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---
base_model: dccuchile/bert-base-spanish-wwm-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: bert-base-spanish-analysis-app-questions
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. -->
# bert-base-spanish-analysis-app-questions
This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co./dccuchile/bert-base-spanish-wwm-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0164
- Accuracy: 1.0
- F1: 1.0
- Precision: 1.0
- Recall: 1.0
## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| No log | 1.0 | 22 | 0.2167 | 0.9943 | 0.9890 | 0.9864 | 0.9937 |
| No log | 2.0 | 44 | 0.0821 | 1.0 | 1.0 | 1.0 | 1.0 |
| No log | 3.0 | 66 | 0.0430 | 1.0 | 1.0 | 1.0 | 1.0 |
| No log | 4.0 | 88 | 0.0300 | 1.0 | 1.0 | 1.0 | 1.0 |
| No log | 5.0 | 110 | 0.0240 | 1.0 | 1.0 | 1.0 | 1.0 |
| No log | 6.0 | 132 | 0.0207 | 1.0 | 1.0 | 1.0 | 1.0 |
| No log | 7.0 | 154 | 0.0187 | 1.0 | 1.0 | 1.0 | 1.0 |
| No log | 8.0 | 176 | 0.0173 | 1.0 | 1.0 | 1.0 | 1.0 |
| No log | 9.0 | 198 | 0.0167 | 1.0 | 1.0 | 1.0 | 1.0 |
| No log | 10.0 | 220 | 0.0164 | 1.0 | 1.0 | 1.0 | 1.0 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|