Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilbert-uncase-direct-finetuning-ai-ner_3labels – AI Model by silviacamplani | AlphaNeural AI
You can deploy this model and start earning money today!
silviacamplani
/
distilbert-uncase-direct-finetuning-ai-ner_3labels
like
0
transformers
tf
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-uncase-direct-finetuning-ai-ner_3labels
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: 0.6593
Validation Loss: 0.6130
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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 60, '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
Epoch
1.9721
1.8113
0
1.6564
1.5052
1
1.3640
1.2332
2
1.1078
0.9996
3
0.9158
0.8249
4
0.7850
0.7188
5
0.7135
0.6595
6
0.6822
0.6310
7
0.6394
0.6171
8
0.6593
0.6130
9
Framework versions
Transformers 4.20.1
TensorFlow 2.6.4
Datasets 2.1.0
Tokenizers 0.12.1
