my-model-Bertin-Sentimento – AI Model by lBober | AlphaNeural AI

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lBober/
my-model-Bertin-Sentimento

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text-classification

generated_from_trainer

bertin-project/bertin-roberta-base-spanish

autotrain_compatible

endpoints_compatible

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my-model-Bertin-Sentimento

This model is a fine-tuned version of bertin-project/bertin-roberta-base-spanish on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2665
Accuracy: 0.9484
F1: 0.8000
Precision: 0.9412
Recall: 0.6957

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.35	1.0	91	0.2157	0.8516	0.0	0.0	0.0
0.2706	2.0	182	0.4638	0.9097	0.5625	1.0	0.3913
0.136	3.0	273	0.6050	0.9032	0.5161	1.0	0.3478
0.0675	4.0	364	0.3015	0.9484	0.7895	1.0	0.6522
0.0154	5.0	455	0.2665	0.9484	0.8000	0.9412	0.6957

Framework versions

Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1