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emotion-analysis-with-distilbert – AI Model by Seher99 | AlphaNeural AI
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Seher99
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emotion-analysis-with-distilbert
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transformers
tf
distilbert
text-classification
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Seher99/emotion-analysis-with-distilbert
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: 0.3838
Validation Loss: 0.1765
Train Accuracy: 0.933
Epoch: 0
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', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Validation Loss
Train Accuracy
Epoch
0.3838
0.1765
0.933
0
Framework versions
Transformers 4.28.0
TensorFlow 2.10.1
Datasets 2.16.1
Tokenizers 0.13.3
