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xlm-roberta-base-definitions_ner

Token Classification
Transformers
Safetensors
German
xlm-roberta
science
ner
def_extraction
definitions
Eval Results
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@@ -68,4 +68,5 @@ Here are the overall final metrics on the test dataset after 5 epochs of trainin
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  | [scibert_scivocab_cased-definitions_ner](https://huggingface.co/samirmsallem/scibert_scivocab_cased-definitions_ner) | 80.54 | 82.11 | 81.32 | 236.61 | 4.0 |
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  | [GottBERT_base_best-definitions_ner](https://huggingface.co/samirmsallem/GottBERT_base_best-definitions_ner) | **82.98** | 82.81 | 82.90 | 272.26 | 5.0 |
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  | [xlm-roberta-base-definitions_ner](https://huggingface.co/samirmsallem/xlm-roberta-base-definitions_ner) | 81.90 | 83.35 | 82.62 | 241.21 | 5.0 |
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- | [gbert-base-definitions_ner](https://huggingface.co/samirmsallem/gbert-base-definitions_ner) | 82.73 | **83.56** | **83.14** | 278.87 | 5.0 |
 
 
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  | [scibert_scivocab_cased-definitions_ner](https://huggingface.co/samirmsallem/scibert_scivocab_cased-definitions_ner) | 80.54 | 82.11 | 81.32 | 236.61 | 4.0 |
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  | [GottBERT_base_best-definitions_ner](https://huggingface.co/samirmsallem/GottBERT_base_best-definitions_ner) | **82.98** | 82.81 | 82.90 | 272.26 | 5.0 |
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  | [xlm-roberta-base-definitions_ner](https://huggingface.co/samirmsallem/xlm-roberta-base-definitions_ner) | 81.90 | 83.35 | 82.62 | 241.21 | 5.0 |
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+ | [gbert-base-definitions_ner](https://huggingface.co/samirmsallem/gbert-base-definitions_ner) | 82.73 | **83.56** | **83.14** | 278.87 | 5.0 |
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+ | [gbert-large-definitions_ner](https://huggingface.co/samirmsallem/gbert-large-definitions_ner) | 80.67 | 83.36 | 81.99 | 109.83 | 2.0 |