distilbert-base-uncased-finetuned-cola – AI Model by anblaca | AlphaNeural AI

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anblaca/
distilbert-base-uncased-finetuned-cola

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text-classification

generated_from_keras_callback

autotrain_compatible

endpoints_compatible

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anblaca/distilbert-base-uncased-finetuned-cola

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: 0.0554
Validation Loss: 0.7352
Train Matthews Correlation: 0.5527
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: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 5340, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Validation Loss	Train Matthews Correlation	Epoch
0.5340	0.4729	0.4572	0
0.3683	0.4697	0.4962	1
0.2461	0.4949	0.5198	2
0.1779	0.5853	0.5147	3
0.1329	0.6182	0.5169	4
0.1060	0.6323	0.5533	5
0.0792	0.6943	0.5335	6
0.0738	0.6713	0.5448	7
0.0582	0.7277	0.5492	8
0.0554	0.7352	0.5527	9

Framework versions

Transformers 4.26.1
TensorFlow 2.11.0
Datasets 2.9.0
Tokenizers 0.13.2