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bert-finetuned-ner – AI Model by airi | AlphaNeural AI
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airi
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bert-finetuned-ner
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transformers
pytorch
tensorboard
bert
token-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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bert-finetuned-ner
This model is a fine-tuned version of
Davlan/bert-base-multilingual-cased-ner-hrl
on the None dataset.
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
87
0.0594
0.7613
0.8779
0.8154
0.9873
Framework versions
Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1
