Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
MRR_image_classification_dit_29_jan-finetuned – AI Model by am-infoweb | AlphaNeural AI
You can deploy this model and start earning money today!
am-infoweb
/
MRR_image_classification_dit_29_jan-finetuned
like
0
transformers
tensorboard
safetensors
beit
image-classification
generated_from_trainer
imagefolder
microsoft/dit-large
finetune
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
MRR_image_classification_dit_29_jan-finetuned-eurosat
This model is a fine-tuned version of
microsoft/dit-large
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.4995
Accuracy: 0.8250
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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
1.0588
1.0
175
0.8931
0.6622
0.7206
2.0
351
0.6266
0.7774
0.6833
2.99
525
0.4995
0.8250
Framework versions
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
