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distilbert-base-uncased-finetuned-sst2 – AI Model by Anthos23 | AlphaNeural AI
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Anthos23
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distilbert-base-uncased-finetuned-sst2
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transformers
tf
tensorboard
distilbert
text-classification
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Anthos23/distilbert-base-uncased-finetuned-sst2
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: 0.0662
Validation Loss: 0.2623
Train Accuracy: 0.9083
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', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 21045, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, '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
0.2101
0.2373
0.9083
0
0.1065
0.2645
0.9060
1
0.0662
0.2623
0.9083
2
Framework versions
Transformers 4.17.0.dev0
TensorFlow 2.5.0
Datasets 1.18.3
Tokenizers 0.11.0
