financial_text_sentiment_classification_model – AI Model by loony-huggingface | AlphaNeural AI

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loony-huggingface/
financial_text_sentiment_classification_model

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text-classification

generated_from_keras_callback

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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loony-huggingface/financial_text_sentiment_classification_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: 0.1621
Validation Loss: 0.5076
Train Accuracy: 0.7707
Epoch: 8

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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1460, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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
0.1909	0.4982	0.7784	0
0.1684	0.5076	0.7707	1
0.1589	0.5076	0.7707	2
0.1625	0.5076	0.7707	3
0.1617	0.5076	0.7707	4
0.1626	0.5076	0.7707	5
0.1644	0.5076	0.7707	6
0.1617	0.5076	0.7707	7
0.1621	0.5076	0.7707	8

Framework versions

Transformers 4.42.4
TensorFlow 2.15.0
Datasets 2.20.0
Tokenizers 0.19.1