Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
Plant_Classification_model – AI Model by Professor | AlphaNeural AI
You can deploy this model and start earning money today!
Professor
/
Plant_Classification_model
like
0
transformers
safetensors
vit
image-classification
generated_from_trainer
google/vit-base-patch16-224-in21k
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Plant_Classification_model
This model is a fine-tuned version of
google/vit-base-patch16-224-in21k
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.5007
eval_accuracy: 0.9688
eval_runtime: 0.897
eval_samples_per_second: 71.353
eval_steps_per_second: 8.919
epoch: 8.0
step: 64
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: 1e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 30
Framework versions
Transformers 4.35.2
Pytorch 2.0.0
Datasets 2.15.0
Tokenizers 0.15.0
