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bertweet-base-finetuned-2-ref_disam – AI Model by YSKartal | AlphaNeural AI
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YSKartal
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bertweet-base-finetuned-2-ref_disam
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transformers
tf
tensorboard
roberta
text-classification
generated_from_keras_callback
autotrain_compatible
endpoints_compatible
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YSKartal/bertweet-base-finetuned-2-ref_disam
This model is a fine-tuned version of
vinai/bertweet-base
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 5.0043
Validation Loss: 6.1571
Train Accuracy: 0.0468
Epoch: 3
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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 16308, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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
6.2549
6.7603
0.0191
0
5.7374
6.4441
0.0316
1
5.3233
6.2700
0.0428
2
5.0043
6.1571
0.0468
3
Framework versions
Transformers 4.27.4
TensorFlow 2.12.0
Datasets 2.11.0
Tokenizers 0.13.3
