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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: muchad/idt5-base |
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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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- bleu |
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model-index: |
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- name: idt5-base-qaqg |
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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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# idt5-base-qaqg |
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This model is a fine-tuned version of [muchad/idt5-base](https://huggingface.co/muchad/idt5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2262 |
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- Rouge1: 0.4339 |
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- Rouge2: 0.2405 |
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- Rougel: 0.4040 |
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- Rougelsum: 0.4051 |
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- Bleu: 0.1913 |
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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: 0.0001 |
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:| |
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| 1.413 | 1.0 | 4695 | 1.3393 | 0.4005 | 0.2102 | 0.3742 | 0.3750 | 0.1641 | |
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| 1.2176 | 2.0 | 9390 | 1.2736 | 0.4212 | 0.2289 | 0.3924 | 0.3933 | 0.1809 | |
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| 1.1113 | 3.0 | 14085 | 1.2329 | 0.4270 | 0.2343 | 0.3978 | 0.3990 | 0.1851 | |
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| 1.028 | 4.0 | 18780 | 1.2241 | 0.4335 | 0.2383 | 0.4035 | 0.4045 | 0.1901 | |
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| 0.9813 | 5.0 | 23475 | 1.2262 | 0.4339 | 0.2405 | 0.4040 | 0.4051 | 0.1913 | |
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### Framework versions |
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- Transformers 4.46.0 |
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- Pytorch 2.4.0a0+f70bd71a48.nv24.06 |
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- Datasets 3.0.2 |
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- Tokenizers 0.20.1 |
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