Downloads · 30 days
17
29% of all-time downloads
distilbert_sa_GLUE_Experiment_logit_kd_data_aug_cola
gokuls/distilbert_sa_GLUE_Experiment_logit_kd_data_aug_cola
distilbert_sa_GLUE_Experiment_logit_kd_data_aug_cola is a text classification model from gokuls. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
58
Public
Repo size
1.6 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Feb 1, 2023
- Updated
- Feb 1, 2023
- SHA
- e7e8b663
Try a prompt
Datasets
Model card
From the Hugging Face model README
<!-- 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_sa_GLUE_Experiment_logit_kd_data_aug_cola
This model is a fine-tuned version of distilbert-base-uncased on the GLUE COLA dataset. It achieves the following results on the evaluation set:
- Loss: 0.7299
- Matthews Correlation: 0.1224
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: 256
- eval_batch_size: 256
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.5745 | 1.0 | 835 | 0.7299 | 0.1224 |
| 0.3736 | 2.0 | 1670 | 0.7628 | 0.1626 |
| 0.2919 | 3.0 | 2505 | 0.7388 | 0.1954 |
| 0.2517 | 4.0 | 3340 | 0.7483 | 0.1699 |
| 0.2279 | 5.0 | 4175 | 0.7558 | 0.1651 |
| 0.2108 | 6.0 | 5010 | 0.7734 | 0.1542 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.9.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Languages
- en
- Created
- Feb 1, 2023
- Updated
- Feb 1, 2023