metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: resnet-50-finetuned-eurosat
results: []
resnet-50-finetuned-eurosat
This model is a fine-tuned version of microsoft/resnet-50 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0706
- Accuracy: 0.5152
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: 20
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
1.6069 | 0.99 | 20 | 1.5839 | 0.3879 |
1.5395 | 1.98 | 40 | 1.4860 | 0.5485 |
1.4321 | 2.96 | 60 | 1.3500 | 0.5364 |
1.3292 | 4.0 | 81 | 1.1826 | 0.5212 |
1.233 | 4.99 | 101 | 1.0706 | 0.5152 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3