metadata
license: mit
base_model: deepset/gbert-large
tags:
- generated_from_trainer
model-index:
- name: gbert_large_pubmed_mimic_translated_german_512_2_epochs_multip
results: []
gbert_large_pubmed_mimic_translated_german_512_2_epochs_multip
This model is a fine-tuned version of deepset/gbert-large 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: 24
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 6
- total_train_batch_size: 144
- total_eval_batch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
Training results
Framework versions
- Transformers 4.34.0
- Pytorch 1.12.1.post200
- Datasets 2.14.5
- Tokenizers 0.14.0