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README.md
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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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