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xlm-roberta-base-finetuned-cola
ar0mant/xlm-roberta-base-finetuned-cola
xlm-roberta-base-finetuned-cola is a text classification model from ar0mant. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Apr 18, 2023
- Updated
- Apr 22, 2023
- SHA
- 31d12f86
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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. -->
xlm-roberta-base-finetuned-cola
This model is a fine-tuned version of xlm-roberta-base on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.5179
- Matthews Correlation: 0.5392
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.6017 | 1.0 | 535 | 0.6923 | 0.2203 |
| 0.4807 | 2.0 | 1070 | 0.5651 | 0.4505 |
| 0.3625 | 3.0 | 1605 | 0.5179 | 0.5392 |
| 0.2849 | 4.0 | 2140 | 0.6297 | 0.5294 |
| 0.2217 | 5.0 | 2675 | 0.7300 | 0.5211 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Apr 18, 2023
- Updated
- Apr 22, 2023