autoevaluator
HF staff
Add evaluation results on the default config and train split of boolq
fd277e2
language: | |
- en | |
license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
datasets: | |
- boolq | |
metrics: | |
- accuracy | |
model_index: | |
- name: distilbert-base-uncased-boolq | |
results: | |
- task: | |
name: Question Answering | |
type: question-answering | |
dataset: | |
name: boolq | |
type: boolq | |
args: default | |
metric: | |
name: Accuracy | |
type: accuracy | |
value: 0.7314984709480122 | |
model-index: | |
- name: andi611/distilbert-base-uncased-qa-boolq | |
results: | |
- task: | |
type: natural-language-inference | |
name: Natural Language Inference | |
dataset: | |
name: boolq | |
type: boolq | |
config: default | |
split: train | |
metrics: | |
- type: accuracy | |
value: 0.875676249071815 | |
name: Accuracy | |
verified: true | |
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- type: precision | |
value: 0.8591506263366941 | |
name: Precision | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmRhNDNhYjE3YTY4Mjk2ZThlMzQ5MGZiNGIxNmM4NDBlNzdlODkxYjRmNWM4YzAwZTlkOTFhZmJkMTQzZTYyZiIsInZlcnNpb24iOjF9.wl_bDHN2z0BXD5_IlLY8eQHFeCRkUGSj3NMOchIcbphiqoVoC_eWZNQqpZhM0XgCdoQrRKw4MNjCiwDq3euYCQ | |
- type: recall | |
value: 0.9574395641811372 | |
name: Recall | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGM0ZWJhYjI4YWIwNGQxZGQ3MTA4M2JiOTE5ZDc1ZDk5YjI5N2VjYjQzMTM3ZjM4YjVlNjNhNmU0MTVjZGJkNCIsInZlcnNpb24iOjF9.oC3_3F4164-tAIb0huR5xdzzRLpbxyJ52waXaWjbES8h0YRCrIjzmzgbhx4PPulxm8J59X1RF1wFsVXFFco3Bg | |
- type: auc | |
value: 0.9423158636459945 | |
name: AUC | |
verified: true | |
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- type: f1 | |
value: 0.9056360708534621 | |
name: F1 | |
verified: true | |
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- type: loss | |
value: 0.45028823614120483 | |
name: loss | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDdkOGYyMTJlYmRlYTRmNGI3YzkyOTRhOGMwZGY2N2MzYjVhZjgwN2U2YjdjMGQzMmYyZjFkMTFlM2Y0NmQ0ZCIsInZlcnNpb24iOjF9.PJWhSy48ZNYnp76dTuvhuvj-EFFWd8hzN5He1nIlHOqiPHglCtnSon161R7Ar4ILWy4LyPM8ByRslhzJfj-WDw | |
<!-- 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. --> | |
# distilbert-base-uncased-boolq | |
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the boolq dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 1.2071 | |
- Accuracy: 0.7315 | |
## 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: 5e-05 | |
- train_batch_size: 16 | |
- eval_batch_size: 32 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- lr_scheduler_warmup_steps: 1000 | |
- num_epochs: 5 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
|:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| 0.6506 | 1.0 | 531 | 0.6075 | 0.6681 | | |
| 0.575 | 2.0 | 1062 | 0.5816 | 0.6978 | | |
| 0.4397 | 3.0 | 1593 | 0.6137 | 0.7253 | | |
| 0.2524 | 4.0 | 2124 | 0.8124 | 0.7466 | | |
| 0.126 | 5.0 | 2655 | 1.1437 | 0.7370 | | |
### Framework versions | |
- Transformers 4.8.2 | |
- Pytorch 1.8.1+cu111 | |
- Datasets 1.8.0 | |
- Tokenizers 0.10.3 | |