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mWACH_mBERT_System – AI Model by Narshion | AlphaNeural AI
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mWACH_mBERT_System
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transformers
pytorch
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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This model is a fine-tuned version of
bert-base-multilingual-cased
on mWACH NEO dataset. It achieves the following results on the evaluation set:
Loss: 1.6344
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: 5e-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: 5.0
Training results
Framework versions
Transformers 4.12.4
Pytorch 1.10.0+cu111
Datasets 1.15.1
Tokenizers 0.10.3
