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multilingual_bengali_SEQUENCE_classification_model – AI Model by Cabooose | AlphaNeural AI
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multilingual_bengali_SEQUENCE_classification_model
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transformers
pytorch
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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multilingual_bengali_SEQUENCE_classification_model
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: 0.3946
Precision: 0.8125
Recall: 0.9286
F1: 0.8667
Accuracy: 0.8571
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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
299
0.3803
0.7939
0.9286
0.8560
0.8438
0.353
2.0
598
0.3946
0.8125
0.9286
0.8667
0.8571
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
