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pap_bert – AI Model by biblo0507 | AlphaNeural AI
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biblo0507
/
pap_bert
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transformers
safetensors
bert
generated_from_trainer
skt/kobert-base-v1
finetune
endpoints_compatible
us
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pap_bert
This model is a fine-tuned version of
skt/kobert-base-v1
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1614
F1: 0.0
Precision: 0.0
Recall: 0.0
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Precision
Recall
0.1962
1.0
90
0.1800
0.0
0.0
0.0
0.1693
2.0
180
0.1621
0.0
0.0
0.0
0.1674
3.0
270
0.1615
0.0
0.0
0.0
0.1709
4.0
360
0.1614
0.0
0.0
0.0
0.167
5.0
450
0.1614
0.0
0.0
0.0
Framework versions
Transformers 4.50.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.4.1
Tokenizers 0.21.0
