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roberta-base-bne-finetuned-amazon_reviews_multi – AI Model by Migueluao123 | AlphaNeural AI
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Migueluao123
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roberta-base-bne-finetuned-amazon_reviews_multi
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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roberta-base-bne-finetuned-amazon_reviews_multi
This model is a fine-tuned version of
BSC-TeMU/roberta-base-bne
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2215
Accuracy: 0.9343
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
Accuracy
0.1948
1.0
1250
0.1743
0.933
0.0979
2.0
2500
0.2215
0.9343
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Tokenizers 0.13.2
