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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: flan-t5-end2end-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-end2end-question-generation |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6214 |
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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: 5e-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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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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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: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.6935 | 0.68 | 100 | 1.9503 | |
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| 2.0864 | 1.35 | 200 | 1.8105 | |
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| 1.9497 | 2.03 | 300 | 1.7440 | |
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| 1.8739 | 2.71 | 400 | 1.6970 | |
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| 1.8173 | 3.39 | 500 | 1.6763 | |
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| 1.7876 | 4.06 | 600 | 1.6613 | |
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| 1.7596 | 4.74 | 700 | 1.6343 | |
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| 1.7368 | 5.42 | 800 | 1.6326 | |
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| 1.7225 | 6.1 | 900 | 1.6207 | |
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| 1.7138 | 6.77 | 1000 | 1.6214 | |
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### Framework versions |
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- Transformers 4.27.4 |
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- Pytorch 1.13.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.2 |
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