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update model card README.md

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@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Tanor/BERTicovoSENTNEG6](https://huggingface.co/Tanor/BERTicovoSENTNEG6) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1380
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- - F1: 0.4390
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  ## Model description
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@@ -54,33 +54,6 @@ The following hyperparameters were used during training:
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  | No log | 3.0 | 159 | 0.0610 | 0.5532 |
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  | No log | 4.0 | 212 | 0.0718 | 0.5 |
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  | No log | 5.0 | 265 | 0.0837 | 0.4878 |
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- | No log | 6.0 | 318 | 0.0919 | 0.5 |
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- | No log | 7.0 | 371 | 0.0989 | 0.5116 |
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- | No log | 8.0 | 424 | 0.0947 | 0.5217 |
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- | No log | 9.0 | 477 | 0.1052 | 0.5217 |
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- | 0.027 | 10.0 | 530 | 0.1096 | 0.4651 |
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- | 0.027 | 11.0 | 583 | 0.1180 | 0.4 |
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- | 0.027 | 12.0 | 636 | 0.1225 | 0.4286 |
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- | 0.027 | 13.0 | 689 | 0.1198 | 0.4444 |
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- | 0.027 | 14.0 | 742 | 0.1285 | 0.4390 |
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- | 0.027 | 15.0 | 795 | 0.1252 | 0.4 |
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- | 0.027 | 16.0 | 848 | 0.1308 | 0.3590 |
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- | 0.027 | 17.0 | 901 | 0.1278 | 0.4390 |
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- | 0.027 | 18.0 | 954 | 0.1259 | 0.4762 |
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- | 0.0036 | 19.0 | 1007 | 0.1281 | 0.4390 |
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- | 0.0036 | 20.0 | 1060 | 0.1299 | 0.4390 |
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- | 0.0036 | 21.0 | 1113 | 0.1289 | 0.4762 |
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- | 0.0036 | 22.0 | 1166 | 0.1307 | 0.4286 |
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- | 0.0036 | 23.0 | 1219 | 0.1287 | 0.4762 |
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- | 0.0036 | 24.0 | 1272 | 0.1297 | 0.4762 |
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- | 0.0036 | 25.0 | 1325 | 0.1343 | 0.4 |
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- | 0.0036 | 26.0 | 1378 | 0.1388 | 0.4 |
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- | 0.0036 | 27.0 | 1431 | 0.1342 | 0.4286 |
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- | 0.0036 | 28.0 | 1484 | 0.1342 | 0.4286 |
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- | 0.0027 | 29.0 | 1537 | 0.1363 | 0.4286 |
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- | 0.0027 | 30.0 | 1590 | 0.1367 | 0.4286 |
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- | 0.0027 | 31.0 | 1643 | 0.1373 | 0.4390 |
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- | 0.0027 | 32.0 | 1696 | 0.1380 | 0.4390 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Tanor/BERTicovoSENTNEG6](https://huggingface.co/Tanor/BERTicovoSENTNEG6) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0837
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+ - F1: 0.4878
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  ## Model description
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  | No log | 3.0 | 159 | 0.0610 | 0.5532 |
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  | No log | 4.0 | 212 | 0.0718 | 0.5 |
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  | No log | 5.0 | 265 | 0.0837 | 0.4878 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions