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roberta-base-bne-SentimentAnalysis-cursoNLP-Platzi – AI Model by Javierxd17 | AlphaNeural AI
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Javierxd17
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roberta-base-bne-SentimentAnalysis-cursoNLP-Platzi
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
PlanTL-GOB-ES/roberta-base-bne
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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roberta-base-bne-SentimentAnalysis-cursoNLP-Platzi
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: 0.3882
Accuracy: 0.8844
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3403
1.0
2500
0.3668
0.8854
0.2515
2.0
5000
0.3882
0.8844
Framework versions
Transformers 4.52.2
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
