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gene_finetuned – AI Model by Randomui | AlphaNeural AI
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Randomui
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gene_finetuned
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transformers
pytorch
tensorboard
bert
token-classification
generated_from_trainer
biocreative_gene_mention
mit
model-index
autotrain_compatible
endpoints_compatible
us
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gene_finetuned
This model is a fine-tuned version of
microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext
on the biocreative_gene_mention dataset. It achieves the following results on the evaluation set:
Loss: 0.1217
Precision: 0.8389
Recall: 0.8738
F1: 0.8560
Accuracy: 0.9582
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
157
0.1379
0.7838
0.8403
0.8111
0.9487
No log
2.0
314
0.1188
0.8394
0.8642
0.8516
0.9570
No log
3.0
471
0.1217
0.8389
0.8738
0.8560
0.9582
Framework versions
Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.2
