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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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