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sa_BERT_24_mrpc
gokuls/sa_BERT_24_mrpc
sa_BERT_24_mrpc 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
- bert
- Access
- Public
- Created
- Jun 15, 2023
- Updated
- Jun 15, 2023
- SHA
- ce83274f
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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. -->
sa_BERT_24_mrpc
This model is a fine-tuned version of gokuls/bert_base_24 on the GLUE MRPC dataset. It achieves the following results on the evaluation set:
- Loss: 0.6042
- Accuracy: 0.7083
- F1: 0.8200
- Combined Score: 0.7642
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: 4e-05
- train_batch_size: 96
- eval_batch_size: 96
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score |
|---|---|---|---|---|---|---|
| 0.6437 | 1.0 | 39 | 0.6042 | 0.7083 | 0.8200 | 0.7642 |
| 0.5784 | 2.0 | 78 | 0.6224 | 0.6544 | 0.7403 | 0.6974 |
| 0.4657 | 3.0 | 117 | 0.7196 | 0.6740 | 0.7816 | 0.7278 |
| 0.3555 | 4.0 | 156 | 0.8929 | 0.6348 | 0.7418 | 0.6883 |
| 0.2516 | 5.0 | 195 | 1.0482 | 0.6078 | 0.6992 | 0.6535 |
| 0.1654 | 6.0 | 234 | 1.3865 | 0.5515 | 0.6131 | 0.5823 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.13.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Jun 15, 2023
- Updated
- Jun 15, 2023