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Elkin5/checkpoints_pln_xlm_roberta
checkpoints_pln_xlm_roberta is a text classification model from Elkin5. 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 xlm-roberta-large 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 | F1 Macro | F1 Weighted | Accuracy |
|---|---|---|---|---|---|---|
| 1.1027 | 1.0 | 961 | 1.1027 | 0.1878 | 0.2211 | 0.3923 |
| 1.1143 | 2.0 | 1922 | 1.1028 | 0.1878 | 0.2211 | 0.3923 |
| 1.1108 | 3.0 | 2883 | 1.1037 | 0.1878 | 0.2211 | 0.3923 |
| 1.1098 | 4.0 | 3844 | 1.0995 | 0.1606 | 0.1529 | 0.3174 |