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pvt_v2_b0-finetuned-eurosat – AI Model by Augusto777 | AlphaNeural AI
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Augusto777
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pvt_v2_b0-finetuned-eurosat
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tensorboard
safetensors
pvt_v2
generated_from_trainer
OpenGVLab/pvt_v2_b0
finetune
apache-2.0
us
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pvt_v2_b0-finetuned-eurosat
This model is a fine-tuned version of
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
