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twitch-distilbert-base-uncased-finetuned-sst-2-english – AI Model by veb | AlphaNeural AI
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veb
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twitch-distilbert-base-uncased-finetuned-sst-2-english
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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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veb/twitch-distilbert-base-uncased-finetuned-sst-2-english
This model is a fine-tuned version of
distilbert-base-uncased-finetuned-sst-2-english
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.3074
Train Sparse Categorical Accuracy: 0.9219
Validation Loss: 0.1151
Validation Sparse Categorical Accuracy: 1.0
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': 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
Train Sparse Categorical Accuracy
Validation Loss
Validation Sparse Categorical Accuracy
Epoch
1.0992
0.6094
0.3072
1.0
0
0.3921
0.7812
0.2903
1.0
1
0.3074
0.9219
0.1151
1.0
2
Framework versions
Transformers 4.19.2
TensorFlow 2.7.0
Datasets 2.2.2
Tokenizers 0.12.1
