metadata

library_name: transformers
license: apache-2.0
base_model: BSC-TeMU/roberta-base-bne
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - precision
  - recall
  - f1
model-index:
  - name: roberta-base-bne-finetuned-spanish_sarcastic_texts
    results: []

roberta-base-bne-finetuned-spanish_sarcastic_texts

This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2565
Accuracy: 0.9324
Precision: 0.9353
Recall: 0.8896
F1: 0.9118

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: 2.9498580198388856e-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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.2195	1.0	313	0.2003	0.9255	0.9105	0.8989	0.9047
0.0614	2.0	626	0.2565	0.9324	0.9353	0.8896	0.9118

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1