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distilbert-base-uncased-finetuned-ner – AI Model by shuvayanti | AlphaNeural AI
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shuvayanti
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distilbert-base-uncased-finetuned-ner
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transformers
tensorboard
safetensors
distilbert
token-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
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 an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0626
Precision: 0.9295
Recall: 0.9362
F1: 0.9328
Accuracy: 0.9836
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.2475
1.0
878
0.0696
0.8992
0.9205
0.9097
0.9799
0.0519
2.0
1756
0.0606
0.9236
0.9342
0.9289
0.9831
0.0302
3.0
2634
0.0626
0.9295
0.9362
0.9328
0.9836
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
