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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-base-end2end-questions-generation_squad_single |
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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-base-end2end-questions-generation_squad_single |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.0815 |
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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: 32 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.9402 | 0.26 | 100 | 3.0330 | |
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| 1.7483 | 0.51 | 200 | 3.0355 | |
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| 1.7082 | 0.77 | 300 | 3.0535 | |
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| 1.6808 | 1.02 | 400 | 3.0741 | |
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| 1.6108 | 1.28 | 500 | 3.0716 | |
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| 1.5994 | 1.54 | 600 | 3.0707 | |
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| 1.586 | 1.79 | 700 | 3.0727 | |
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| 1.5731 | 2.05 | 800 | 3.0761 | |
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| 1.5377 | 2.3 | 900 | 3.0893 | |
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| 1.5326 | 2.56 | 1000 | 3.0896 | |
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| 1.5422 | 2.82 | 1100 | 3.0815 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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