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bert_base_km_50_v2_qqp
Hartunka/bert_base_km_50_v2_qqp
bert_base_km_50_v2_qqp 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 23, 2025
- Updated
- Apr 23, 2025
- SHA
- 00bde313
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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. -->
bert_base_km_50_v2_qqp
This model is a fine-tuned version of Hartunka/bert_base_km_50_v2 on the GLUE QQP dataset. It achieves the following results on the evaluation set:
- Loss: 0.3899
- Accuracy: 0.8244
- F1: 0.7620
- Combined Score: 0.7932
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 |
|---|---|---|---|---|---|---|
| 0.4831 | 1.0 | 1422 | 0.4464 | 0.7857 | 0.6639 | 0.7248 |
| 0.3789 | 2.0 | 2844 | 0.3969 | 0.8142 | 0.7440 | 0.7791 |
| 0.3007 | 3.0 | 4266 | 0.3899 | 0.8244 | 0.7620 | 0.7932 |
| 0.2341 | 4.0 | 5688 | 0.4301 | 0.8297 | 0.7578 | 0.7937 |
| 0.18 | 5.0 | 7110 | 0.4499 | 0.8295 | 0.7779 | 0.8037 |
| 0.1381 | 6.0 | 8532 | 0.5405 | 0.8346 | 0.7790 | 0.8068 |
| 0.1072 | 7.0 | 9954 | 0.5882 | 0.8326 | 0.7779 | 0.8052 |
| 0.0866 | 8.0 | 11376 | 0.5793 | 0.8286 | 0.7794 | 0.8040 |
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 23, 2025
- Updated
- Apr 23, 2025