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mytt – AI Model by xanore | AlphaNeural AI
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mytt
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
banking77
philschmid/BERT-Banking77
finetune
model-index
autotrain_compatible
endpoints_compatible
us
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mytt
This model is a fine-tuned version of
philschmid/BERT-Banking77
on the banking77 dataset. It achieves the following results on the evaluation set:
Loss: 0.3773
F1: 0.9341
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
0.6045
1.0
626
0.4252
0.9146
0.1566
2.0
1252
0.3960
0.9289
0.0664
3.0
1878
0.3773
0.9341
Framework versions
Transformers 4.36.2
Pytorch 2.1.1+cu121
Datasets 2.14.6
Tokenizers 0.15.0
