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Training completed!

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  1. README.md +68 -0
  2. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ base_model: vinai/phobert-base-v2
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ - f1
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+ model-index:
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+ - name: PhoBERT-train-aug_replace_synonym
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # PhoBERT-train-aug_replace_synonym
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+
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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: 1.1202
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+ - Accuracy: 0.68
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+ - F1: 0.6901
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.8957 | 1.0 | 86 | 0.7282 | 0.75 | 0.7559 |
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+ | 0.6001 | 2.0 | 172 | 0.6158 | 0.74 | 0.7414 |
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+ | 0.3969 | 3.0 | 258 | 0.7190 | 0.76 | 0.7606 |
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+ | 0.2842 | 4.0 | 344 | 0.9430 | 0.6 | 0.5878 |
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+ | 0.2551 | 5.0 | 430 | 0.9202 | 0.68 | 0.6905 |
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+ | 0.1586 | 6.0 | 516 | 1.0452 | 0.7 | 0.7089 |
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+ | 0.1387 | 7.0 | 602 | 1.1442 | 0.67 | 0.6789 |
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+ | 0.1218 | 8.0 | 688 | 1.1202 | 0.68 | 0.6901 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.1
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3
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