autoevaluator
HF staff
Add evaluation results on the adversarialQA config and validation split of adversarial_qa
92f92f2
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 | |