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--- |
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base_model: csebuetnlp/mT5_multilingual_XLSum |
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tags: |
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- summary |
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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: results |
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results: [] |
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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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# results |
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This model is a fine-tuned version of [csebuetnlp/mT5_multilingual_XLSum](https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9889 |
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- Rouge1: 37.6658 |
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- Rouge2: 25.8954 |
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- Rougel: 30.7965 |
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- Rougelsum: 30.7895 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 2 |
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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: 16 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:| |
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| 2.8494 | 0.9888 | 55 | 2.2040 | 35.3021 | 24.7331 | 29.5323 | 29.5469 | |
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| 2.3422 | 1.9955 | 111 | 2.0275 | 37.3011 | 25.7964 | 30.7416 | 30.7363 | |
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| 2.2332 | 2.9663 | 165 | 1.9889 | 37.6658 | 25.8954 | 30.7965 | 30.7895 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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