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bert_test_4 – AI Model by kernelpult | AlphaNeural AI
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kernelpult
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bert_test_4
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert_test_4
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: 0.5364
F1: 0.8370
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
F1
1.1122
1.0
341
0.5364
0.8370
Framework versions
Transformers 4.27.1
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.13.3
