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medicine-ner – AI Model by jarvisx17 | AlphaNeural AI
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jarvisx17
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medicine-ner
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transformers
pytorch
tensorboard
distilbert
token-classification
generated_from_trainer
jxner
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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medicine-ner
This model is a fine-tuned version of
distilbert-base-uncased
on the jxner dataset. It achieves the following results on the evaluation set:
Loss: 0.7996
Precision: 0.0
Recall: 0.0
F1: 0.0
Accuracy: 0.8594
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
1
0.8644
0.0
0.0
0.0
0.8594
No log
2.0
2
0.7996
0.0
0.0
0.0
0.8594
Framework versions
Transformers 4.27.3
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
