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xmod-shared-roberta-base-legal-multi-downstream-ecthr-b

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MHGanainy commited on Aug 24

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1 Parent(s): 880ebea

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README.md +12 -13
model.safetensors +1 -1

README.md CHANGED Viewed

@@ -1,6 +1,6 @@
 ---
 library_name: transformers
-base_model: MHGanainy/xmod-shared-roberta-base-legal-multi
 tags:
 - generated_from_trainer
 model-index:
@@ -13,11 +13,11 @@ should probably proofread and complete it, then remove this comment. -->
 # xmod-shared-roberta-base-legal-multi-downstream-ecthr-b
-This model is a fine-tuned version of [MHGanainy/xmod-shared-roberta-base-legal-multi](https://huggingface.co/MHGanainy/xmod-shared-roberta-base-legal-multi) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2065
-- Macro-f1: 0.7429
-- Micro-f1: 0.7856
 ## Model description
@@ -53,14 +53,13 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Macro-f1 | Micro-f1 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
-| No log        | 1.0   | 282  | 0.1880          | 0.6372   | 0.7414   |
-| 0.1761        | 2.0   | 564  | 0.1972          | 0.6534   | 0.7604   |
-| 0.1761        | 3.0   | 846  | 0.1728          | 0.7190   | 0.7865   |
-| 0.1155        | 4.0   | 1128 | 0.1755          | 0.7374   | 0.7874   |
-| 0.1155        | 5.0   | 1410 | 0.1742          | 0.7354   | 0.7965   |
-| 0.091         | 6.0   | 1692 | 0.1955          | 0.7452   | 0.7876   |
-| 0.091         | 7.0   | 1974 | 0.1910          | 0.7475   | 0.7894   |
-| 0.071         | 8.0   | 2256 | 0.2065          | 0.7429   | 0.7856   |
 ### Framework versions

 ---
 library_name: transformers
+base_model: MHGanainy/xmod-roberta-base-legal-multi
 tags:
 - generated_from_trainer
 model-index:
 # xmod-shared-roberta-base-legal-multi-downstream-ecthr-b
+This model is a fine-tuned version of [MHGanainy/xmod-roberta-base-legal-multi](https://huggingface.co/MHGanainy/xmod-roberta-base-legal-multi) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.1960
+- Macro-f1: 0.7411
+- Micro-f1: 0.7906
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Macro-f1 | Micro-f1 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
+| No log        | 1.0   | 282  | 0.1859          | 0.6611   | 0.7679   |
+| 0.1734        | 2.0   | 564  | 0.2046          | 0.6510   | 0.7552   |
+| 0.1734        | 3.0   | 846  | 0.1744          | 0.7103   | 0.7856   |
+| 0.1145        | 4.0   | 1128 | 0.1802          | 0.7392   | 0.7924   |
+| 0.1145        | 5.0   | 1410 | 0.1920          | 0.7215   | 0.7874   |
+| 0.0906        | 6.0   | 1692 | 0.1912          | 0.7337   | 0.7867   |
+| 0.0906        | 7.0   | 1974 | 0.1960          | 0.7411   | 0.7906   |
 ### Framework versions

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