Added some simple evaluation results

README.md

@@ -91,7 +91,24 @@ For further details see [Niklaus et al. 2023](https://arxiv.org/abs/2306.02069?u
 
 ## Evaluation
 
-For performance on downstream tasks, such as [LEXTREME](https://huggingface.co/datasets/joelito/lextreme) ([Niklaus et al. 2023](https://arxiv.org/abs/2301.13126)) or [LEXGLUE](https://huggingface.co/datasets/lex_glue) ([Chalkidis et al. 2021](https://arxiv.org/abs/2110.00976)), we refer to the results presented in Niklaus et al. (2023) [1](https://arxiv.org/abs/2306.02069), [2](https://arxiv.org/abs/2306.09237).
+The results are based on the text classification tasks presented in [Niklaus et al. (2023)](https://arxiv.org/abs/2306.09237) which are part of [LEXTREME](https://huggingface.co/datasets/joelito/lextreme).
+We provide the arithmetic mean over three seeds (1, 2, 3) based on the macro-F1-score on the test set.
+We compare joelito/legal-swiss-longformer-base with the five different multilingual models, namely: [microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/microsoft/Multilingual-MiniLM-L12-H384), [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base), [xlm-roberta-base](https://huggingface.co/xlm-roberta-base), [xlm-roberta-large](https://huggingface.co/xlm-roberta-large).
+The highest values are in bold.
+
+
+| _name_or_path                          | SCP-BC    | SCP-BF    | SCP-CC    | SCP-CF    | SJPXL-C   | SJPXL-F   | SLAP-SC   | SLAP-SF   |
+|:---------------------------------------|:----------|:----------|:----------|:----------|:----------|:----------|:----------|:----------|
+| microsoft/Multilingual-MiniLM-L12-H384 | 67.29     | 56.56     | 24.23     | 14.9      | 79.52     | 58.29     | 63.03     | 67.57     |
+| distilbert-base-multilingual-cased     | 66.56     | 56.58     | 22.67     | 21.31     | 77.26     | 60.79     | 73.54     | 72.24     |
+| microsoft/mdeberta-v3-base             | 72.01     | 57.59     | 22.93     | **25.18** | 79.41     | 60.89     | 67.64     | 74.13     |
+| xlm-roberta-base                       | 68.55     | 58.48     | 25.66     | 21.52     | 80.98     | 61.45     | 79.3      | 74.47     |
+| xlm-roberta-large                      | 69.5      | 58.15     | 27.9      | 22.05     | 82.19     | 61.24     | 81.09     | 71.82     |
+| joelito/legal-swiss-longformer-base    | **73.25** | **60.06** | **28.68** | 24.39     | **87.46** | **65.23** | **83.84** | **77.96** |
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+For more detailed insights into the performance on downstream tasks, such as [LEXTREME](https://huggingface.co/datasets/joelito/lextreme) ([Niklaus et al. 2023](https://arxiv.org/abs/2301.13126)) or [LEXGLUE](https://huggingface.co/datasets/lex_glue) ([Chalkidis et al. 2021](https://arxiv.org/abs/2110.00976)), we refer to the results presented in Niklaus et al. (2023) [1](https://arxiv.org/abs/2306.02069), [2](https://arxiv.org/abs/2306.09237).
 
 ### Model Architecture and Objective