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e4gl33y3
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luganda-ner-v6

Token Classification
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Safetensors
xlm-roberta
Generated from Trainer
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  1. README.md +15 -15
  2. model.safetensors +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2704
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- - Precision: 0.7997
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- - Recall: 0.7938
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- - F1: 0.7968
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- - Accuracy: 0.9456
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  ## Model description
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@@ -55,16 +55,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 261 | 0.5613 | 0.4244 | 0.2337 | 0.3014 | 0.8567 |
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- | 0.6532 | 2.0 | 522 | 0.3594 | 0.6192 | 0.5198 | 0.5652 | 0.9049 |
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- | 0.6532 | 3.0 | 783 | 0.3005 | 0.7271 | 0.6602 | 0.6920 | 0.9229 |
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- | 0.263 | 4.0 | 1044 | 0.2735 | 0.7402 | 0.7233 | 0.7317 | 0.9312 |
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- | 0.263 | 5.0 | 1305 | 0.2696 | 0.7497 | 0.7723 | 0.7608 | 0.9324 |
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- | 0.1568 | 6.0 | 1566 | 0.2591 | 0.7589 | 0.7757 | 0.7672 | 0.9360 |
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- | 0.1568 | 7.0 | 1827 | 0.2691 | 0.8048 | 0.7502 | 0.7765 | 0.9426 |
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- | 0.0997 | 8.0 | 2088 | 0.2532 | 0.7983 | 0.7764 | 0.7872 | 0.9435 |
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- | 0.0997 | 9.0 | 2349 | 0.2773 | 0.7646 | 0.7811 | 0.7728 | 0.9418 |
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- | 0.0756 | 10.0 | 2610 | 0.2704 | 0.7997 | 0.7938 | 0.7968 | 0.9456 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2811
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+ - Precision: 0.7787
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+ - Recall: 0.7703
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+ - F1: 0.7745
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+ - Accuracy: 0.9420
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 261 | 0.6199 | 0.5211 | 0.0665 | 0.1179 | 0.8387 |
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+ | 0.6777 | 2.0 | 522 | 0.3910 | 0.5614 | 0.5339 | 0.5473 | 0.8999 |
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+ | 0.6777 | 3.0 | 783 | 0.3134 | 0.7396 | 0.5876 | 0.6549 | 0.9174 |
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+ | 0.2838 | 4.0 | 1044 | 0.2843 | 0.7064 | 0.6998 | 0.7031 | 0.9241 |
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+ | 0.2838 | 5.0 | 1305 | 0.2648 | 0.7800 | 0.6931 | 0.7340 | 0.9353 |
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+ | 0.1659 | 6.0 | 1566 | 0.2841 | 0.7456 | 0.7461 | 0.7459 | 0.9310 |
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+ | 0.1659 | 7.0 | 1827 | 0.2663 | 0.7737 | 0.7461 | 0.7597 | 0.9409 |
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+ | 0.105 | 8.0 | 2088 | 0.2718 | 0.7756 | 0.7542 | 0.7647 | 0.9399 |
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+ | 0.105 | 9.0 | 2349 | 0.2896 | 0.7623 | 0.7602 | 0.7613 | 0.9360 |
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+ | 0.079 | 10.0 | 2610 | 0.2811 | 0.7787 | 0.7703 | 0.7745 | 0.9420 |
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  ### Framework versions
model.safetensors CHANGED
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