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---
library_name: transformers
base_model: mrm8488/bert-base-spanish-wwm-cased-finetuned-spa-squad2-es
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: fge-robos-qa-model
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. -->
# fge-robos-qa-model
This model is a fine-tuned version of [mrm8488/bert-base-spanish-wwm-cased-finetuned-spa-squad2-es](https://huggingface.co/mrm8488/bert-base-spanish-wwm-cased-finetuned-spa-squad2-es) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0088
- Model Preparation Time: 0.0077
- Exact: 55.7377
- F1: 82.8805
- Total: 915
- Hasans Exact: 55.7377
- Hasans F1: 82.8805
- Hasans Total: 915
- Best Exact: 55.7377
- Best Exact Thresh: 0.0
- Best F1: 82.8805
- Best F1 Thresh: 0.0
## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.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: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Exact | F1 | Total | Hasans Exact | Hasans F1 | Hasans Total | Best Exact | Best Exact Thresh | Best F1 | Best F1 Thresh |
|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:-------:|:-------:|:-----:|:------------:|:---------:|:------------:|:----------:|:-----------------:|:-------:|:--------------:|
| No log | 1.0 | 58 | 0.8963 | 0.0077 | 54.2077 | 81.4281 | 915 | 54.2077 | 81.4281 | 915 | 54.2077 | 0.0 | 81.4281 | 0.0 |
| No log | 2.0 | 116 | 0.9578 | 0.0077 | 54.9727 | 82.3694 | 915 | 54.9727 | 82.3694 | 915 | 54.9727 | 0.0 | 82.3694 | 0.0 |
| No log | 3.0 | 174 | 1.0088 | 0.0077 | 55.7377 | 82.8805 | 915 | 55.7377 | 82.8805 | 915 | 55.7377 | 0.0 | 82.8805 | 0.0 |
| No log | 4.0 | 232 | 1.0865 | 0.0077 | 54.4262 | 81.7459 | 915 | 54.4262 | 81.7459 | 915 | 54.4262 | 0.0 | 81.7459 | 0.0 |
| No log | 5.0 | 290 | 1.2034 | 0.0077 | 53.7705 | 81.5328 | 915 | 53.7705 | 81.5328 | 915 | 53.7705 | 0.0 | 81.5328 | 0.0 |
| No log | 6.0 | 348 | 1.2822 | 0.0077 | 54.2077 | 81.9985 | 915 | 54.2077 | 81.9985 | 915 | 54.2077 | 0.0 | 81.9985 | 0.0 |
| No log | 7.0 | 406 | 1.3357 | 0.0077 | 54.2077 | 81.7294 | 915 | 54.2077 | 81.7294 | 915 | 54.2077 | 0.0 | 81.7294 | 0.0 |
| No log | 8.0 | 464 | 1.3738 | 0.0077 | 54.6448 | 81.9526 | 915 | 54.6448 | 81.9526 | 915 | 54.6448 | 0.0 | 81.9526 | 0.0 |
| 0.4292 | 9.0 | 522 | 1.4215 | 0.0077 | 54.7541 | 81.7385 | 915 | 54.7541 | 81.7385 | 915 | 54.7541 | 0.0 | 81.7385 | 0.0 |
| 0.4292 | 10.0 | 580 | 1.4342 | 0.0077 | 53.4426 | 81.3729 | 915 | 53.4426 | 81.3729 | 915 | 53.4426 | 0.0 | 81.3729 | 0.0 |
### Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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