---
license: apache-2.0
base_model: OpenGVLab/pvt_v2_b0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: pvt_v2_b0-finetuned-eurosat
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# pvt_v2_b0-finetuned-eurosat

This model is a fine-tuned version of [OpenGVLab/pvt_v2_b0](https://huggingface.co./OpenGVLab/pvt_v2_b0) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4068
- Accuracy: 0.4615

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| No log        | 0.8421 | 4    | 1.4068          | 0.4615   |
| No log        | 1.8947 | 9    | 1.3297          | 0.4615   |
| 1.4031        | 2.5263 | 12   | 1.3203          | 0.4423   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1