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README.md
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This model is a fine-tuned version of [NlpHUST/gpt2-vietnamese](https://huggingface.co/NlpHUST/gpt2-vietnamese) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_runtime: 40.4638
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- eval_samples_per_second: 180.68
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- eval_steps_per_second: 22.588
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- epoch: 2.34
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- step: 40000
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## Model description
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- train_batch_size: 8
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- eval_batch_size: 8
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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: cosine
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- num_epochs: 7
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### Framework versions
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- Transformers 4.30.2
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This model is a fine-tuned version of [NlpHUST/gpt2-vietnamese](https://huggingface.co/NlpHUST/gpt2-vietnamese) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.7322
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## Model description
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.2
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- num_epochs: 7
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 2.9759 | 0.66 | 1400 | 2.6781 |
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| 2.5019 | 1.31 | 2800 | 2.4921 |
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| 2.3352 | 1.97 | 4200 | 2.3726 |
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| 2.0759 | 2.62 | 5600 | 2.3240 |
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| 1.9303 | 3.28 | 7000 | 2.3279 |
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| 1.7867 | 3.93 | 8400 | 2.2556 |
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| 1.5133 | 4.59 | 9800 | 2.3424 |
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| 1.3726 | 5.25 | 11200 | 2.5290 |
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| 1.1925 | 5.9 | 12600 | 2.5132 |
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| 1.0211 | 6.56 | 14000 | 2.7322 |
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### Framework versions
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- Transformers 4.30.2
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