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README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- hotpot_qa
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metrics:
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- rouge
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model-index:
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- name: t5-qg-finetuned-hotpotqa
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: hotpot_qa
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type: hotpot_qa
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config: distractor
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split: train
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args: distractor
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metrics:
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- name: Rouge1
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type: rouge
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value: 44.4906
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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-qg-finetuned-hotpotqa
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This model is a fine-tuned version of [p208p2002/t5-squad-qg-hl](https://huggingface.co/p208p2002/t5-squad-qg-hl) on the hotpot_qa dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2046
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- Rouge1: 44.4906
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- Rouge2: 26.3193
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- Rougel: 39.9929
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- Rougelsum: 39.9879
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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: 5.6e-05
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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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- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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| 1.379 | 1.0 | 1875 | 1.2998 | 43.0766 | 24.8898 | 38.4029 | 38.4874 |
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| 1.2011 | 2.0 | 3750 | 1.2225 | 44.7538 | 26.1406 | 39.9817 | 39.9714 |
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| 1.1027 | 3.0 | 5625 | 1.2046 | 44.4906 | 26.3193 | 39.9929 | 39.9879 |
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.12.1+cu113
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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