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

You can deploy this model and start earning money today!

aaaririri/
distilbert-base-uncased-finetuned-cola

like

0

text-classification

generated_from_keras_callback

autotrain_compatible

endpoints_compatible

Views

No views yet

aaaririri/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: 0.1971
Validation Loss: 0.5365
Train Matthews Correlation: 0.5219
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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1602, '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
0.5210	0.4488	0.4980	0
0.3234	0.4759	0.4939	1
0.1971	0.5365	0.5219	2

Framework versions

Transformers 4.30.2
TensorFlow 2.12.0
Datasets 2.13.1
Tokenizers 0.13.3