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pre-train_mBERT – AI Model by morten-j | AlphaNeural AI
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pre-train_mBERT
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transformers
tensorboard
safetensors
bert
fill-mask
generated_from_trainer
google-bert/bert-base-multilingual-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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pre-train_mBERT
This model is a fine-tuned version of
google-bert/bert-base-multilingual-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.1971
Perplexity 3.31
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=(0.9,0.98) 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
1.4994
1.0
368814
1.3694
1.3718
2.0
737628
1.2540
1.2979
3.0
1106442
1.1986
Framework versions
Transformers 4.38.2
Pytorch 2.3.0a0+ebedce2
Datasets 2.17.1
Tokenizers 0.15.2
