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albert-base-v2-SST2-incremental_pre_training – AI Model by xinyixiuxiu | AlphaNeural AI
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albert-base-v2-SST2-incremental_pre_training
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transformers
tf
albert
text-classification
generated_from_keras_callback
autotrain_compatible
endpoints_compatible
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xinyixiuxiu/albert-base-v2-SST2-incremental_pre_training
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.1124
Train Accuracy: 0.9606
Validation Loss: 0.2290
Validation Accuracy: 0.9106
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': 1e-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 Accuracy
Validation Loss
Validation Accuracy
Epoch
0.2793
0.8841
0.2209
0.9197
0
0.1514
0.9449
0.2252
0.9094
1
0.1124
0.9606
0.2290
0.9106
2
Framework versions
Transformers 4.28.1
TensorFlow 2.7.0
Datasets 2.10.1
Tokenizers 0.12.1
