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bert-base-multilingual-cased-intent-booking – AI Model by Porameht | AlphaNeural AI
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Porameht
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bert-base-multilingual-cased-intent-booking
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transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-multilingual-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-base-multilingual-cased-intent-booking
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: 0.3045
Accuracy: 0.9189
F1: 0.9155
Precision: 0.9322
Recall: 0.9189
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: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 64
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
2.246
1.0
65
1.7430
0.4730
0.3680
0.3529
0.4730
0.972
2.0
130
0.3620
0.9369
0.9371
0.9417
0.9369
0.3069
3.0
195
0.2379
0.9414
0.9412
0.9490
0.9414
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
