metadata
library_name: transformers
license: apache-2.0
base_model: PlanTL-GOB-ES/roberta-base-bne
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clasificador-tweets2
results: []
language:
- es
pipeline_tag: text-classification
clasificador-tweets2
This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-bne on the somosnlp-hackathon-2022/es_tweets_laboral dataset. It achieves the following results on the evaluation set:
- Loss: 0.9478
- Accuracy: 0.7660
Intended uses & limitations
This model is intended for the task Text Classification.
Training and evaluation data
We used the somosnlp-hackathon-2022/es_tweets_laboral dataset.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 23 | 1.3221 | 0.6170 |
| No log | 2.0 | 46 | 0.9521 | 0.6809 |
| No log | 3.0 | 69 | 0.8694 | 0.7234 |
| No log | 4.0 | 92 | 0.8039 | 0.7660 |
| No log | 5.0 | 115 | 1.0916 | 0.6809 |
| No log | 6.0 | 138 | 0.9355 | 0.7872 |
| No log | 7.0 | 161 | 0.9594 | 0.7872 |
| No log | 8.0 | 184 | 0.9580 | 0.7660 |
| No log | 9.0 | 207 | 0.9416 | 0.7872 |
| No log | 10.0 | 230 | 0.9478 | 0.7660 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0