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bert-base-multilingual-uncased-sentiment-MeIA – AI Model by jyarac | AlphaNeural AI
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jyarac
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bert-base-multilingual-uncased-sentiment-MeIA
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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-MeIA
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:
eval_loss: 1.0751
eval_f1: 0.5932
eval_runtime: 74.8554
eval_samples_per_second: 70.135
eval_steps_per_second: 2.204
epoch: 4.0
step: 1532
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Framework versions
Transformers 4.28.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
