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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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- eli5_cleaned_datav3_60k |
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model-index: |
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- name: t5-base-end2end-questions-generation_eli_aug_squad |
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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_eli_aug_squad |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the eli5_cleaned_datav3_60k dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3334 |
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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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| 2.7135 | 0.26 | 100 | 2.4710 | |
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| 2.2744 | 0.51 | 200 | 2.4154 | |
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| 2.1936 | 0.77 | 300 | 2.3894 | |
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| 2.1313 | 1.03 | 400 | 2.3738 | |
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| 2.0684 | 1.28 | 500 | 2.3643 | |
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| 2.0603 | 1.54 | 600 | 2.3511 | |
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| 2.0437 | 1.8 | 700 | 2.3461 | |
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| 2.0114 | 2.06 | 800 | 2.3412 | |
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| 1.9976 | 2.31 | 900 | 2.3381 | |
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| 1.9883 | 2.57 | 1000 | 2.3349 | |
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| 1.9869 | 2.83 | 1100 | 2.3334 | |
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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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