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n1kg0r/xlmr_classification_ce
xlmr_classification_ce is a text classification model from n1kg0r. 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-base on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
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More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Accuracy | Validation Loss | Macro F1 | Micro F1 |
|---|---|---|---|---|---|---|
| 1.7856 | 1.0 | 114 | 0.3202 | 1.6103 | 0.0627 | 0.3202 |
| 1.4494 | 2.0 | 228 | 0.4781 | 1.2965 | 0.2478 | 0.4781 |
| 1.1616 | 3.0 | 342 | 0.4781 | 1.3249 | 0.3285 | 0.4781 |
| 0.9706 | 4.0 | 456 | 0.5263 | 1.1481 | 0.3348 | 0.5263 |
| 0.8474 | 5.0 | 570 | 0.4956 | 1.2018 | 0.3227 | 0.4956 |
| 0.827 | 6.0 | 684 | 1.2117 | 0.5088 | 0.3365 | 0.5088 |