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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: huggingface-course/mt5-finetuned-amazon-en-es
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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: vietnamese_mt5_summary_model
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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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+ # vietnamese_mt5_summary_model
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+
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+ This model is a fine-tuned version of [huggingface-course/mt5-finetuned-amazon-en-es](https://huggingface.co/huggingface-course/mt5-finetuned-amazon-en-es) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.4447
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+ - Rouge1: 28.6205
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+ - Rouge2: 12.1892
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+ - Rougel: 22.6626
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+ - Rougelsum: 22.9635
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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: 0.001
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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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+ - lr_scheduler_warmup_steps: 3000
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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+ | 2.7781 | 1.0 | 625 | 1.8391 | 28.5024 | 11.2717 | 22.108 | 22.4361 |
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+ | 2.0622 | 2.0 | 1250 | 1.7576 | 28.0245 | 10.6112 | 21.7353 | 22.0685 |
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+ | 1.8636 | 3.0 | 1875 | 1.6179 | 27.353 | 10.6238 | 21.4686 | 21.7512 |
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+ | 1.7408 | 4.0 | 2500 | 1.6143 | 28.0928 | 11.2857 | 22.06 | 22.3629 |
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+ | 1.6492 | 5.0 | 3125 | 1.5411 | 27.8209 | 10.9184 | 21.6819 | 21.9773 |
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+ | 1.5448 | 6.0 | 3750 | 1.4802 | 28.0433 | 11.4232 | 22.0696 | 22.373 |
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+ | 1.4454 | 7.0 | 4375 | 1.4621 | 27.8552 | 11.1708 | 21.8958 | 22.1949 |
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+ | 1.3636 | 8.0 | 5000 | 1.4522 | 28.3264 | 11.7945 | 22.3563 | 22.6524 |
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+ | 1.2978 | 9.0 | 5625 | 1.4347 | 28.444 | 11.9388 | 22.4279 | 22.7344 |
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+ | 1.2445 | 10.0 | 6250 | 1.4447 | 28.6205 | 12.1892 | 22.6626 | 22.9635 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
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+ "transformers_version": "4.41.2"
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