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distilbert-base-uncased-finetuned-mrpc
shokiokita/distilbert-base-uncased-finetuned-mrpc
distilbert-base-uncased-finetuned-mrpc is a text classification model from shokiokita. 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
- Mar 2, 2022
- Updated
- Oct 12, 2021
- SHA
- 66329831
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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-base-uncased-finetuned-mrpc
This model is a fine-tuned version of distilbert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.5579
- Accuracy: 0.7328
- F1: 0.8310
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 | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 23 | 0.5797 | 0.7010 | 0.8195 |
| No log | 2.0 | 46 | 0.5647 | 0.7083 | 0.8242 |
| No log | 3.0 | 69 | 0.5677 | 0.7181 | 0.8276 |
| No log | 4.0 | 92 | 0.5495 | 0.7328 | 0.8300 |
| No log | 5.0 | 115 | 0.5579 | 0.7328 | 0.8310 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.0+cu111
- Datasets 1.12.1
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 2, 2022
- Updated
- Oct 12, 2021