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--- |
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license: apache-2.0 |
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base_model: bert-base-uncased |
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tags: |
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- generated_from_trainer |
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datasets: |
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- squad_v2 |
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model-index: |
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- name: bert-base-uncased-finetuned-squad_v2 |
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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: squad_v2 |
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type: squad_v2 |
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config: squad_v2 |
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split: validation |
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metrics: |
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- type: exact_match |
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value: 71.6920 |
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name: Exact Match |
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- type: f1 |
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value: 75.4437 |
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name: F1 |
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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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# bert-base-uncased-finetuned-squad_v2 |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the [SQuAD2.0](https://huggingface.co/datasets/squad_v2) dataset. It's been trained on question-answer pairs, including unanswerable questions, for the task of Question Answering. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7075 |
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- Exact Match: 71.6920 |
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- F1-score: 75.4437 |
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## Overview |
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**Language model:** bert-base-uncased |
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**Language:** English |
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**Downstream-task:** Extractive QA |
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**Training data:** SQuAD 2.0 |
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**Eval data:** SQuAD 2.0 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.0593 | 1.0 | 8235 | 1.1296 | |
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| 0.7736 | 2.0 | 16470 | 1.1290 | |
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| 0.5682 | 3.0 | 24705 | 1.1725 | |
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| 0.4124 | 4.0 | 32940 | 1.4632 | |
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| 0.3137 | 5.0 | 41175 | 1.7075 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 1.12.1 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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