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pabagcha/finetuning-sentiment-model-1
finetuning-sentiment-model-1 is a text classification model from pabagcha. 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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From the Hugging Face model README
This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-bne on the None 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 | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 16 | 1.2357 | 0.4328 | 0.1510 |
| No log | 2.0 | 32 | 1.0922 | 0.6008 | 0.3431 |
| No log | 3.0 | 48 | 0.9682 | 0.6166 | 0.3607 |
| No log | 4.0 | 64 | 0.9349 | 0.6522 | 0.4815 |
| No log | 5.0 | 80 | 0.9244 | 0.6542 | 0.5471 |
| No log | 6.0 | 96 | 0.9796 | 0.6581 | 0.5386 |
| No log | 7.0 | 112 | 1.0155 | 0.6522 | 0.5626 |
| No log | 8.0 | 128 | 1.0731 | 0.6265 | 0.5428 |
| No log | 9.0 | 144 | 1.1026 | 0.6324 | 0.5418 |
| No log | 10.0 | 160 | 1.1023 | 0.6423 | 0.5470 |