bert-finetuned-for-three-epoch_for_3 – AI Model by HASAN55 | AlphaNeural AI | AlphaNeural AI

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HASAN55/
bert-finetuned-for-three-epoch_for_3

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HASAN55/bert-finetuned-for-three-epoch_for_3

This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.7856
Train End Logits Accuracy: 0.7787
Train Start Logits Accuracy: 0.7388
Validation Loss: 0.9832
Validation End Logits Accuracy: 0.7376
Validation Start Logits Accuracy: 0.7047
Epoch: 1

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': 11090, '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: mixed_float16

Training results

Train Loss	Train End Logits Accuracy	Train Start Logits Accuracy	Validation Loss	Validation End Logits Accuracy	Validation Start Logits Accuracy	Epoch
1.2785	0.6616	0.6243	0.9930	0.7289	0.6956	0
0.7856	0.7787	0.7388	0.9832	0.7376	0.7047	1

Framework versions

Transformers 4.27.4
TensorFlow 2.12.0
Datasets 2.11.0
Tokenizers 0.13.3