roberta-bne-fine-tuned-text-classification-SL-1200samples – AI Model by Sleoruiz | AlphaNeural AI

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Sleoruiz/
roberta-bne-fine-tuned-text-classification-SL-1200samples

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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roberta-bne-fine-tuned-text-classification-SL-1200samples

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: 2.5536
F1: 0.4587
Recall: 0.4697
Accuracy: 0.4697
Precision: 0.4773

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: 0.0001
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
2.3608	1.0	1503	2.2771	0.3955	0.4385	0.4385	0.4415
1.9673	2.0	3006	2.0774	0.4439	0.4769	0.4769	0.4716
1.5479	3.0	4509	2.1167	0.4567	0.4767	0.4767	0.4719
1.0917	4.0	6012	2.4366	0.4512	0.4451	0.4451	0.4902
0.8063	5.0	7515	2.5536	0.4587	0.4697	0.4697	0.4773

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3