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bert-fintuned-classification – AI Model by noobiebuilder | AlphaNeural AI
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bert-fintuned-classification
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-fintuned-classification
This model is a fine-tuned version of
bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.8246
Accuracy: 0.6533
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: 2e-05
train_batch_size: 4
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
Accuracy
0.7446
1.0
4030
0.8818
0.6436
0.6034
2.0
8060
1.2037
0.6589
0.4216
3.0
12090
1.8246
0.6533
Framework versions
Transformers 4.42.4
Pytorch 2.2.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
