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bertmultilingual-sentiment-model – AI Model by karina-aquino | AlphaNeural AI
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karina-aquino
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bertmultilingual-sentiment-model
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transformers
pytorch
bert
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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bertmultilingual-sentiment-model
This model is a fine-tuned version of
nlptown/bert-base-multilingual-uncased-sentiment
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9775
Accuracy: 0.66
F1: 0.6726
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: 1e-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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
375
0.9775
0.66
0.6726
Framework versions
Transformers 4.30.1
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3
