metadata
tags:
- generated_from_trainer
model-index:
- name: EUBERT
results: []
language:
- bg
- cs
- da
- de
- el
- en
- es
- et
- fi
- fr
- ga
- hr
- hu
- it
- lt
- lv
- mt
- nl
- pl
- pt
- ro
- sk
- sl
- sv
EUBERT
This model is a pretrained BERT uncased model trained on the last 30 years of documents registered by the European Publications Office
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Dedicated Byte Level BPE tokenizer vocabulary size 2**16, min frequency 2
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
Coming soon
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
Infrastructure
- Hardware Type: 4 x GPUs 24GB
- Hours used: 60
- Cloud Provider: EuroHPC
- Compute Region: Meluxina
Model Card Authors [optional]
Sebastien Campion