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Nelver28/
sentiment-analysis-positive-mixed-negative

Name: sentiment-analysis-positive-mixed-negative
Availability: InStock

transformers

distilbert

text-classification

generated_from_keras_callback

apache-2.0

autotrain_compatible

endpoints_compatible

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Nelver28/my_awesome_model

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

Train Loss: 0.5488
Validation Loss: 0.6648
Train Accuracy: 0.708
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': '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': 5e-05, 'decay_steps': 1500, '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 Accuracy	Epoch
0.7744	0.6695	0.699	0
0.5488	0.6648	0.708	1

Framework versions

Transformers 4.30.1
TensorFlow 2.12.0
Datasets 2.12.0
Tokenizers 0.13.3

Nelver28/sentiment-analysis-positive-mixed-negative

Nelver28/my_awesome_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Nelver28/
sentiment-analysis-positive-mixed-negative