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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: squad_v2
type: squad_v2
config: squad_v2
split: validation
metrics:
- type: exact_match
value: 40.2443
name: Exact Match
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTc3Y2YyY2Y5ZTMxMGQ3M2U3YThmMjFiM2JlOWQ4MjE0YzZmMmM3NzY4ZDcxYzY4ZTAwNTU4MGE3YmQxOTJhNiIsInZlcnNpb24iOjF9.tk2uBvygzQsexdkxKvFBgKGY8lPNzEG7Pqi-6fL688LTiCMACFFSrZUhyv5b31orF7_CbJkHFjKuMHmX0V_UCA
- type: f1
value: 44.135
name: F1
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmE1NWFlYzQ3YTZiMmY3ZDgyYWRlNzI5M2IwYzZkOWUwMDE2NGU4M2RjODBiNjEzY2YxNTVlZmE5OWNmNDU2NiIsInZlcnNpb24iOjF9.pgr2rkyQe-QdwVXuw-uBXheKFz0EhDiyO0doLMmcOi51t_slDPldk29YRXQKvpsfy3YpH_t-xaXQLs1n8VcjDQ
- task:
type: question-answering
name: Question Answering
dataset:
name: subjqa
type: subjqa
config: grocery
split: train
metrics:
- type: exact_match
value: 5.625
name: Exact Match
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDMyMDQ1OWFkY2IwYTcxNTljYTZjYTM0ZThjOGEwZWJjYjBlZWQxYWE1ZjMwNDg5NGY5MTFiYmM4YWM0Y2Y2NCIsInZlcnNpb24iOjF9.4nwNKC2teDPVd5YqvjS8sV3q-ylC9fWO5lOiZVk8o3UNdKyAtl3qAH6dU7lGcHZrxasN7zNrxv5kD5nNWr9YBQ
- type: f1
value: 15.8411
name: F1
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWMzMTAzNTljNjFlM2E4NGIzNjRjNzRiZTIxZjBlNjkzZWM4NjcxMjUzOGZjZTgxMGUxODk4ZjFkZmJiMjg4ZiIsInZlcnNpb24iOjF9.agcp8QkYeHBvs2Qp0YmEMlvEx1_4a_dv_0cm26UbF-YgYU_7cR86ar-h1V56mrfcKUjNRRiK79GD0P9WT6mADw
---
<!-- 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: 3
- mixed_precision_training: Native AMP
### Training results
### Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
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