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Training completed!

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README.md CHANGED
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # xlm-roberta-base-finetuned-panx-39-langs
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- This model is a fine-tuned version of [seddiktrk/xlm-roberta-base-finetuned-panx-39-langs](https://huggingface.co/seddiktrk/xlm-roberta-base-finetuned-panx-39-langs) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1650
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- - F1: 0.8856
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  ## Model description
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@@ -43,20 +43,22 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 1
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | F1 |
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- |:-------------:|:-----:|:-----:|:---------------:|:------:|
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- | 0.1912 | 0.12 | 6303 | 0.2009 | 0.8458 |
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- | 0.1901 | 0.24 | 12606 | 0.1971 | 0.8573 |
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- | 0.1821 | 0.36 | 18909 | 0.1946 | 0.8612 |
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- | 0.175 | 0.48 | 25212 | 0.1813 | 0.8671 |
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- | 0.1688 | 0.6 | 31515 | 0.1770 | 0.8729 |
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- | 0.1637 | 0.72 | 37818 | 0.1674 | 0.8781 |
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- | 0.1536 | 0.84 | 44121 | 0.1665 | 0.8822 |
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- | 0.146 | 0.96 | 50424 | 0.1650 | 0.8856 |
 
 
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  ### Framework versions
 
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  # xlm-roberta-base-finetuned-panx-39-langs
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+ This model is a fine-tuned version of [seddiktrk/xlm-roberta-base-finetuned-panx-39-langs](https://huggingface.co/seddiktrk/xlm-roberta-base-finetuned-panx-39-langs) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2441
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+ - F1: 0.8481
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 2
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.1866 | 0.2 | 375 | 0.2644 | 0.8293 |
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+ | 0.1999 | 0.4 | 750 | 0.2374 | 0.8313 |
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+ | 0.1946 | 0.6 | 1125 | 0.2375 | 0.8300 |
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+ | 0.1868 | 0.8 | 1500 | 0.2280 | 0.8377 |
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+ | 0.1854 | 1.0 | 1875 | 0.2179 | 0.8419 |
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+ | 0.1224 | 1.2 | 2250 | 0.2557 | 0.8426 |
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+ | 0.1261 | 1.4 | 2625 | 0.2493 | 0.8436 |
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+ | 0.1226 | 1.6 | 3000 | 0.2413 | 0.8460 |
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+ | 0.1247 | 1.8 | 3375 | 0.2440 | 0.8469 |
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+ | 0.1192 | 2.0 | 3750 | 0.2441 | 0.8481 |
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  ### Framework versions
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