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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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datasets: |
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- squad |
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model-index: |
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- name: extractive-question-answering |
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results: |
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- task: |
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type: question-answering |
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name: Question Answering |
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dataset: |
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name: autoevaluate/squad-sample |
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type: autoevaluate/squad-sample |
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config: autoevaluate--squad-sample |
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split: test |
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metrics: |
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- type: exact_match |
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value: 70.0 |
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name: Exact Match |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmZjMTg4Y2RmMDFkNmIyNzJjY2ZjNDI4MjNiNWRhNWFhMjA3NzA2Mjc0ZTA4YzlmOGNiYTZhNDJkZTQwMjE5OCIsInZlcnNpb24iOjF9.W_s5Ug2oa7oAVQnHx0hg7KQkiombED_zkp02oGl3-DwfMf_99lbCHNOBhd9cNeXpaNhuu1BZEB8nR1ZB-KVVCg |
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- type: f1 |
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value: 76.9929 |
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name: F1 |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDUzNTJiM2ZkMjA2NGIwMTdhZTliMWZlMzZhNGQ0NWNkNjE2YWI3MTUyZDI4OWUwNmQ5ZDRlNzQ0NGI0MWMyMSIsInZlcnNpb24iOjF9.UpR3sRhyOQ7QA928AK6yjj7a6Lrz3fB7OZ1pVmY5iNLT5cWF-BdCoXLZ9TrkaAisTb-0zyen-VZGdmIGKmaVAw |
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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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# extractive-question-answering |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset. |
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It achieves the following results on the evaluation set: |
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``` |
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{'exact_match': 72.95175023651845, |
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'f1': 81.85552166092225, |
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'latency_in_seconds': 0.008616470915042614, |
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'samples_per_second': 116.05679516125359, |
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'total_time_in_seconds': 91.07609757200044} |
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``` |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.263 | 1.0 | 5533 | 1.2169 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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