|
--- |
|
language: |
|
- en |
|
license: mit |
|
tags: |
|
- generated_from_trainer |
|
- deberta-v3 |
|
datasets: |
|
- glue |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: deberta-v3-small |
|
results: |
|
- task: |
|
type: text-classification |
|
name: Text Classification |
|
dataset: |
|
name: GLUE SST2 |
|
type: glue |
|
args: sst2 |
|
metrics: |
|
- type: accuracy |
|
value: 0.9403669724770642 |
|
name: Accuracy |
|
- task: |
|
type: text-classification |
|
name: Text Classification |
|
dataset: |
|
name: glue |
|
type: glue |
|
config: sst2 |
|
split: validation |
|
metrics: |
|
- type: accuracy |
|
value: 0.9403669724770642 |
|
name: Accuracy |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2MyOTE4ZTk0YzUyNGFkMGVjNTk4MDBlZGRlZjgzOGIzYWY0YjExMmZmMDZkYjFmOTlkYmM2ZDEwYjMxM2JkOCIsInZlcnNpb24iOjF9.Ks2vdjAFUe0isZp4F-OFK9HzvPqeU3mJEG_XJfOvkTdm9DyaefT9x78sof8i_EbIync5Ao7NOC4STCTQIUvgBw |
|
- type: precision |
|
value: 0.9375 |
|
name: Precision |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzNiZTEwNGNlZWUwZjMxYmRjNWU0ZGQ1Njg1M2MwNTQ3YWEwN2JlNDk4OWQ4MzNkMmNhOGUwMzA0YWU3ZWZjMiIsInZlcnNpb24iOjF9.p5Gbs680U45zHoWH9YgRLmOxINR4emvc2yNe9Kt3-y_WyyCd6CAAK9ht-IyGJ7GSO5WQny-ISngJFtyFt5NqDQ |
|
- type: recall |
|
value: 0.9459459459459459 |
|
name: Recall |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjk2MmJjMDZlZDUzM2QzMWZhMzMxNWRkYjJlYzA3MjUwMThiYWMwNmQzODE1MTMxNTdkNWVmMDhhNzJjMjg3MyIsInZlcnNpb24iOjF9.Jeu6tyhXQxMykqqFH0V-IXvyTrxAsgnYByYCOJgfj86957G5LiGdfQzDtTuGkt0XcoenXhPuueT8m5tsuJyLBA |
|
- type: auc |
|
value: 0.9804217184474193 |
|
name: AUC |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2Q5MWU1MGMzMjEwNzY4MDkzN2Q5ZjM5MTQ2MDc5YTRkZTNmNTk2YTdhODI1ZGJlOTlkNTQ2M2Q4YTUxN2Y3OSIsInZlcnNpb24iOjF9.INkDvQhg2jfD7WEE4qHJazPYo10O4Ffc5AZz5vI8fmN01rK3sXzzydvmrmTMzYSSmLhn9sc1-ZkoWbcv81oqBA |
|
- type: f1 |
|
value: 0.9417040358744394 |
|
name: F1 |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWRhNjljZjk0NjY1ZjU1ZjU2ZmM5ODk1YTVkMTI0ZGY4MjI1OTFlZWJkZWMyMGYxY2I1MzRjODBkNGVlMzJkZSIsInZlcnNpb24iOjF9.kQ547NVFUxeE4vNiGzGsCvMxR1MCJTChX44ds27qQ4Rj2m1UuD2C9TLTuiu8KMvq1mH1io978dJEpOCHYq6KCQ |
|
- type: loss |
|
value: 0.21338027715682983 |
|
name: loss |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2YyYmVhNzgxMzMyNjJiNzZkYjE1YWM5Y2ZmMTlkNjQ5MThhYjIxNTE5MmE3Y2E0ODllODMyYjAzYWI3ZWRlMSIsInZlcnNpb24iOjF9.ad9rLnOeJZbRi_QQKEBpNNBp_Bt5SHf39ZeWQOZxp7tAK9dc0OK8XOqtihoXcAWDahwuoGiiYtcFNtvueaX6DA |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# DeBERTa v3 (small) fine-tuned on SST2 |
|
|
|
This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the GLUE SST2 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2134 |
|
- Accuracy: 0.9404 |
|
|
|
## 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: 3e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 5.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
|
| 0.176 | 1.0 | 4210 | 0.2134 | 0.9404 | |
|
| 0.1254 | 2.0 | 8420 | 0.2362 | 0.9415 | |
|
| 0.0957 | 3.0 | 12630 | 0.3187 | 0.9335 | |
|
| 0.0673 | 4.0 | 16840 | 0.3039 | 0.9266 | |
|
| 0.0457 | 5.0 | 21050 | 0.3521 | 0.9312 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.13.0.dev0 |
|
- Pytorch 1.10.0+cu111 |
|
- Datasets 1.15.1 |
|
- Tokenizers 0.10.3 |
|
|
