---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# etsy-room-classifier

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/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