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

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

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text-classification

generated_from_trainer

PlanTL-GOB-ES/roberta-base-bne

autotrain_compatible

endpoints_compatible

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

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: 1.0199
F1: 0.7910
Recall: 0.7917
Accuracy: 0.7917
Precision: 0.7980

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	1.1329	0.6970	0.7275	0.7275	0.6820
1.1901	2.0	884	0.9856	0.7354	0.7533	0.7533	0.7315
0.6949	3.0	1326	1.0176	0.7507	0.7579	0.7579	0.7689
0.3873	4.0	1768	1.0008	0.7769	0.7815	0.7815	0.7854
0.1975	5.0	2210	1.0199	0.7910	0.7917	0.7917	0.7980

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3