Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
albert-base-v2-SST2-finetuned – AI Model by xinyixiuxiu | AlphaNeural AI
You can deploy this model and start earning money today!
xinyixiuxiu
/
albert-base-v2-SST2-finetuned
like
0
transformers
tf
albert
text-classification
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
xinyixiuxiu/albert-base-v2-SST2-finetuned
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: 0.1015
Train Accuracy: 0.9646
Validation Loss: 0.2434
Validation Accuracy: 0.9117
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
0.2285
0.9108
0.2203
0.9060
0
0.1356
0.9513
0.2264
0.9083
1
0.1015
0.9646
0.2434
0.9117
2
Framework versions
Transformers 4.21.1
TensorFlow 2.7.0
Datasets 2.10.1
Tokenizers 0.12.1
