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distilbert_add_GLUE_Experiment_cola
gokuls/distilbert_add_GLUE_Experiment_cola
distilbert_add_GLUE_Experiment_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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Jan 26, 2023
- Updated
- Jan 26, 2023
- SHA
- 33988616
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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_add_GLUE_Experiment_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: 0.6182
- Matthews Correlation: 0.0
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 |
|---|---|---|---|---|
| 0.6218 | 1.0 | 34 | 0.6182 | 0.0 |
| 0.611 | 2.0 | 68 | 0.6194 | 0.0 |
| 0.6084 | 3.0 | 102 | 0.6226 | 0.0 |
| 0.6104 | 4.0 | 136 | 0.6186 | 0.0 |
| 0.6102 | 5.0 | 170 | 0.6214 | 0.0 |
| 0.6095 | 6.0 | 204 | 0.6187 | 0.0 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.8.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Languages
- en
- Created
- Jan 26, 2023
- Updated
- Jan 26, 2023