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Add evaluation results on the adversarialQA config and validation split of adversarial_qa
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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: bert-finetuned-squad
results:
- task:
type: question-answering
name: Question Answering
dataset:
name: adversarial_qa
type: adversarial_qa
config: adversarialQA
split: validation
metrics:
- type: f1
value: 30.1868
name: F1
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzJjYjg3ODg5OWFmYjhmZjE5NWQ0ZTI2MTJjNDc2ZDVlNzRiYTdkMTYxZGNlMjhiZTI5MGMxZTBlYWVlYzdjMCIsInZlcnNpb24iOjF9.ErN6Yg23Q7ruGoEMiYOY7hdYLpDGgDpdLmuOWdOJao-vJVM7ZgiPnbHnbdeJ8HrOlrf58KjmehT57pHFfvuOCA
- type: exact_match
value: 19.7667
name: Exact Match
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWQ4YTA3YmU5ZjU1YjA1MjU1NjE3NDU4MjA4NjYyM2QwNmU3ODJiNDZlZjAyZWI0ZDliOTk4ZDY3YTJmY2E5YSIsInZlcnNpb24iOjF9.A3MVrJ7HZrbWaiEh2vlk9--DlPs3Vs2BMEWhj1iMeYTHzK0sWkfK3wEfCgT0xQrzdS2clQ2JDo54zrA5cWBhCw
- type: loss
value: 3.1052029132843018
name: loss
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTVjYWJkODJmMTVkN2ZiOGEyZjBkZWUxMWI1MGNjNzdlOTZlMTYwMjc2ZDlhODllMTBhNTkyZjEwM2VlYWFhZiIsInZlcnNpb24iOjF9.JXkLlAgAafzi0gUZWx9_IkIBs2Neta7xxdC-uNclHQwUQf6AF5ZPEU_IQMGllm3ZNBYr7jeHtCcviryy1VSFBA
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-squad
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
### Training results
### Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2