---
library_name: transformers
license: apache-2.0
base_model: microsoft/swinv2-base-patch4-window16-256
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: swinv2-plantclef-1k
  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. -->

# swinv2-plantclef-1k

This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window16-256](https://huggingface.co/microsoft/swinv2-base-patch4-window16-256) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2482
- Accuracy: 0.7565
- F1: 0.7560

## 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
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:------:|:---------------:|:--------:|:------:|
| 1.6253        | 1.0   | 11441  | 1.4319          | 0.6419   | 0.6402 |
| 1.1142        | 2.0   | 22882  | 1.1573          | 0.7031   | 0.7021 |
| 0.8357        | 3.0   | 34323  | 1.0814          | 0.7228   | 0.7235 |
| 0.604         | 4.0   | 45764  | 1.1028          | 0.7323   | 0.7312 |
| 0.3991        | 5.0   | 57205  | 1.1261          | 0.7373   | 0.7371 |
| 0.2405        | 6.0   | 68646  | 1.1802          | 0.7373   | 0.7377 |
| 0.1543        | 7.0   | 80087  | 1.2014          | 0.7453   | 0.7450 |
| 0.097         | 8.0   | 91528  | 1.2337          | 0.7474   | 0.7472 |
| 0.054         | 9.0   | 102969 | 1.2416          | 0.7532   | 0.7529 |
| 0.0414        | 10.0  | 114410 | 1.2482          | 0.7565   | 0.7560 |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.0
- Datasets 3.1.0
- Tokenizers 0.20.1