metadata

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: []

gbert_base_pubmed_mimic_translated_german_512_4_epochs_multip

This model is a fine-tuned version of 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