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Ludo33
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e5_Eau_Multilabel_Topic_Sentiment

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End of training

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  1. README.md +10 -11
  2. classifier.pt +1 -1
  3. model.safetensors +1 -1
README.md CHANGED
@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [intfloat/multilingual-e5-large-instruct](https://huggingface.co/intfloat/multilingual-e5-large-instruct) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2613
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- - F1 Topic: 0.9205
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- - F1 Sentiment: 0.9018
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- - F1 Macro Avg: 0.9112
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  ## Model description
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@@ -54,13 +54,12 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 Topic | F1 Sentiment | F1 Macro Avg |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------------:|:------------:|
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- | 1.0863 | 1.0 | 148 | 0.8031 | 0.5733 | 0.6922 | 0.6328 |
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- | 0.5734 | 2.0 | 296 | 0.3777 | 0.8058 | 0.8242 | 0.8150 |
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- | 0.2858 | 3.0 | 444 | 0.2523 | 0.8957 | 0.8652 | 0.8805 |
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- | 0.2023 | 4.0 | 592 | 0.2357 | 0.9099 | 0.8779 | 0.8939 |
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- | 0.1422 | 5.0 | 740 | 0.2437 | 0.9189 | 0.8927 | 0.9058 |
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- | 0.1052 | 6.0 | 888 | 0.2651 | 0.9197 | 0.8946 | 0.9071 |
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- | 0.085 | 7.0 | 1036 | 0.2613 | 0.9205 | 0.9018 | 0.9112 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [intfloat/multilingual-e5-large-instruct](https://huggingface.co/intfloat/multilingual-e5-large-instruct) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1566
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+ - F1 Topic: 0.9104
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+ - F1 Sentiment: 0.8933
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+ - F1 Macro Avg: 0.9019
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 Topic | F1 Sentiment | F1 Macro Avg |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------------:|:------------:|
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+ | 0.5731 | 1.0 | 148 | 0.4031 | 0.4584 | 0.6075 | 0.5330 |
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+ | 0.2812 | 2.0 | 296 | 0.1726 | 0.7873 | 0.8019 | 0.7946 |
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+ | 0.1396 | 3.0 | 444 | 0.1214 | 0.8694 | 0.8576 | 0.8635 |
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+ | 0.0982 | 4.0 | 592 | 0.1244 | 0.8886 | 0.8643 | 0.8765 |
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+ | 0.0732 | 5.0 | 740 | 0.1311 | 0.9118 | 0.8850 | 0.8984 |
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+ | 0.0508 | 6.0 | 888 | 0.1566 | 0.9104 | 0.8933 | 0.9019 |
 
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  ### Framework versions
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