p4_model – AI Model by Legendleads | AlphaNeural AI | AlphaNeural AI

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Legendleads/
p4_model

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token-classification

generated_from_keras_callback

autotrain_compatible

endpoints_compatible

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Legendleads/p4_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: 0.1334
Validation Loss: 0.1298
Train Precision: 0.4545
Train Recall: 0.4969
Train F1: 0.4748
Train Accuracy: 0.9589
Epoch: 4

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': 1218, '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
0.3886	0.2033	0.2760	0.3292	0.3003	0.9494	0
0.1940	0.1394	0.4620	0.4907	0.4759	0.9572	1
0.1445	0.1298	0.4545	0.4969	0.4748	0.9589	2
0.1326	0.1298	0.4545	0.4969	0.4748	0.9589	3
0.1334	0.1298	0.4545	0.4969	0.4748	0.9589	4

Framework versions

Transformers 4.28.1
TensorFlow 2.12.0
Datasets 2.11.0
Tokenizers 0.13.3