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token_classification_NER – AI Model by manojsule | AlphaNeural AI
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manojsule
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token_classification_NER
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transformers
tensorboard
safetensors
distilbert
token-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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token_classification_NER
This model is a fine-tuned version of
distilbert/distilbert-base-uncased
on an unknown 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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
213
0.2710
0.5582
0.3290
0.4140
0.9425
Framework versions
Transformers 4.53.3
Pytorch 2.10.0+cpu
Datasets 4.0.0
Tokenizers 0.21.4
