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bert-base-banking77-pt2 – AI Model by Tingli | AlphaNeural AI
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Tingli
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bert-base-banking77-pt2
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
banking77
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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bert-base-banking77-pt2
This model is a fine-tuned version of
bert-base-uncased
on the banking77 dataset. It achieves the following results on the evaluation set:
Loss: 0.2982
F1: 0.9292
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:
learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
1.0831
1.0
626
0.8018
0.8336
0.381
2.0
1252
0.3600
0.9206
0.1832
3.0
1878
0.2982
0.9292
Framework versions
Transformers 4.27.1
Pytorch 2.0.0+cu118
Datasets 2.9.0
Tokenizers 0.13.3
