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biobert-v1.1-finetuned-medmcqa-1pct-2024-12-17-T16-37-37 – AI Model by maxg73872 | AlphaNeural AI
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biobert-v1.1-finetuned-medmcqa-1pct-2024-12-17-T16-37-37
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transformers
safetensors
bert
multiple-choice
generated_from_trainer
dmis-lab/biobert-v1.1
finetune
endpoints_compatible
us
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biobert-v1.1-finetuned-medmcqa-1pct-2024-12-17-T16-37-37
This model is a fine-tuned version of
dmis-lab/biobert-v1.1
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.1308
Accuracy: 0.4949
F1: 0.4965
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: 0.000159
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
1.138
0.9978
57
1.1308
0.4949
0.4965
Framework versions
Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.20.3
