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bert-base-cased_ – AI Model by duykha0511 | AlphaNeural AI
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duykha0511
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bert-base-cased_
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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-base-cased_
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: 0.3453
Accuracy: 0.9215
F1: 0.9215
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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.3196
1.0
2493
0.2826
0.9075
0.9074
0.2038
2.0
4986
0.3453
0.9215
0.9215
Framework versions
Transformers 4.40.1
Pytorch 2.2.0+cu121
Datasets 2.17.0
Tokenizers 0.19.1
