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distilbert_ner_wnut17 – AI Model by NouRed | AlphaNeural AI
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distilbert_ner_wnut17
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transformers
pytorch
safetensors
distilbert
token-classification
generated_from_trainer
wnut_17
distilbert/distilbert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert_ner_wnut17
This model is a fine-tuned version of
distilbert-base-cased
on
WNUT-17
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: 5e-05
train_batch_size: 16
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Framework versions
Transformers 4.23.0
Pytorch 1.12.1+cu113
Tokenizers 0.13.1