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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-end-to-end-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-end-to-end-questions-generation |
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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: 1.2854 |
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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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| 1.7656 | 0.43 | 100 | 1.3979 | |
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| 1.5042 | 0.86 | 200 | 1.3440 | |
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| 1.3992 | 1.3 | 300 | 1.3230 | |
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| 1.3654 | 1.73 | 400 | 1.3035 | |
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| 1.3329 | 2.16 | 500 | 1.2980 | |
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| 1.2613 | 2.59 | 600 | 1.2880 | |
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| 1.2684 | 3.02 | 700 | 1.2798 | |
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| 1.2107 | 3.45 | 800 | 1.2847 | |
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| 1.2081 | 3.89 | 900 | 1.2808 | |
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| 1.1707 | 4.32 | 1000 | 1.2881 | |
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| 1.1633 | 4.75 | 1100 | 1.2814 | |
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| 1.1607 | 5.18 | 1200 | 1.2839 | |
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| 1.1272 | 5.61 | 1300 | 1.2852 | |
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| 1.1266 | 6.05 | 1400 | 1.2838 | |
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| 1.1045 | 6.48 | 1500 | 1.2857 | |
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| 1.1117 | 6.91 | 1600 | 1.2854 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0 |
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- Datasets 2.12.0 |
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- Tokenizers 0.11.0 |
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