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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- squad_modified_for_t5_qg |
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model-index: |
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- name: t5-end2end-questions-generation |
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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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# t5-end2end-questions-generation |
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This model is a fine-tuned version of [muchad/idt5-base](https://huggingface.co/muchad/idt5-base) on the squad_modified_for_t5_qg dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8449 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 64 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 7.3156 | 0.34 | 100 | 2.2625 | |
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| 2.5509 | 0.67 | 200 | 2.0394 | |
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| 2.3619 | 1.01 | 300 | 1.9596 | |
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| 2.2501 | 1.34 | 400 | 1.9272 | |
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| 2.2 | 1.68 | 500 | 1.9074 | |
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| 2.1682 | 2.02 | 600 | 1.8882 | |
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| 2.1222 | 2.35 | 700 | 1.8893 | |
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| 2.0874 | 2.69 | 800 | 1.8722 | |
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| 2.0751 | 3.03 | 900 | 1.8656 | |
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| 2.0501 | 3.36 | 1000 | 1.8506 | |
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| 2.0338 | 3.7 | 1100 | 1.8491 | |
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| 2.0326 | 4.03 | 1200 | 1.8428 | |
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| 1.9992 | 4.37 | 1300 | 1.8445 | |
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| 2.0081 | 4.71 | 1400 | 1.8449 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.0 |
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- Tokenizers 0.13.3 |
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