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biobert-finetuned-omim

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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

Downloads last month: 39

Safetensors

Model size

108M params

Tensor type

F32

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Model tree for razzaghi/biobert-finetuned-omim

Base model

dmis-lab/biobert-base-cased-v1.1

Finetuned

(11)

this model

Evaluation results

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