|
--- |
|
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 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# EUBERT |
|
|
|
This model is a pretrained BERT uncased model trained on the last 30 years of documents registered by the [European Publications Office](https://op.europa.eu/) |
|
|
|
## 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: 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 |
|
|
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.3 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.13.3 |