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bert-base-uncased-finetuned-theCapital – AI Model by Sociedade | AlphaNeural AI
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bert-base-uncased-finetuned-theCapital
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transformers
safetensors
bert
fill-mask
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-base-uncased-finetuned-theCapital
This model is a fine-tuned version of
google-bert/bert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6492
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
156
1.7483
1.8864
2.0
313
1.6385
1.8864
2.99
468
1.6339
Framework versions
Transformers 4.38.1
Pytorch 2.2.1+cu118
Datasets 2.17.1
Tokenizers 0.15.2