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finetuned – AI Model by Randomui | AlphaNeural AI
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Randomui
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finetuned
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transformers
pytorch
tensorboard
bert
token-classification
generated_from_trainer
ncbi_disease
mit
model-index
autotrain_compatible
endpoints_compatible
us
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finetuned
This model is a fine-tuned version of
microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext
on the ncbi_disease dataset. It achieves the following results on the evaluation set:
Loss: 0.0568
Precision: 0.8246
Recall: 0.8725
F1: 0.8479
Accuracy: 0.9839
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: 32
eval_batch_size: 32
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
170
0.0582
0.7621
0.8506
0.8040
0.9816
No log
2.0
340
0.0588
0.8074
0.8535
0.8298
0.9828
0.0712
3.0
510
0.0568
0.8246
0.8725
0.8479
0.9839
Framework versions
Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.2
