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bert-base-cased_K2 – AI Model by dtorber | AlphaNeural AI
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dtorber
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bert-base-cased_K2
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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_K2
This model is a fine-tuned version of
google-bert/bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8336
F1 Macro: 0.8743
F1: 0.9169
F1 Neg: 0.8318
Acc: 0.8888
Prec: 0.8976
Recall: 0.9370
Mcc: 0.7505
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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.16.1
Tokenizers 0.15.2
