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xlm-roberta-base-finetuned-panx-de

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vonewman commited on Sep 12, 2023

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1 Parent(s): 4010f9f

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README.md +8 -8
config.json +1 -0
pytorch_model.bin +2 -2
training_args.bin +1 -1

README.md CHANGED Viewed

@@ -16,13 +16,13 @@ model-index:
     dataset:
       name: xtreme
       type: xtreme
-      config: PAN-X.de
       split: validation
-      args: PAN-X.de
     metrics:
     - name: F1
       type: f1
-      value: 0.8572885388929805
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1326
-- F1: 0.8573
 ## Model description
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 263  | 0.1725          | 0.8060 |
-| 0.2115        | 2.0   | 526  | 0.1479          | 0.8407 |
-| 0.2115        | 3.0   | 789  | 0.1326          | 0.8573 |
 ### Framework versions

     dataset:
       name: xtreme
       type: xtreme
+      config: PAN-X.fr
       split: validation
+      args: PAN-X.fr
     metrics:
     - name: F1
       type: f1
+      value: 0.11652470187393525
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.2480
+- F1: 0.1165
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
+| No log        | 1.0   | 6    | 1.5093          | 0.0    |
+| 1.7966        | 2.0   | 12   | 1.3177          | 0.0677 |
+| 1.7966        | 3.0   | 18   | 1.2480          | 0.1165 |
 ### Framework versions

config.json CHANGED Viewed

@@ -11,6 +11,7 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
     "0": "O",
     "1": "B-PER",
     "2": "I-PER",

   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
+    "-100": "IGN",
     "0": "O",
     "1": "B-PER",
     "2": "I-PER",

pytorch_model.bin CHANGED Viewed

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