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bert_base_km_50_v1_mrpc
Hartunka/bert_base_km_50_v1_mrpc
bert_base_km_50_v1_mrpc is a text classification model from Hartunka. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Apr 19, 2025
- Updated
- Apr 19, 2025
- SHA
- 8f626455
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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. -->
bert_base_km_50_v1_mrpc
This model is a fine-tuned version of Hartunka/bert_base_km_50_v1 on the GLUE MRPC dataset. It achieves the following results on the evaluation set:
- Loss: 0.5894
- Accuracy: 0.7034
- F1: 0.8141
- Combined Score: 0.7588
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 |
|---|---|---|---|---|---|---|
| 0.6263 | 1.0 | 15 | 0.5978 | 0.6887 | 0.8019 | 0.7453 |
| 0.572 | 2.0 | 30 | 0.5894 | 0.7034 | 0.8141 | 0.7588 |
| 0.5108 | 3.0 | 45 | 0.6017 | 0.7034 | 0.8070 | 0.7552 |
| 0.4158 | 4.0 | 60 | 0.6797 | 0.6838 | 0.7909 | 0.7374 |
| 0.2727 | 5.0 | 75 | 0.8248 | 0.6446 | 0.7300 | 0.6873 |
| 0.1534 | 6.0 | 90 | 1.0887 | 0.6176 | 0.7143 | 0.6660 |
| 0.083 | 7.0 | 105 | 1.1340 | 0.6593 | 0.7531 | 0.7062 |
Framework versions
- Transformers 4.50.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Languages
- en
- Created
- Apr 19, 2025
- Updated
- Apr 19, 2025