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End of training

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README.md ADDED
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+ ---
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+ base_model: vinai/bartpho-syllable-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: bartpho-syllable-base-ceg-pair-lexnorm-wiki20k
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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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+ # bartpho-syllable-base-ceg-pair-lexnorm-wiki20k
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+
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+ This model is a fine-tuned version of [vinai/bartpho-syllable-base](https://huggingface.co/vinai/bartpho-syllable-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0441
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+ - Rouge1: 83.8906
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+ - Rouge2: 76.8215
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+ - Rougel: 83.4733
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+ - Rougelsum: 83.4783
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+ - Gen Len: 14.9751
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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: 5e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | 0.1329 | 1.0 | 625 | 0.0572 | 80.5125 | 71.817 | 80.0125 | 79.9934 | 14.9828 |
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+ | 0.0424 | 2.0 | 1250 | 0.0447 | 81.8041 | 73.7589 | 81.3035 | 81.2949 | 14.8986 |
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+ | 0.0253 | 3.0 | 1875 | 0.0449 | 82.4467 | 74.7259 | 81.9169 | 81.906 | 15.0067 |
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+ | 0.0167 | 4.0 | 2500 | 0.0427 | 83.3339 | 76.0786 | 82.8455 | 82.8229 | 15.0010 |
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+ | 0.0116 | 5.0 | 3125 | 0.0444 | 83.4771 | 76.234 | 83.0177 | 83.008 | 15.0144 |
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+ | 0.0082 | 6.0 | 3750 | 0.0438 | 83.6459 | 76.467 | 83.2461 | 83.2372 | 14.9933 |
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+ | 0.0061 | 7.0 | 4375 | 0.0440 | 83.699 | 76.5119 | 83.3283 | 83.3175 | 14.9684 |
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+ | 0.0047 | 8.0 | 5000 | 0.0447 | 83.7618 | 76.6774 | 83.346 | 83.3564 | 14.9349 |
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+ | 0.0038 | 9.0 | 5625 | 0.0436 | 83.9239 | 76.845 | 83.4885 | 83.5062 | 14.9732 |
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+ | 0.0032 | 10.0 | 6250 | 0.0441 | 83.8906 | 76.8215 | 83.4733 | 83.4783 | 14.9751 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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