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bert-base-multilingual-cased-finetuned – AI Model by am-shb | AlphaNeural AI
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bert-base-multilingual-cased-finetuned
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transformers
pytorch
bert
fill-mask
generated_from_trainer
autotrain_compatible
endpoints_compatible
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This model is a fine-tuned version of
bert-base-multilingual-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.4779
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: 12
eval_batch_size: 16
seed: 1337
gradient_accumulation_steps: 2
total_train_batch_size: 24
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Framework versions
Transformers 4.11.2
Pytorch 1.10.0
Datasets 1.8.0
Tokenizers 0.10.3
