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---
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license: apache-2.0
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base_model: google/flan-t5-small
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: flan-t5-small-finetuned-question-generation
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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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# flan-t5-small-finetuned-question-generation
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5888
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- Rouge1: 49.9368
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- Rouge2: 27.2185
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- Rougel: 46.1729
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- Rougelsum: 46.1900
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- Gen Len: 13.7801
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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: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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| 1.8453 | 1.0 | 10917 | 1.6093 | 47.9986 | 25.3028 | 44.3072 | 44.3345 | 13.6285 |
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| 1.6998 | 2.0 | 21834 | 1.5955 | 49.1185 | 26.2998 | 45.4201 | 45.4194 | 13.4627 |
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| 1.6257 | 3.0 | 32751 | 1.5933 | 49.4151 | 26.7655 | 45.6769 | 45.6809 | 13.7603 |
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| 1.5722 | 4.0 | 43668 | 1.5822 | 49.4727 | 26.8015 | 45.8010 | 45.8247 | 13.6301 |
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| 1.5337 | 5.0 | 54585 | 1.5881 | 49.5572 | 26.8461 | 45.8811 | 45.8919 | 13.7029 |
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| 1.5045 | 6.0 | 65502 | 1.5852 | 49.7863 | 27.0921 | 46.0625 | 46.0677 | 13.8099 |
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| 1.4822 | 7.0 | 76419 | 1.5867 | 49.7769 | 27.0550 | 46.0091 | 46.0228 | 13.8027 |
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| 1.4674 | 8.0 | 87336 | 1.5888 | 49.9368 | 27.2185 | 46.1729 | 46.1900 | 13.7801 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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