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test-ner – AI Model by Nattametee01 | AlphaNeural AI
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test-ner
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transformers
tensorboard
safetensors
bert
token-classification
generated_from_trainer
lst20
Geotrend/bert-base-th-cased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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test-ner
This model is a fine-tuned version of
Geotrend/bert-base-th-cased
on the lst20 dataset. It achieves the following results on the evaluation set:
Loss: 0.1910
Precision: 0.8147
Recall: 0.8409
F1: 0.8276
Accuracy: 0.9379
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.1623
1.0
3957
0.1910
0.8147
0.8409
0.8276
0.9379
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
