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---
language:
- es
license: cc-by-4.0
tags:
- generated_from_trainer
datasets:
- jorgeortizfuentes/toxicity_spanish_incivility_v3
metrics:
- f1
model-index:
- name: incivility-dv3-patana-chilean-spanish-bert-j63zilm4
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: jorgeortizfuentes/toxicity_spanish_incivility_v3
type: jorgeortizfuentes/toxicity_spanish_incivility_v3
split: validation
metrics:
- name: F1
type: f1
value: 0.9135014363230132
---
<!-- 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. -->
# incivility-dv3-patana-chilean-spanish-bert-j63zilm4
This model is a fine-tuned version of [dccuchile/patana-chilean-spanish-bert](https://huggingface.co./dccuchile/patana-chilean-spanish-bert) on the jorgeortizfuentes/toxicity_spanish_incivility_v3 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5672
- F1: 0.9135
## 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: 5e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 13
- 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 | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.1351 | 5.0 | 455 | 0.4608 | 0.9119 |
| 0.0114 | 10.0 | 910 | 0.5672 | 0.9135 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
|