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nattkorat
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trigger_cls

Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
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  1. README.md +7 -7
  2. model.safetensors +1 -1
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 [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.5874
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- - Accuracy: 0.3093
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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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- | No log | 1.0 | 268 | 1.9260 | 0.2458 |
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- | 1.7682 | 2.0 | 536 | 1.6861 | 0.2972 |
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- | 1.7682 | 3.0 | 804 | 1.6753 | 0.2981 |
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- | 1.5771 | 4.0 | 1072 | 1.6155 | 0.3009 |
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- | 1.5771 | 5.0 | 1340 | 1.5874 | 0.3093 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3421
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+ - Accuracy: 0.8935
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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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+ | No log | 1.0 | 268 | 0.5867 | 0.7542 |
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+ | 0.8538 | 2.0 | 536 | 0.3530 | 0.8888 |
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+ | 0.8538 | 3.0 | 804 | 0.3836 | 0.8514 |
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+ | 0.3121 | 4.0 | 1072 | 0.3208 | 0.8925 |
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+ | 0.3121 | 5.0 | 1340 | 0.3421 | 0.8935 |
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  ### Framework versions
model.safetensors CHANGED
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