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kw_pubmed_vanilla_sentence_10000_0.0003_2 – AI Model by enoriega | AlphaNeural AI

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enoriega/
kw_pubmed_vanilla_sentence_10000_0.0003_2

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enoriega/keyword_pubmed

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kw_pubmed_vanilla_sentence_10000_0.0003_2

This model is a fine-tuned version of microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext on the enoriega/keyword_pubmed sentence dataset. It achieves the following results on the evaluation set:

Loss: 1.5883
Accuracy: 0.6767

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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 500
total_train_batch_size: 8000
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.18.0
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1