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Model save

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  1. README.md +4 -4
  2. model.safetensors +1 -1
README.md CHANGED
@@ -44,7 +44,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the cnec dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9843
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  - Precision: 0.0
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  - Recall: 0.0
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  - F1: 0.0
@@ -79,9 +79,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:---:|:--------:|
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- | 1.0475 | 1.0 | 7193 | 0.9939 | 0.0 | 0.0 | 0.0 | 0.7810 |
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- | 0.9691 | 2.0 | 14386 | 0.9840 | 0.0 | 0.0 | 0.0 | 0.7810 |
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- | 0.9341 | 3.0 | 21579 | 0.9843 | 0.0 | 0.0 | 0.0 | 0.7810 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the cnec dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9941
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  - Precision: 0.0
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  - Recall: 0.0
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  - F1: 0.0
 
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:---:|:--------:|
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+ | 1.0478 | 1.0 | 7193 | 1.0002 | 0.0 | 0.0 | 0.0 | 0.7810 |
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+ | 0.9754 | 2.0 | 14386 | 0.9872 | 0.0 | 0.0 | 0.0 | 0.7810 |
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+ | 0.9377 | 3.0 | 21579 | 0.9941 | 0.0 | 0.0 | 0.0 | 0.7810 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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