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bert-base-multilingual-uncased-sentiment-finetuned-MeIA-AnalisisDeSentimientos – AI Model by Alyss97 | AlphaNeural AI
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Alyss97
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bert-base-multilingual-uncased-sentiment-finetuned-MeIA-AnalisisDeSentimientos
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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bert-base-multilingual-uncased-sentiment-finetuned-MeIA-AnalisisDeSentimientos
This model is a fine-tuned version of
nlptown/bert-base-multilingual-uncased-sentiment
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9405
F1: 0.5939
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
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.9441
1.0
766
0.9419
0.5604
0.7769
2.0
1532
0.9405
0.5939
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
