pre-train_mBERTv2 – AI Model by morten-j | AlphaNeural AI

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morten-j/
pre-train_mBERTv2

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google-bert/bert-base-multilingual-cased

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pre-train_mBERTv2

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: 1.3717
Perplexity: 3.94

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: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.4925	1.0	347942	1.3719

Framework versions

Transformers 4.38.2
Pytorch 2.3.0a0+ebedce2
Datasets 2.17.1
Tokenizers 0.15.2