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punjabi-bert-ner – AI Model by mirfan899 | AlphaNeural AI
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mirfan899
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punjabi-bert-ner
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transformers
pytorch
safetensors
bert
token-classification
generated_from_trainer
google-bert/bert-base-multilingual-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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punjabi-bert-ner
This model is a fine-tuned version of
bert-base-multilingual-cased
on an
punjabi-ner
dataset. It achieves the following results on the evaluation set:
Loss: 0.0773
Precision: 0.7730
Recall: 0.7767
F1: 0.7748
Accuracy: 0.9794
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.1001
1.0
1613
0.0792
0.7619
0.6539
0.7037
0.9752
0.0645
2.0
3226
0.0742
0.7684
0.7528
0.7605
0.9787
0.0397
3.0
4839
0.0773
0.7730
0.7767
0.7748
0.9794
Framework versions
Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
