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---
library_name: transformers
license: apache-2.0
base_model: PlanTL-GOB-ES/roberta-base-bne-sqac
tags:
- generated_from_trainer
datasets:
- sqac
model-index:
- name: Mi-roberta-QA
results: []
---
<!-- 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. -->
# Mi-roberta-QA
This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne-sqac](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne-sqac) on the sqac dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2207
## 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 adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0567 | 1.0 | 940 | 2.4296 |
| 0.0309 | 2.0 | 1880 | 2.6465 |
| 0.0198 | 3.0 | 2820 | 2.5772 |
| 0.0084 | 4.0 | 3760 | 2.9885 |
| 0.0081 | 5.0 | 4700 | 3.0342 |
| 0.0028 | 6.0 | 5640 | 3.1098 |
| 0.0004 | 7.0 | 6580 | 3.1946 |
| 0.0001 | 8.0 | 7520 | 3.2207 |
### Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.3
|