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bert-base-enth77-banking-pt2 – AI Model by YUCHUL | AlphaNeural AI
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YUCHUL
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bert-base-enth77-banking-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-enth77-banking-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: 0.3131
F1: 0.9232
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
1.1775
1.0
626
0.8671
0.8176
0.4114
2.0
1252
0.3822
0.9156
0.1987
3.0
1878
0.3131
0.9232
Framework versions
Transformers 4.27.1
Pytorch 2.0.1+cu118
Datasets 2.9.0
Tokenizers 0.13.3
