Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
Plicense_segformer_finetuned – AI Model by khaled5 | AlphaNeural AI
You can deploy this model and start earning money today!
khaled5
/
Plicense_segformer_finetuned
like
0
transformers
tf
segformer
generated_from_keras_callback
nvidia/mit-b0
finetune
other
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
khaled5/Plicense_segformer_finetuned
This model is a fine-tuned version of
nvidia/mit-b0
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.0206
Validation Loss: 0.0222
Epoch: 9
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:
optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 6e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
0.0588
0.0296
0
0.0316
0.0273
1
0.0280
0.0259
2
0.0263
0.0238
3
0.0270
0.0236
4
0.0238
0.0219
5
0.0232
0.0213
6
0.0226
0.0204
7
0.0212
0.0201
8
0.0206
0.0222
9
Framework versions
Transformers 4.37.2
TensorFlow 2.15.0
Tokenizers 0.15.2
