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  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. runs/Jan07_15-15-14_88bf6360c530/events.out.tfevents.1736262917.88bf6360c530.2792.0 +2 -2
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [tabularisai/multilingual-sentiment-analysis](https://huggingface.co/tabularisai/multilingual-sentiment-analysis) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.1759
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- - Accuracy: 0.5359
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 2.8667 | 1.0 | 612 | 2.1765 | 0.4118 |
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- | 1.9316 | 2.0 | 1224 | 1.9324 | 0.4706 |
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- | 1.4498 | 3.0 | 1836 | 1.9724 | 0.4641 |
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- | 1.1667 | 4.0 | 2448 | 1.9999 | 0.5229 |
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- | 0.5439 | 5.0 | 3060 | 2.3656 | 0.5229 |
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- | 0.3893 | 6.0 | 3672 | 2.5779 | 0.5163 |
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- | 0.3135 | 7.0 | 4284 | 2.8058 | 0.5490 |
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- | 0.2451 | 8.0 | 4896 | 3.0677 | 0.5425 |
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- | 0.1866 | 9.0 | 5508 | 3.1764 | 0.5359 |
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- | 0.183 | 10.0 | 6120 | 3.1759 | 0.5359 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [tabularisai/multilingual-sentiment-analysis](https://huggingface.co/tabularisai/multilingual-sentiment-analysis) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.0935
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+ - Accuracy: 0.5621
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 2.795 | 1.0 | 612 | 2.1355 | 0.4118 |
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+ | 1.9349 | 2.0 | 1224 | 1.9007 | 0.5098 |
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+ | 1.4273 | 3.0 | 1836 | 1.8531 | 0.4771 |
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+ | 1.1468 | 4.0 | 2448 | 1.9540 | 0.5490 |
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+ | 0.5264 | 5.0 | 3060 | 2.3194 | 0.5556 |
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+ | 0.3715 | 6.0 | 3672 | 2.4709 | 0.5686 |
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+ | 0.3075 | 7.0 | 4284 | 2.8005 | 0.5556 |
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+ | 0.2411 | 8.0 | 4896 | 2.9736 | 0.5490 |
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+ | 0.1735 | 9.0 | 5508 | 3.0577 | 0.5621 |
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+ | 0.1708 | 10.0 | 6120 | 3.0935 | 0.5621 |
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  ### Framework versions
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