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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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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-v1 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5835 |
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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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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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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: 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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| 1.3236 | 0.95 | 100 | 1.6878 | |
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| 1.5359 | 1.91 | 200 | 1.6104 | |
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| 1.5523 | 2.86 | 300 | 1.5967 | |
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| 1.5121 | 3.82 | 400 | 1.5945 | |
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| 1.4837 | 4.77 | 500 | 1.5844 | |
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| 1.4688 | 5.72 | 600 | 1.5872 | |
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| 1.4392 | 6.68 | 700 | 1.5874 | |
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| 1.4257 | 7.63 | 800 | 1.5849 | |
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| 1.4161 | 8.59 | 900 | 1.5833 | |
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| 1.413 | 9.54 | 1000 | 1.5835 | |
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### Framework versions |
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- Transformers 4.29.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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