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roberta-base-bne-finetuned-amazon_reviews_multi
robertou2/roberta-base-bne-finetuned-amazon_reviews_multi
roberta-base-bne-finetuned-amazon_reviews_multi is a text classification model from robertou2. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Mar 14, 2022
- Updated
- Mar 14, 2022
- SHA
- a0e68c18
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Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
roberta-base-bne-finetuned-amazon_reviews_multi
This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:
- Loss: 0.2368
- Accuracy: 0.9325
Model description
Modelo de prueba del curso NLP de 0 a 100 sesion 4
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 |
|---|---|---|---|---|
| 0.1919 | 1.0 | 1250 | 0.1690 | 0.933 |
| 0.0972 | 2.0 | 2500 | 0.2368 | 0.9325 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 1.18.4
- Tokenizers 0.11.6
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Mar 14, 2022
- Updated
- Mar 14, 2022