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modernbert-en-disease-masked-v1 – AI Model by alecocc | AlphaNeural AI
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alecocc
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modernbert-en-disease-masked-v1
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transformers
safetensors
modernbert
token-classification
generated_from_trainer
thomas-sounack/BioClinical-ModernBERT-base
finetune
mit
endpoints_compatible
us
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modernbert-en-disease-masked-v1
This model is a fine-tuned version of
thomas-sounack/BioClinical-ModernBERT-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1116
Precision: 0.6411
Recall: 0.6842
F1: 0.6619
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: 5e-05
train_batch_size: 8
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
0.1346
1.0
142
0.1379
0.5471
0.5636
0.5553
0.1
2.0
284
0.1090
0.6324
0.6885
0.6593
0.0708
3.0
426
0.1116
0.6411
0.6842
0.6619
Framework versions
Transformers 4.57.6
Pytorch 2.10.0+cu128
Datasets 3.6.0
Tokenizers 0.22.2
