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distilbert-base-uncased-tweets – AI Model by eduardopds | AlphaNeural AI
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eduardopds
/
distilbert-base-uncased-tweets
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0
transformers
tf
distilbert
text-classification
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
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eduardopds/distilbert-base-uncased-tweets
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: 0.7428
Validation Loss: 0.9322
Epoch: 9
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': 310, '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
Epoch
1.0162
1.0010
0
0.9552
0.9574
1
0.8928
0.9393
2
0.8238
0.9412
3
0.7581
0.9322
4
0.7268
0.9322
5
0.7310
0.9322
6
0.7390
0.9322
7
0.7423
0.9322
8
0.7428
0.9322
9
Framework versions
Transformers 4.19.2
TensorFlow 2.8.0
Datasets 2.2.2
Tokenizers 0.12.1
