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phunganhsang
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PhoBert_Lexical_CITA

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Safetensors
roberta
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End of training

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  1. README.md +13 -13
  2. model.safetensors +1 -1
README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6736
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- - Accuracy: 0.783
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- - F1: 0.7825
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  ## Model description
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@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.5393 | 1.0 | 250 | 0.4700 | 0.7695 | 0.7680 |
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- | 0.4508 | 2.0 | 500 | 0.4686 | 0.7735 | 0.7735 |
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- | 0.3951 | 3.0 | 750 | 0.4711 | 0.78 | 0.7800 |
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- | 0.3402 | 4.0 | 1000 | 0.4895 | 0.7845 | 0.7846 |
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- | 0.2947 | 5.0 | 1250 | 0.5293 | 0.782 | 0.7815 |
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- | 0.2516 | 6.0 | 1500 | 0.5567 | 0.7775 | 0.7773 |
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- | 0.2199 | 7.0 | 1750 | 0.5993 | 0.787 | 0.7857 |
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- | 0.192 | 8.0 | 2000 | 0.6361 | 0.7825 | 0.7816 |
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- | 0.1705 | 9.0 | 2250 | 0.6498 | 0.7835 | 0.7834 |
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- | 0.1526 | 10.0 | 2500 | 0.6736 | 0.783 | 0.7825 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6532
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+ - Accuracy: 0.787
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+ - F1: 0.7861
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.5527 | 1.0 | 250 | 0.4730 | 0.7735 | 0.7718 |
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+ | 0.4624 | 2.0 | 500 | 0.4696 | 0.7705 | 0.7706 |
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+ | 0.4065 | 3.0 | 750 | 0.4645 | 0.7805 | 0.7805 |
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+ | 0.3483 | 4.0 | 1000 | 0.4764 | 0.7915 | 0.7916 |
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+ | 0.3023 | 5.0 | 1250 | 0.5196 | 0.7905 | 0.7903 |
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+ | 0.2612 | 6.0 | 1500 | 0.5294 | 0.793 | 0.7917 |
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+ | 0.2304 | 7.0 | 1750 | 0.5682 | 0.788 | 0.7867 |
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+ | 0.1985 | 8.0 | 2000 | 0.6258 | 0.791 | 0.7901 |
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+ | 0.1776 | 9.0 | 2250 | 0.6364 | 0.786 | 0.7855 |
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+ | 0.164 | 10.0 | 2500 | 0.6532 | 0.787 | 0.7861 |
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  ### Framework versions
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