sohidalg/clasificador-tweets2

<!-- 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. -->

clasificador-tweets2

This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-bne on the somosnlp-hackathon-2022/estweetslaboral 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/estweetslaboral dataset.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 5e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 10

Training results

Framework versions

• —Transformers 4.47.1
• —Pytorch 2.5.1+cu121
• —Datasets 3.2.0
• —Tokenizers 0.21.0