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OscarGalavizC/roberta-base-bne-finetuned-multi-sentiment-finetuned-multi-sentiment
roberta-base-bne-finetuned-multi-sentiment-finetuned-multi-sentiment is a text classification model from OscarGalavizC. 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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.safetensors499 MB · 99%
From the Hugging Face model README
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:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5534 | 1.0 | 115 | 0.7764 | 0.6512 |
| 0.3479 | 2.0 | 230 | 0.9324 | 0.6512 |
| 0.0922 | 3.0 | 345 | 1.2452 | 0.6574 |
| 0.0218 | 4.0 | 460 | 1.7006 | 0.6512 |
| 0.001 | 5.0 | 575 | 1.7949 | 0.6512 |
| 0.0007 | 6.0 | 690 | 1.8798 | 0.6605 |
| 0.0006 | 7.0 | 805 | 1.9510 | 0.6451 |
| 0.0005 | 8.0 | 920 | 1.9926 | 0.6451 |
| 0.0004 | 9.0 | 1035 | 2.0169 | 0.6451 |
| 0.0004 | 10.0 | 1150 | 2.0249 | 0.6451 |