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albert-base-v2-SST2-finetuned-try – AI Model by xinyixiuxiu | AlphaNeural AI | AlphaNeural AI
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xinyixiuxiu
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albert-base-v2-SST2-finetuned-try
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transformers
tf
albert
text-classification
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
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xinyixiuxiu/albert-base-v2-SST2-finetuned-try
This model is a fine-tuned version of
albert-base-v2
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.2727
Train Accuracy: 0.8880
Validation Loss: 0.4356
Validation Accuracy: 0.8349
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', '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
0.6649
0.5880
0.5779
0.7534
0
0.4569
0.8060
0.3749
0.8658
1
0.3264
0.8730
0.3876
0.8429
2
0.2727
0.8880
0.4356
0.8349
3
Framework versions
Transformers 4.21.1
TensorFlow 2.7.0
Datasets 2.10.1
Tokenizers 0.12.1
