roberta-bne-fine-tuned-text-classification-SL-data-augmentation-dss – AI Model by Sleoruiz | AlphaNeural AI

You can deploy this model and start earning money today!

Sleoruiz/
roberta-bne-fine-tuned-text-classification-SL-data-augmentation-dss

like

0

text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

roberta-bne-fine-tuned-text-classification-SL-data-augmentation-dss

This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-bne on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.3544
F1: 0.4643
Recall: 0.4629
Accuracy: 0.4629
Precision: 0.4880

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Recall	Accuracy	Precision
3.3244	1.0	562	2.7345	0.3306	0.3939	0.3939	0.3500
2.4396	2.0	1124	2.4186	0.4061	0.4468	0.4468	0.4349
1.8841	3.0	1686	2.2738	0.4453	0.4702	0.4702	0.4583
1.4409	4.0	2248	2.2984	0.4500	0.4582	0.4582	0.4625
1.0328	5.0	2810	2.3544	0.4643	0.4629	0.4629	0.4880

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3