|
--- |
|
language: |
|
- es |
|
tags: |
|
- masked-lm |
|
license: gpl-3.0 |
|
datasets: |
|
- jorgeortizfuentes/chilean_spanish_corpus |
|
pipeline_tag: fill-mask |
|
--- |
|
|
|
# tulio-cased |
|
|
|
This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on Chilean Spanish Corpus. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.765 |
|
|
|
## 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: 20 |
|
- eval_batch_size: 20 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 2 |
|
- total_train_batch_size: 20 |
|
- total_eval_batch_size: 20 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 2.0 |
|
|
|
### Framework versions |
|
|
|
- Transformers 4.27.0.dev0 |
|
- Pytorch 1.13.1+cu117 |
|
- Datasets 2.9.0 |
|
- Tokenizers 0.13.2 |