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ThuyNT03
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PhoBERT-Final_Mixed-aug_insert_w2v-2

Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Inference Endpoints
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  1. README.md +10 -10
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,9 +17,9 @@ 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: 1.2857
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  - Accuracy: 0.69
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- - F1: 0.6982
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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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- | 0.8845 | 1.0 | 85 | 0.7383 | 0.74 | 0.7394 |
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- | 0.5257 | 2.0 | 170 | 0.6724 | 0.73 | 0.7363 |
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- | 0.3466 | 3.0 | 255 | 0.7791 | 0.69 | 0.6993 |
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- | 0.2214 | 4.0 | 340 | 0.9027 | 0.67 | 0.6779 |
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- | 0.1508 | 5.0 | 425 | 1.0901 | 0.68 | 0.6875 |
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- | 0.1053 | 6.0 | 510 | 1.2204 | 0.7 | 0.7074 |
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- | 0.0832 | 7.0 | 595 | 1.2234 | 0.7 | 0.7068 |
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- | 0.0856 | 8.0 | 680 | 1.2857 | 0.69 | 0.6982 |
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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: 1.2182
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  - Accuracy: 0.69
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+ - F1: 0.6910
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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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+ | 0.9152 | 1.0 | 86 | 0.7599 | 0.68 | 0.6556 |
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+ | 0.6043 | 2.0 | 172 | 0.7114 | 0.7 | 0.7023 |
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+ | 0.4061 | 3.0 | 258 | 0.7314 | 0.73 | 0.7344 |
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+ | 0.2797 | 4.0 | 344 | 0.9199 | 0.71 | 0.7051 |
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+ | 0.183 | 5.0 | 430 | 1.0362 | 0.71 | 0.7083 |
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+ | 0.1371 | 6.0 | 516 | 1.1032 | 0.71 | 0.7065 |
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+ | 0.0894 | 7.0 | 602 | 1.1811 | 0.71 | 0.7101 |
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+ | 0.0779 | 8.0 | 688 | 1.2182 | 0.69 | 0.6910 |
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  ### Framework versions
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