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maitra1982-finetuned-bert-mrpc
puchki2015/maitra1982-finetuned-bert-mrpc
maitra1982-finetuned-bert-mrpc is a text classification model from puchki2015. 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
- bert
- Access
- Public
- Created
- Oct 30, 2023
- Updated
- Oct 30, 2023
- SHA
- 2ec8e71f
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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. -->
maitra1982-finetuned-bert-mrpc
This model is a fine-tuned version of bert-base-cased on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.4454
- Accuracy: 0.8456
- F1: 0.8927
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5477 | 1.0 | 230 | 0.4645 | 0.8039 | 0.8701 |
| 0.3141 | 2.0 | 460 | 0.4186 | 0.8382 | 0.89 |
| 0.1597 | 3.0 | 690 | 0.4454 | 0.8456 | 0.8927 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Oct 30, 2023
- Updated
- Oct 30, 2023