8515 |
| 0.4916 | 10.0 | 900 | 0.5588 | 0.8713 |
| 0.5411 | 11.0 | 990 | 0.5741 | 0.8383 |
| 0.5194 | 12.0 | 1080 | 0.5511 | 0.8548 |
| 0.484 | 13.0 | 1170 | 0.5406 | 0.8614 |
| 0.4906 | 14.0 | 1260 | 0.5187 | 0.8482 |
| 0.4461 | 15.0 | 1350 | 0.4862 | 0.8812 |
| 0.408 | 16.0 | 1440 | 0.5168 | 0.8746 |
| 0.465 | 17.0 | 1530 | 0.4795 | 0.8746 |
| 0.4229 | 18.0 | 1620 | 0.5314 | 0.8482 |
| 0.4614 | 19.0 | 1710 | 0.5498 | 0.8383 |
| 0.4443 | 20.0 | 1800 | 0.5172 | 0.8614 |
Framework versions
- Transformers 4.54.1
- Pytorch 2.3.1+cu121
- Datasets 2.19.1
- Tokenizers 0.21.4