roberta-base-fine-tuned-text-classificarion-ds-ss2 – AI Model by Sleoruiz | AlphaNeural AI

You can deploy this model and start earning money today!

Sleoruiz/
roberta-base-fine-tuned-text-classificarion-ds-ss2

like

0

text-classification

generated_from_trainer

PlanTL-GOB-ES/roberta-base-bne

autotrain_compatible

endpoints_compatible

Views

No views yet

roberta-base-fine-tuned-text-classificarion-ds-ss2

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: 1.1475
F1: 0.7875
Recall: 0.7818
Accuracy: 0.7818
Precision: 0.8021

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
No log	1.0	442	0.9007	0.7765	0.7793	0.7793	0.7882
0.8538	2.0	884	0.9423	0.7772	0.7751	0.7751	0.7954
0.352	3.0	1326	0.9751	0.7842	0.7846	0.7846	0.7899
0.1244	4.0	1768	1.0226	0.7972	0.7970	0.7970	0.8019
0.046	5.0	2210	1.1475	0.7875	0.7818	0.7818	0.8021

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3