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MaCoCu
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XLMR-MaltBERTa

Feature Extraction
Transformers
PyTorch
TensorFlow
JAX
Maltese
xlm-roberta
MaltBERTa
MaCoCu
text-embeddings-inference
Inference Endpoints
Model card Files Community
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@@ -41,7 +41,7 @@ Scores are averages of three runs for UPOS/XPOS and 10 runs for COPA. We use the
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  | **XLM-R-base** | 93.6 | 93.2 | 93.4 | 93.2 | 52.2 |
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  | **XLM-R-large** | 94.9 | 94.4 | 95.1 | 94.7 | 54.0 |
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  | **BERTu** | 97.5 | 97.6 | 95.7 | 95.8 | **55.6** |
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- | **mBERTu** | **97.7** | 97.8 | 97.9 | 98.1 52.6 |
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  | **MaltBERTa** | 95.7 | 95.8 | 96.1 | 96.0 | 53.7 |
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  | **XLMR-MaltBERTa** | **97.7** | **98.1** | **98.1** | **98.2** | 54.4 |
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  | **XLM-R-base** | 93.6 | 93.2 | 93.4 | 93.2 | 52.2 |
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  | **XLM-R-large** | 94.9 | 94.4 | 95.1 | 94.7 | 54.0 |
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  | **BERTu** | 97.5 | 97.6 | 95.7 | 95.8 | **55.6** |
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+ | **mBERTu** | **97.7** | 97.8 | 97.9 | 98.1 | 52.6 |
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  | **MaltBERTa** | 95.7 | 95.8 | 96.1 | 96.0 | 53.7 |
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  | **XLMR-MaltBERTa** | **97.7** | **98.1** | **98.1** | **98.2** | 54.4 |
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