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--- |
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license: apache-2.0 |
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base_model: google/flan-t5-base |
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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-base-finetuned-python_qa |
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results: [] |
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language: |
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- en |
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--- |
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# flan-t5-base-finetuned-python_qa_v2 |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the |
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[Python Questions from Stack Overflow](https://www.kaggle.com/datasets/stackoverflow/pythonquestions) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9023 |
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- Rouge1: 0.1919 |
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- Rouge2: 0.0535 |
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- Rougel: 0.1492 |
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- Rougelsum: 0.1655 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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- Question answering |
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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: 4 |
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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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| 2.0314 | 1.0 | 2000 | 1.9083 | 0.1876 | 0.0546 | 0.1485 | 0.1640 | |
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| 1.9586 | 2.0 | 4000 | 1.9031 | 0.1896 | 0.0531 | 0.1485 | 0.1643 | |
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| 1.923 | 3.0 | 6000 | 1.9023 | 0.1919 | 0.0535 | 0.1492 | 0.1655 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
