autoevaluator
HF staff
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator
959dc83
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 | |