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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: GeneralNews_9_loadbest |
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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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# GeneralNews_9_loadbest |
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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: 2.7052 |
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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: 5e-05 |
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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: 1000 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.4665 | 1.0 | 500 | 3.0865 | |
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| 3.2219 | 2.0 | 1000 | 2.8680 | |
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| 3.0254 | 3.0 | 1500 | 2.7771 | |
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| 2.8798 | 4.0 | 2000 | 2.7572 | |
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| 2.7943 | 5.0 | 2500 | 2.7339 | |
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| 2.6988 | 6.0 | 3000 | 2.7126 | |
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| 2.4587 | 7.0 | 3500 | 2.7086 | |
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| 2.4769 | 8.0 | 4000 | 2.7076 | |
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| 2.5388 | 9.0 | 4500 | 2.7075 | |
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| 2.4411 | 10.0 | 5000 | 2.7052 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.1 |
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