autoevaluator
HF staff
Add evaluation results on the autoevaluate--squad-sample config and test split of autoevaluate/squad-sample
275a445
license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
datasets: | |
- squad | |
duplicated_from: autoevaluate/extractive-question-answering | |
model-index: | |
- name: autoevaluate/extractive-question-answering-not-evaluated | |
results: | |
- task: | |
type: question-answering | |
name: Question Answering | |
dataset: | |
name: autoevaluate/squad-sample | |
type: autoevaluate/squad-sample | |
config: autoevaluate--squad-sample | |
split: test | |
metrics: | |
- type: f1 | |
value: 76.9929 | |
name: F1 | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWY4NmY3MmUxMTI1YjYxOGQ4ZGJiNTExZWE2MGQ3NWY1MGNkMGZiNDA1M2FiNjM2ODBmMmM3NTM0MTIzYTE3OSIsInZlcnNpb24iOjF9.KCqAF5uiJ5MErIARbRt7ZQQZyMCxyQosMzoDk6Z-_-mLBJ3x8DTJYUKbSgd2QvA7tjnWhIq81ba4tJ0D5OvmBg | |
- type: exact_match | |
value: 70.0 | |
name: Exact Match | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTRmNTIxNDFhYzBmNDdkOGJmNmQ2YTBjODMxZWZkYzA5Njg2MDVlZjFmZTllMDQ4MzExM2MzMjcwMTc3NmY1MyIsInZlcnNpb24iOjF9.WwsKGMpmxBLVfpwA9qH7f_uVIpECcmkxxUUutHjLnraxZiPG-B_Z7InQ0dWtrtseEIkcEx-Y3u3rnEtzYhNbBA | |
- type: loss | |
value: 1.203058123588562 | |
name: loss | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODcxZDRiNDcxNjY1MDhmZmZiMDY1NTQyOGFlMmY1NjA2ZDc0NzhlMzNhNjA5YzUyOWFhMTM1ZTM5ZjhiYjJhZCIsInZlcnNpb24iOjF9.mnJ3PJgb_sGpFEv8BYL9FAm7citwMfkCOL73aoEQxr8pQYLcdGllnq98F8fKfkfp9Z05H0xVxTdKlMGYO7XXCA | |
<!-- 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. --> | |
# extractive-question-answering | |
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset. | |
It achieves the following results on the evaluation set: | |
``` | |
{'exact_match': 72.95175023651845, | |
'f1': 81.85552166092225, | |
'latency_in_seconds': 0.008616470915042614, | |
'samples_per_second': 116.05679516125359, | |
'total_time_in_seconds': 91.07609757200044} | |
``` | |
## 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: 16 | |
- eval_batch_size: 16 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 1 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | | |
|:-------------:|:-----:|:----:|:---------------:| | |
| 1.263 | 1.0 | 5533 | 1.2169 | | |
### Framework versions | |
- Transformers 4.19.2 | |
- Pytorch 1.11.0+cu113 | |
- Datasets 2.2.2 | |
- Tokenizers 0.12.1 | |