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scionk
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xlm-roberta-base-finetuned-panx-de

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xlm-roberta
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Files changed (3) hide show
  1. README.md +6 -6
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: 0.19409162266305124
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  ---
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  <!-- 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. -->
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0251
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- - F1: 0.1941
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 1.8089 | 1.0 | 11 | 1.3639 | 0.1455 |
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- | 1.2489 | 2.0 | 22 | 1.1180 | 0.1487 |
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- | 1.0743 | 3.0 | 33 | 1.0251 | 0.1941 |
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  ### Framework versions
 
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.6209294973126778
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5769
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+ - F1: 0.6209
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 1.5008 | 1.0 | 21 | 1.0694 | 0.1551 |
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+ | 0.8936 | 2.0 | 42 | 0.6952 | 0.5945 |
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+ | 0.6384 | 3.0 | 63 | 0.5769 | 0.6209 |
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  ### Framework versions
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