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distilbert-base-uncased_mrpc
gokulsrinivasagan/distilbert-base-uncased_mrpc
distilbert-base-uncased_mrpc is a text classification model from gokulsrinivasagan. 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
- Dec 4, 2024
- Updated
- Dec 4, 2024
- SHA
- cabdce88
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Base models
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-base-uncased_mrpc
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the GLUE MRPC dataset. It achieves the following results on the evaluation set:
- Loss: 0.3859
- Accuracy: 0.8333
- F1: 0.8832
- Combined Score: 0.8582
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
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score |
|---|---|---|---|---|---|---|
| 0.6015 | 1.0 | 15 | 0.5433 | 0.7034 | 0.8158 | 0.7596 |
| 0.4875 | 2.0 | 30 | 0.4264 | 0.8064 | 0.8501 | 0.8282 |
| 0.3682 | 3.0 | 45 | 0.3859 | 0.8333 | 0.8832 | 0.8582 |
| 0.2647 | 4.0 | 60 | 0.4190 | 0.8505 | 0.8968 | 0.8736 |
| 0.1766 | 5.0 | 75 | 0.4325 | 0.8431 | 0.8904 | 0.8668 |
| 0.1147 | 6.0 | 90 | 0.5659 | 0.8333 | 0.8840 | 0.8586 |
| 0.0731 | 7.0 | 105 | 0.7540 | 0.8309 | 0.8860 | 0.8584 |
| 0.0616 | 8.0 | 120 | 0.6755 | 0.8260 | 0.8795 | 0.8527 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Languages
- en
- Created
- Dec 4, 2024
- Updated
- Dec 4, 2024