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distilbert-base-uncased-ner-finetuned – AI Model by hrezataheri | AlphaNeural AI
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hrezataheri
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distilbert-base-uncased-ner-finetuned
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transformers
safetensors
distilbert
token-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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results
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0914
Accuracy: 0.9801
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0909
1.0
878
0.0938
0.9800
0.0861
2.0
1756
0.0919
0.9801
0.0862
3.0
2634
0.0914
0.9801
Framework versions
Transformers 4.46.3
Pytorch 2.2.2+cu121
Datasets 2.19.2
Tokenizers 0.20.3
