metadata
library_name: transformers
license: mit
base_model: mmaguero/gn-bert-tiny-cased
tags:
- generated_from_trainer
model-index:
- name: multi-wiki-qa-gn-bert-tiny-cased
results: []
datasets:
- alexandrainst/multi-wiki-qa
language:
- es
- gn
- grn
- gug
metrics:
- squad
multi-wiki-qa-gn-bert-tiny-cased
WARNING: This model is no recommended.
For a best model, please use:
mmaguero/multi-wiki-qa-gn-xlm-v-base
This model is a fine-tuned version of mmaguero/gn-bert-tiny-cased on alexandrainst/multi-wiki-qa dataset. It achieves the following results on the evaluation set:
- Loss: 4.5804
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1