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Shijia/xlm-roberta-base_esp_corr_0.0001
xlm-roberta-base_esp_corr_0.0001 is a text classification model from Shijia. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
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 FacebookAI/xlm-roberta-base 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 | Spearman Corr |
|---|---|---|---|---|
| No log | 0.94 | 200 | 0.0462 | nan |
| No log | 1.89 | 400 | 0.0461 | nan |
| 0.0481 | 2.83 | 600 | 0.0466 | nan |
| 0.0481 | 3.77 | 800 | 0.0462 | nan |
| 0.0482 | 4.72 | 1000 | 0.0466 | nan |
| 0.0482 | 5.66 | 1200 | 0.0462 | nan |
| 0.0482 | 6.6 | 1400 | 0.0461 | -0.0593 |
| 0.0482 | 7.55 | 1600 | 0.0465 | nan |
| 0.0481 | 8.49 | 1800 | 0.0462 | nan |