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  ---
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  license: mit
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  base_model: deepset/gbert-base
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- tags:
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- - generated_from_trainer
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- model-index:
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- - name: gbert_base_pubmed_mimic_translated_german_512_4_epochs_multip
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- results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # gbert_base_pubmed_mimic_translated_german_512_4_epochs_multip
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- This model is a fine-tuned version of [deepset/gbert-base](https://huggingface.co/deepset/gbert-base) on the None dataset.
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- ## Model description
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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- More information needed
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-
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- ## Training procedure
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-
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- ### Training hyperparameters
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- The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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- - train_batch_size: 56
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- - eval_batch_size: 8
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- - seed: 42
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- - distributed_type: multi-GPU
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- - num_devices: 5
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- - total_train_batch_size: 280
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- - total_eval_batch_size: 40
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- - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- - lr_scheduler_type: linear
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- - num_epochs: 4.0
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-
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- ### Training results
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- ### Framework versions
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-
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- - Transformers 4.34.0
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- - Pytorch 1.12.1.post200
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- - Datasets 2.14.5
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- - Tokenizers 0.14.0
 
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  ---
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  license: mit
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  base_model: deepset/gbert-base
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # GBERT-BioM-Translation-base
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+ This model is a medically continuously pre-trained version of [deepset/gbert-base](https://huggingface.co/deepset/gbert-base).
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+ ## Training data
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+ The model was trained on German PubMed abstracts, translated English PubMed abstracts, and translated MIMIC-III reports.