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distilbert-NER-conll2003 – AI Model by joshuaphua | AlphaNeural AI
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distilbert-NER-conll2003
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pytorch
distilbert
generated_from_trainer
conll2003
dslim/distilbert-NER
finetune
apache-2.0
model-index
us
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distilbert-NER-conll2003
This model is a fine-tuned version of
dslim/distilbert-NER
on the conll2003 dataset. It achieves the following results on the evaluation set:
Loss: nan
Precision: 0.8732
Recall: 0.8964
F1: 0.8847
Accuracy: 0.9751
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
0.0605
1.0
3922
nan
0.8717
0.8877
0.8796
0.9742
0.0296
2.0
7844
nan
0.8732
0.8964
0.8847
0.9751
Framework versions
Transformers 4.33.2
Pytorch 2.2.2
Datasets 2.20.0
Tokenizers 0.13.3
