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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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- the_squad_qg
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model-index:
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- name: t5-small-qg-2.0
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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-small-qg-2.0
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the the_squad_qg dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9589
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 16
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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: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.2981 | 0.68 | 100 | 2.3598 |
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| 2.4962 | 1.36 | 200 | 2.2479 |
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| 2.374 | 2.03 | 300 | 2.1625 |
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| 2.2951 | 2.71 | 400 | 2.0871 |
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| 2.2279 | 3.39 | 500 | 2.0532 |
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| 2.1926 | 4.07 | 600 | 2.0325 |
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| 2.1605 | 4.75 | 700 | 2.0154 |
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| 2.1438 | 5.42 | 800 | 1.9920 |
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| 2.1154 | 6.1 | 900 | 1.9829 |
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| 2.1014 | 6.78 | 1000 | 1.9782 |
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| 2.0976 | 7.46 | 1100 | 1.9649 |
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| 2.0817 | 8.14 | 1200 | 1.9647 |
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| 2.0767 | 8.81 | 1300 | 1.9631 |
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| 2.0749 | 9.49 | 1400 | 1.9589 |
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### Framework versions
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- Transformers 4.27.3
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- Pytorch 2.0.0
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- Datasets 2.10.1
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- Tokenizers 0.11.0
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