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pubmedbert_tlink – AI Model by HealthNLP | AlphaNeural AI
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HealthNLP
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pubmedbert_tlink
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transformers
pytorch
safetensors
bert
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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pubmed_thyme_deepphe_no_crc
This model is a fine-tuned version of
tlink_shared_task_weights/pubmed_thyme_deepphe_no_crc
on an unknown dataset.
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: 3e-05
train_batch_size: 16
eval_batch_size: 16
seed: 62
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0
Framework versions
Transformers 4.24.0
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.11.0
