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--- |
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license: apache-2.0 |
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base_model: facebook/bart-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: question-generator |
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results: [] |
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datasets: |
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- rajpurkar/squad |
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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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# question-generator |
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the SQUAD dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.1315 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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### Sample Usage |
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def generate_question(context): |
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inputs = tokenizer(context, return_tensors="pt") |
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output = model.generate(**inputs) |
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question = tokenizer.decode(output[0], skip_special_tokens=True) |
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return question |
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print(generate_question("Paris is the capital city of France")) |
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## Training and evaluation data |
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This model is trained and evaluated on the SQUAD dataset |
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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: 2e-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 | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 2.9322 | 1.0 | 10950 | 3.1334 | |
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| 2.6046 | 2.0 | 21900 | 3.1102 | |
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| 2.3742 | 3.0 | 32850 | 3.1315 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
