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roberta
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  1. README.md +22 -22
  2. model.safetensors +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ 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](https://huggingface.co/vinai/phobert-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.9580
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  ## Model description
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@@ -46,31 +46,31 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 347 | 1.1776 |
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- | 0.7473 | 2.0 | 694 | 1.2132 |
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- | 0.5222 | 3.0 | 1041 | 1.1805 |
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- | 0.5222 | 4.0 | 1388 | 1.3843 |
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- | 0.3822 | 5.0 | 1735 | 1.5071 |
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- | 0.2506 | 6.0 | 2082 | 1.6778 |
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- | 0.2506 | 7.0 | 2429 | 1.8481 |
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- | 0.1706 | 8.0 | 2776 | 2.0948 |
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- | 0.1146 | 9.0 | 3123 | 2.2835 |
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- | 0.1146 | 10.0 | 3470 | 2.3527 |
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- | 0.0985 | 11.0 | 3817 | 2.6191 |
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- | 0.0514 | 12.0 | 4164 | 2.6513 |
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- | 0.0387 | 13.0 | 4511 | 2.8331 |
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- | 0.0387 | 14.0 | 4858 | 2.9059 |
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- | 0.0345 | 15.0 | 5205 | 2.8839 |
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- | 0.0239 | 16.0 | 5552 | 2.9872 |
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- | 0.0239 | 17.0 | 5899 | 3.0006 |
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- | 0.011 | 18.0 | 6246 | 3.0611 |
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- | 0.0138 | 19.0 | 6593 | 3.0957 |
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- | 0.0138 | 20.0 | 6940 | 3.1291 |
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  ### Framework versions
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  - Transformers 4.35.2
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- - Pytorch 2.4.0+cu121
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  - Datasets 2.16.1
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  - Tokenizers 0.15.2
 
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  This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.2168
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 347 | 1.7080 |
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+ | 1.7499 | 2.0 | 694 | 1.6328 |
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+ | 1.5826 | 3.0 | 1041 | 1.5591 |
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+ | 1.5826 | 4.0 | 1388 | 1.5279 |
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+ | 1.4058 | 5.0 | 1735 | 1.5295 |
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+ | 1.2876 | 6.0 | 2082 | 1.4994 |
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+ | 1.2876 | 7.0 | 2429 | 1.5424 |
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+ | 1.1541 | 8.0 | 2776 | 1.5887 |
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+ | 1.0159 | 9.0 | 3123 | 1.6156 |
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+ | 1.0159 | 10.0 | 3470 | 1.6521 |
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+ | 0.908 | 11.0 | 3817 | 1.7413 |
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+ | 0.7714 | 12.0 | 4164 | 1.8127 |
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+ | 0.6767 | 13.0 | 4511 | 1.8821 |
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+ | 0.6767 | 14.0 | 4858 | 1.9855 |
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+ | 0.5607 | 15.0 | 5205 | 2.0127 |
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+ | 0.4934 | 16.0 | 5552 | 2.0784 |
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+ | 0.4934 | 17.0 | 5899 | 2.1366 |
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+ | 0.4446 | 18.0 | 6246 | 2.1425 |
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+ | 0.3855 | 19.0 | 6593 | 2.1683 |
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+ | 0.3855 | 20.0 | 6940 | 2.1682 |
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  ### Framework versions
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  - Transformers 4.35.2
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+ - Pytorch 2.4.1+cu121
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  - Datasets 2.16.1
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  - Tokenizers 0.15.2
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