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thai_pos_test – AI Model by lunarlist | AlphaNeural AI
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thai_pos_test
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transformers
pytorch
bert
token-classification
generated_from_trainer
Geotrend/bert-base-th-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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my_awesome_wnut_model
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: 0.0923
Precision: 0.9514
Recall: 0.9528
F1: 0.9521
Accuracy: 0.9691
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=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.1165
1.0
7344
0.1072
0.9459
0.9454
0.9456
0.9653
0.0882
2.0
14688
0.0923
0.9514
0.9528
0.9521
0.9691
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1