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ThuyNT03
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PhoBERT-cls-OCR

Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Inference Endpoints
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Training completed!

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  1. README.md +14 -12
  2. pytorch_model.bin +1 -1
  3. training_args.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: 0.5749
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- - Accuracy: 0.8515
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- - F1: 0.8504
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  ## Model description
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@@ -44,20 +44,22 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 8
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.5828 | 1.0 | 25 | 0.4474 | 0.8119 | 0.8093 |
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- | 0.3067 | 2.0 | 50 | 0.3924 | 0.8218 | 0.8199 |
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- | 0.1806 | 3.0 | 75 | 0.3979 | 0.8416 | 0.8399 |
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- | 0.1043 | 4.0 | 100 | 0.4770 | 0.8317 | 0.8294 |
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- | 0.0688 | 5.0 | 125 | 0.5007 | 0.8614 | 0.8607 |
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- | 0.0406 | 6.0 | 150 | 0.5332 | 0.8614 | 0.8614 |
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- | 0.0387 | 7.0 | 175 | 0.5748 | 0.8515 | 0.8504 |
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- | 0.0328 | 8.0 | 200 | 0.5749 | 0.8515 | 0.8504 |
 
 
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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: 0.6475
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+ - Accuracy: 0.8416
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+ - F1: 0.8422
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.5849 | 1.0 | 25 | 0.4385 | 0.8218 | 0.8225 |
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+ | 0.3382 | 2.0 | 50 | 0.3785 | 0.8614 | 0.8599 |
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+ | 0.1897 | 3.0 | 75 | 0.4339 | 0.8515 | 0.8511 |
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+ | 0.1101 | 4.0 | 100 | 0.4626 | 0.8614 | 0.8599 |
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+ | 0.0798 | 5.0 | 125 | 0.5006 | 0.8713 | 0.8703 |
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+ | 0.0547 | 6.0 | 150 | 0.5670 | 0.8614 | 0.8614 |
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+ | 0.034 | 7.0 | 175 | 0.5568 | 0.8812 | 0.8806 |
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+ | 0.0121 | 8.0 | 200 | 0.6414 | 0.8317 | 0.8326 |
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+ | 0.0207 | 9.0 | 225 | 0.6713 | 0.8416 | 0.8427 |
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+ | 0.0203 | 10.0 | 250 | 0.6475 | 0.8416 | 0.8422 |
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  ### Framework versions
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