metadata

license: apache-2.0
base_model: facebook/convnext-base-224-22k-1k
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: convnext-base-224-22k-1k-finetuned-eurosat
    results: []

convnext-base-224-22k-1k-finetuned-eurosat

This model is a fine-tuned version of facebook/convnext-base-224-22k-1k on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4190
Accuracy: 0.8483

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
0.6643	0.99	70	0.6090	0.7754
0.4729	2.0	141	0.4641	0.8253
0.3858	2.98	210	0.4190	0.8483

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1