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--- |
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library_name: transformers |
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license: mit |
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base_model: mmaguero/gn-bert-tiny-cased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: multi-wiki-qa-gn-bert-tiny-cased |
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results: [] |
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datasets: |
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- alexandrainst/multi-wiki-qa |
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language: |
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- es |
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- gn |
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- grn |
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- gug |
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metrics: |
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- squad |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# multi-wiki-qa-gn-bert-tiny-cased |
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> [!WARNING] |
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> **WARNING:** This model is **no recommended**. |
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> For a best model, please use: |
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> [mmaguero/multi-wiki-qa-gn-xlm-v-base](https://huggingface.co/mmaguero/multi-wiki-qa-gn-xlm-v-base) |
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This model is a fine-tuned version of [mmaguero/gn-bert-tiny-cased](https://huggingface.co/mmaguero/gn-bert-tiny-cased) on [alexandrainst/multi-wiki-qa](https://huggingface.co/datasets/alexandrainst/multi-wiki-qa) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.5804 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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### Framework versions |
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- Transformers 4.57.1 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.1 |
