---
license: mit
base_model: deepset/gbert-base
tags:
- generated_from_trainer
model-index:
- name: gbert_base_pubmed_mimic_translated_german_512_4_epochs_multip
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# gbert_base_pubmed_mimic_translated_german_512_4_epochs_multip

This model is a fine-tuned version of [deepset/gbert-base](https://huggingface.co/deepset/gbert-base) on the None 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: 5e-05
- train_batch_size: 56
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 5
- total_train_batch_size: 280
- total_eval_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4.0

### Training results



### Framework versions

- Transformers 4.34.0
- Pytorch 1.12.1.post200
- Datasets 2.14.5
- Tokenizers 0.14.0