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distilbert_rand_5_v1_qqp
Hartunka/distilbert_rand_5_v1_qqp
distilbert_rand_5_v1_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 17, 2025
- Updated
- Apr 17, 2025
- SHA
- b02d8bbe
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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_rand_5_v1_qqp
This model is a fine-tuned version of Hartunka/distilbert_rand_5_v1 on the GLUE QQP dataset. It achieves the following results on the evaluation set:
- Loss: 0.3952
- Accuracy: 0.8196
- F1: 0.7500
- Combined Score: 0.7848
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 |
|---|---|---|---|---|---|---|
| 0.4773 | 1.0 | 1422 | 0.4449 | 0.7880 | 0.6650 | 0.7265 |
| 0.3712 | 2.0 | 2844 | 0.3952 | 0.8196 | 0.7500 | 0.7848 |
| 0.2985 | 3.0 | 4266 | 0.4047 | 0.8262 | 0.7640 | 0.7951 |
| 0.2407 | 4.0 | 5688 | 0.4271 | 0.8326 | 0.7632 | 0.7979 |
| 0.1958 | 5.0 | 7110 | 0.4750 | 0.8366 | 0.7664 | 0.8015 |
| 0.1599 | 6.0 | 8532 | 0.4949 | 0.8357 | 0.7781 | 0.8069 |
| 0.1337 | 7.0 | 9954 | 0.5582 | 0.8378 | 0.7783 | 0.8081 |
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 17, 2025
- Updated
- Apr 17, 2025