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bert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos – AI Model by emiliam | AlphaNeural AI
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emiliam
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bert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos
This model is a fine-tuned version of
bert-base-multilingual-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0999
Accuracy: 0.5436
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: 14
eval_batch_size: 14
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.9382
1.0
438
1.1474
0.5036
0.8066
2.0
876
1.0999
0.5436
0.6462
3.0
1314
1.2079
0.5413
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
