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longformer-base-4096-ca-v2

longformer-base-4096-ca-v2

Catalan Textual Corpus

Inference Endpoints

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angel-poc commited on Dec 12, 2022

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@@ -171,7 +171,7 @@ When fine-tuned on the downstream tasks, this model achieved the following perfo
 | Task        | NER (F1)      | POS (F1)   | STS-ca (Comb)   | TeCla (Acc.) | TEca (Acc.) | VilaQuAD (F1/EM)| ViquiQuAD (F1/EM) | CatalanQA (F1/EM) |
 | ------------|:-------------:| -----:|:------|:------|:-------|:------|:----|:----|
-| RoBERTa-large-ca-v2        | **89.82** | **99.02** | **83.41** | **75.46** | 83.61 | **89.34**/75.50 | **89.20**/75.77 | **90.72/79.06** |
 | RoBERTa-base-ca-v2      | 89.29 | 98.96 | 79.07 | 74.26 | 83.14 | 87.74/72.58 | 88.72/**75.91** | 89.50/76.63 |
 | Longformer-base-4096-ca | 88.49 | 98.98 | 78.37 | -     | **83.89** | 87.59/72.33 | 88.70/**76.05** | 89.33/77.03 |
 | BERTa                   | 89.76 | 98.96 | 80.19 | 73.65 | 79.26 | 85.93/70.58 | 87.12/73.11 | 89.17/77.14 |

 | Task        | NER (F1)      | POS (F1)   | STS-ca (Comb)   | TeCla (Acc.) | TEca (Acc.) | VilaQuAD (F1/EM)| ViquiQuAD (F1/EM) | CatalanQA (F1/EM) |
 | ------------|:-------------:| -----:|:------|:------|:-------|:------|:----|:----|
+| RoBERTa-large-ca-v2        | **89.82** | **99.02** | **83.41** | **75.46** | 83.61 | **89.34/75.50** | **89.20**/75.77 | **90.72/79.06** |
 | RoBERTa-base-ca-v2      | 89.29 | 98.96 | 79.07 | 74.26 | 83.14 | 87.74/72.58 | 88.72/**75.91** | 89.50/76.63 |
 | Longformer-base-4096-ca | 88.49 | 98.98 | 78.37 | -     | **83.89** | 87.59/72.33 | 88.70/**76.05** | 89.33/77.03 |
 | BERTa                   | 89.76 | 98.96 | 80.19 | 73.65 | 79.26 | 85.93/70.58 | 87.12/73.11 | 89.17/77.14 |