|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- glue |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: autoevaluate-binary-classification |
|
results: |
|
- task: |
|
type: text-classification |
|
name: Text Classification |
|
dataset: |
|
name: glue |
|
type: glue |
|
args: sst2 |
|
metrics: |
|
- type: accuracy |
|
value: 0.8967889908256881 |
|
name: Accuracy |
|
- task: |
|
type: text-classification |
|
name: Text Classification |
|
dataset: |
|
name: glue |
|
type: glue |
|
config: sst2 |
|
split: validation |
|
metrics: |
|
- type: accuracy |
|
value: 0.8967889908256881 |
|
name: Accuracy |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjQ3YmFiNmE0Y2FmNWUwZTQ2NDViMzEzMjk1ZWQyZTkyMDBmNzZkNzhmNWRmZDJiZjc0ZTEzODVhYTRlNmUxZSIsInZlcnNpb24iOjF9.qb-M6CZpsMnr7FGCaSL8vti0sh85bfzuwGqKM5nNW7fcbyi1SbIxDisDxVQ0SmZwl2Plif6lT3bBU9mer1NmCQ |
|
- type: precision |
|
value: 0.8898678414096917 |
|
name: Precision |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjE1MmVmODU2OTYwMTNlZjE5ZjlmY2Y5NTM3M2E4YjQ1MmE5Yjc1OTAwYjIwYWRjNGI5ZmZlZjI5NTYwZWJlYiIsInZlcnNpb24iOjF9.yf-1IHvGFLLBUPwWXCvlxblTTyeTU_KLqRLuCWDKO2coWWFKvGl_dYteujY1bUGqqzX2Ig6geTt0tVi5MuX9Aw |
|
- type: recall |
|
value: 0.9099099099099099 |
|
name: Recall |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTJlYTdlYWFkZDQzZjJjNjdhMDk1ZGYxYWUzNzczNGQ0MmRjMzdkNmQyYTI2YjA4N2RlNDEzN2Y4MDRmMWYwYyIsInZlcnNpb24iOjF9.Hw9PHkve1f8IiZTNAolCMmPpyyFiAOhZO7FhTxlQPGNJ3oUjzJi7S1wxVte0ZLOOXNa-jNfC-x6qOfHbJqbQDA |
|
- type: auc |
|
value: 0.9672186789593331 |
|
name: AUC |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjhiNjBjYzQzNTg2ZDI0MDU4YWIyYjhlYzNjYjg0ODdkNTE5ZmUxNzk0OWQ0ZTFiNDY2OWMxNjVjMzk5ZTg0ZCIsInZlcnNpb24iOjF9.t9A1giBHzuGtEYs4KexQNWuj4QoSQppx30xmB6Thqhs4tE8JpglMyGB2P8KDhCquA-3a2gK2LiVT90VaHUcwAw |
|
- type: f1 |
|
value: 0.8997772828507795 |
|
name: F1 |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODM4ZWZlNmNmODI5NmI1NmEzYTQ3MDI4ZDUxNjQxZTczY2VmMmY5ODg3OWM3ZjhlZTRlYmJkOTVlZmNkYWMyZiIsInZlcnNpb24iOjF9.P_w0jtDB66s20puJ_hvpad7JPGGgvDHHBhMxhfqmxGKU1oxba_OXgREKOxNzogsPsbXGlq7xtCPoSQSdR9VyCw |
|
- type: loss |
|
value: 0.30092036724090576 |
|
name: loss |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWVhNDQ4ZDEwNzg3NGY0MjdiNmRiZGQ2ZDM5ZTI0MzNlZGZjMTNkY2I2OWIwYjk4MmIyZDk0YjgxYTZmMWE5NSIsInZlcnNpb24iOjF9.5y2feXY4wZUF1xfADCM5JQ4SOqduuUtD_p0BZzkrV7iKoJOvYDtaIpeKcGLHuX6Ikj_Kwx_nPVqBVwK6ALdEAg |
|
- type: matthews_correlation |
|
value: 0.793630584795814 |
|
name: matthews_correlation |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWQxMzk2MzM2NmJiOWMwMGIwZDlkNTNiZmI0MWU1NjBjNTViZjk3YjQxYzU2NTUxMmFkNmM4NTYyOTJjZDQwZCIsInZlcnNpb24iOjF9.Vb_ZGOXUXO2pD0F1UuUczgDr2DusYAMpQF0cm8xpVtPhPIYGQba6AKiDJh12MoeNZIKVMUwi3cmYO1erGsbUAQ |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# binary-classification |
|
|
|
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3009 |
|
- Accuracy: 0.8968 |
|
|
|
## 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 | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.175 | 1.0 | 4210 | 0.3009 | 0.8968 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.19.2 |
|
- Pytorch 1.11.0+cu113 |
|
- Datasets 2.2.2 |
|
- Tokenizers 0.12.1 |
|
|
