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biobert-finetuned-omim – AI Model by razzaghi | AlphaNeural AI
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biobert-finetuned-omim
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transformers
tensorboard
safetensors
bert
fill-mask
generated_from_trainer
dmis-lab/biobert-base-cased-v1.1
finetune
autotrain_compatible
endpoints_compatible
us
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biobert-finetuned-omim
This model is a fine-tuned version of
dmis-lab/biobert-base-cased-v1.1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5931
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.8375
1.0
22558
0.7585
0.6737
2.0
45116
0.6297
0.6221
3.0
67674
0.5761
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
