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banking77_1 – AI Model by johnjrhunglin | AlphaNeural AI
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banking77_1
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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banking77_1
This model is a fine-tuned version of
bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4953
F1: 0.9127
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: 32
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
3.6725
1.0
313
1.5793
0.6982
0.8968
2.0
626
0.6623
0.8843
0.5473
3.0
939
0.4953
0.9127
Framework versions
Transformers 4.46.3
Pytorch 2.4.1+cu118
Datasets 3.1.0
Tokenizers 0.20.3
