Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
FirstModel – AI Model by LexFerrinson | AlphaNeural AI
You can deploy this model and start earning money today!
LexFerrinson
/
FirstModel
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
LexFerrinson/FirstModel
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: 0.1082
Validation Loss: 0.2602
Train Precision: 0.6351
Train Recall: 0.4246
Train F1: 0.5090
Train Accuracy: 0.9461
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 636, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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
0.1094
0.2602
0.6351
0.4246
0.5090
0.9461
0
0.1080
0.2602
0.6351
0.4246
0.5090
0.9461
1
0.1082
0.2602
0.6351
0.4246
0.5090
0.9461
2
Framework versions
Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.1
Tokenizers 0.15.1
