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bert_large – AI Model by Stephanie-S | AlphaNeural AI
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Stephanie-S
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bert_large
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transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-large-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert_large
This model is a fine-tuned version of
google-bert/bert-large-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2030
Accuracy: 0.9472
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: 16
eval_batch_size: 16
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
0.2284
1.0
1250
0.1660
0.9418
0.1115
2.0
2500
0.2030
0.9472
Framework versions
Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
