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bert-base-th-cased-intent-booking – AI Model by Porameht | AlphaNeural AI
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Porameht
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bert-base-th-cased-intent-booking
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transformers
safetensors
bert
text-classification
generated_from_trainer
Geotrend/bert-base-th-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-base-th-cased-intent-booking
This model is a fine-tuned version of
Geotrend/bert-base-th-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2707
Accuracy: 0.9234
F1: 0.9209
Precision: 0.9322
Recall: 0.9234
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
1.8845
1.0
65
0.6954
0.9144
0.9139
0.9169
0.9144
0.446
2.0
130
0.2283
0.9279
0.9289
0.9327
0.9279
0.1807
3.0
195
0.2037
0.9505
0.9506
0.9568
0.9505
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
