File size: 1,839 Bytes
f5f6a25 03068c7 f5f6a25 03068c7 f5f6a25 8cf51aa f5f6a25 b7ee0a4 f5f6a25 305d097 1d071af f5f6a25 fce23b7 f5f6a25 03068c7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 |
---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
- Remote-Sensing
metrics:
- accuracy
model-index:
- name: Remote-Sensing-Classification-image-classification
results: []
datasets:
- jonathan-roberts1/RSSCN7
---
<!-- 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. -->
# Remote-Sensing-UAV-image-classification
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 [jonathan-roberts1/RSSCN7](https://huggingface.co/datasets/jonathan-roberts1/RSSCN7) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0593
- Accuracy: 0.9907
## 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: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3922 | 0.71 | 100 | 0.4227 | 0.8821 |
| 0.2986 | 1.43 | 200 | 0.3142 | 0.9089 |
| 0.1109 | 2.14 | 300 | 0.2056 | 0.9518 |
| 0.0864 | 2.86 | 400 | 0.2472 | 0.9375 |
| 0.0193 | 3.57 | 500 | 0.0593 | 0.9907 |
### Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1 |