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End of training

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README.md ADDED
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+ ---
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+ base_model: csebuetnlp/mT5_multilingual_XLSum
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: SurpriseNews1
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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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+ # SurpriseNews1
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+
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+ This model is a fine-tuned version of [csebuetnlp/mT5_multilingual_XLSum](https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.3676
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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: 2
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+ - eval_batch_size: 2
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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: 1000
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.9143 | 1.23 | 500 | 3.6579 |
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+ | 3.2691 | 2.45 | 1000 | 3.3719 |
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+ | 2.9441 | 3.68 | 1500 | 3.2650 |
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+ | 2.7016 | 4.9 | 2000 | 3.2738 |
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+ | 2.1448 | 6.13 | 2500 | 3.2987 |
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+ | 2.4149 | 7.35 | 3000 | 3.3407 |
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+ | 2.1251 | 8.58 | 3500 | 3.3605 |
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+ | 1.9645 | 9.8 | 4000 | 3.3676 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.1
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