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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: 1.5998
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- Rouge1: 50.1718
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- Rouge2: 27.5603
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- Rougel: 46.3981
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- Rougelsum: 46.3975
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- Gen Len: 13.7948
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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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- 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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| 1.819 | 1.0 | 10913 | 1.6159 | 48.8496 | 26.1270 | 45.1331 | 45.1442 | 13.8064 |
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| 1.6487 | 2.0 | 21826 | 1.5947 | 48.8142 | 26.2209 | 45.1475 | 45.1482 | 13.8229 |
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| 1.5546 | 3.0 | 32739 | 1.5910 | 49.6261 | 27.1655 | 45.9472 | 45.9535 | 13.9086 |
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| 1.4862 | 4.0 | 43652 | 1.5887 | 49.9953 | 27.4630 | 46.2824 | 46.2841 | 13.7223 |
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| 1.4327 | 5.0 | 54565 | 1.5950 | 50.1663 | 27.6038 | 46.4602 | 46.4721 | 13.7106 |
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| 1.3907 | 6.0 | 65478 | 1.5910 | 49.9510 | 27.4795 | 46.2230 | 46.2218 | 13.8172 |
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| 1.3598 | 7.0 | 76391 | 1.5973 | 50.1049 | 27.4804 | 46.3268 | 46.3300 | 13.7966 |
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| 1.3388 | 8.0 | 87304 | 1.5998 | 50.1718 | 27.5603 | 46.3981 | 46.3975 | 13.7948 |
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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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