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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 |
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base_model: t5-base |
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model-index: |
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- name: t5-e2e-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-e2e-questions-generation |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the squad dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5634 |
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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: 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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| No log | 1.0 | 295 | 1.6673 | |
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| 1.9714 | 2.0 | 590 | 1.6021 | |
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| 1.9714 | 3.0 | 885 | 1.5820 | |
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| 1.6225 | 4.0 | 1180 | 1.5665 | |
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| 1.6225 | 5.0 | 1475 | 1.5643 | |
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| 1.5252 | 6.0 | 1770 | 1.5676 | |
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| 1.4558 | 7.0 | 2065 | 1.5581 | |
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| 1.4558 | 8.0 | 2360 | 1.5600 | |
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| 1.4169 | 9.0 | 2655 | 1.5604 | |
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| 1.4169 | 10.0 | 2950 | 1.5634 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.11.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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