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bert-f1-durga-muhammad-b – AI Model by devagonal | AlphaNeural AI
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devagonal
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bert-f1-durga-muhammad-b
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transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-multilingual-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-f1-durga-muhammad-b
This model is a fine-tuned version of
google-bert/bert-base-multilingual-cased
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.0000
eval_accuracy: 1.0
eval_precision: 1.0
eval_recall: 1.0
eval_f1: 1.0
eval_runtime: 27.3528
eval_samples_per_second: 36.559
eval_steps_per_second: 1.535
epoch: 68.8095
step: 2890
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: 24
eval_batch_size: 24
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1000
Framework versions
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1
