Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilbert-base-uncased-finetuned-ner-conll2003_100train – AI Model by silviacamplani | AlphaNeural AI
You can deploy this model and start earning money today!
silviacamplani
/
distilbert-base-uncased-finetuned-ner-conll2003_100train
like
0
transformers
tf
tensorboard
distilbert
token-classification
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
silviacamplani/distilbert-base-uncased-finetuned-ner-conll2003_100train
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: 1.4072
Validation Loss: 1.4582
Train Precision: 0.0
Train Recall: 0.0
Train F1: 0.0
Train Accuracy: 0.7920
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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 18, '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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
training_precision: mixed_float16
Training results
Train Loss
Validation Loss
Train Precision
Train Recall
Train F1
Train Accuracy
Epoch
2.0837
1.8526
0.0013
0.0015
0.0014
0.7006
0
1.6450
1.5672
0.0
0.0
0.0
0.7916
1
1.4072
1.4582
0.0
0.0
0.0
0.7920
2
Framework versions
Transformers 4.20.1
TensorFlow 2.6.4
Datasets 2.1.0
Tokenizers 0.12.1
