Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
my_awesome_wnut_model – AI Model by goat923 | AlphaNeural AI
You can deploy this model and start earning money today!
goat923
/
my_awesome_wnut_model
like
0
transformers
tf
distilbert
token-classification
generated_from_keras_callback
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
goat923/my_awesome_wnut_model
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.1165
Validation Loss: 0.2494
Train Precision: 0.6287
Train Recall: 0.4557
Train F1: 0.5284
Train Accuracy: 0.9482
Epoch: 2
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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 636, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Train Precision
Train Recall
Train F1
Train Accuracy
Epoch
0.3527
0.3075
0.3319
0.0945
0.1471
0.9281
0
0.1583
0.2594
0.5886
0.4211
0.4909
0.9455
1
0.1165
0.2494
0.6287
0.4557
0.5284
0.9482
2
Framework versions
Transformers 4.32.1
TensorFlow 2.12.0
Datasets 2.14.4
Tokenizers 0.13.3
