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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 [t5-base](https://huggingface.co/t5-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: 1.5674 |
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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: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.5884 | 0.34 | 100 | 1.9159 | |
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| 1.9705 | 0.68 | 200 | 1.7310 | |
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| 1.8439 | 1.02 | 300 | 1.6672 | |
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| 1.7426 | 1.35 | 400 | 1.6382 | |
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| 1.7147 | 1.69 | 500 | 1.6199 | |
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| 1.6908 | 2.03 | 600 | 1.6053 | |
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| 1.6315 | 2.37 | 700 | 1.5967 | |
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| 1.627 | 2.71 | 800 | 1.5939 | |
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| 1.6122 | 3.05 | 900 | 1.5877 | |
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| 1.5706 | 3.39 | 1000 | 1.5861 | |
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| 1.5708 | 3.73 | 1100 | 1.5742 | |
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| 1.5534 | 4.06 | 1200 | 1.5798 | |
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| 1.5351 | 4.4 | 1300 | 1.5738 | |
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| 1.5226 | 4.74 | 1400 | 1.5757 | |
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| 1.5187 | 5.08 | 1500 | 1.5727 | |
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| 1.4963 | 5.42 | 1600 | 1.5710 | |
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| 1.4841 | 5.76 | 1700 | 1.5668 | |
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| 1.5025 | 6.1 | 1800 | 1.5688 | |
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| 1.4778 | 6.44 | 1900 | 1.5717 | |
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| 1.4769 | 6.77 | 2000 | 1.5674 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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