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distilbert-base-uncased-finetuned-ner – AI Model by slhoefel | AlphaNeural AI
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slhoefel
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distilbert-base-uncased-finetuned-ner
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transformers
pytorch
distilbert
token-classification
generated_from_trainer
ncbi_disease
distilbert/distilbert-base-uncased
finetune
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 ncbi_disease dataset. It achieves the following results on the evaluation set:
Loss: 0.0735
Precision: 0.8144
Recall: 0.8605
F1: 0.8369
Accuracy: 0.9805
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
No log
1.0
340
0.0761
0.7560
0.8316
0.7920
0.9758
0.1236
2.0
680
0.0719
0.8105
0.8355
0.8228
0.9794
0.0397
3.0
1020
0.0735
0.8144
0.8605
0.8369
0.9805
Framework versions
Transformers 4.31.0
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.13.2
