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distilbert-base-uncased-finetuned-ner – AI Model by Evgeneus | AlphaNeural AI
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Evgeneus
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distilbert-base-uncased-finetuned-ner
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transformers
pytorch
tensorboard
distilbert
token-classification
generated_from_trainer
conll2003
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-ner
This model is a fine-tuned version of
distilbert-base-uncased
on the conll2003 dataset. It achieves the following results on the evaluation set:
Loss: 0.0845
Precision: 0.8754
Recall: 0.9058
F1: 0.8904
Accuracy: 0.9763
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
0.2529
1.0
878
0.0845
0.8754
0.9058
0.8904
0.9763
Framework versions
Transformers 4.13.0
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3
