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bert-base-banking77-pt2 – AI Model by intelshashi | AlphaNeural AI
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intelshashi
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bert-base-banking77-pt2
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
imdb
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 imdb dataset. It achieves the following results on the evaluation set:
Loss: 0.2182
F1: 0.9167
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
0.2294
1.0
1563
0.2206
0.9148
0.1306
2.0
3126
0.2202
0.9156
0.0256
3.0
4689
0.2182
0.9167
Framework versions
Transformers 4.27.1
Pytorch 2.0.1+cu117
Datasets 2.9.0
Tokenizers 0.13.3
