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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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<!-- 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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#
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This model is a
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##
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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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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### Training results
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### Framework versions
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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.
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