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BIO_GPT_NER_FINETUNED_C – AI Model by annafavaro | AlphaNeural AI
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annafavaro
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BIO_GPT_NER_FINETUNED_C
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transformers
pytorch
tensorboard
gpt2
token-classification
generated_from_trainer
ncbi_disease
mit
model-index
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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BIO_GPT_NER_FINETUNED_C
This model is a fine-tuned version of
microsoft/biogpt
on the ncbi_disease dataset. It achieves the following results on the evaluation set:
Loss: 0.1466
Precision: 0.4418
Recall: 0.5584
F1: 0.4933
Accuracy: 0.9581
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: 8
eval_batch_size: 8
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
0.2989
1.0
680
0.1687
0.3350
0.4226
0.3737
0.9474
0.1764
2.0
1360
0.1425
0.4289
0.5241
0.4717
0.9560
0.0942
3.0
2040
0.1466
0.4418
0.5584
0.4933
0.9581
Framework versions
Transformers 4.28.0
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
