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distilbert_base_lda_qqp
gokulsrinivasagan/distilbert_base_lda_qqp
distilbert_base_lda_qqp is a text classification model from gokulsrinivasagan. 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
- Dec 4, 2024
- Updated
- Dec 4, 2024
- SHA
- 7be08f6a
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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. -->
distilbert_base_lda_qqp
This model is a fine-tuned version of gokulsrinivasagan/distilbert_base_lda on the GLUE QQP dataset. It achieves the following results on the evaluation set:
- Loss: 0.3075
- Accuracy: 0.8687
- F1: 0.8305
- Combined Score: 0.8496
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 |
|---|---|---|---|---|---|---|
| 0.4028 | 1.0 | 1422 | 0.3415 | 0.8439 | 0.7861 | 0.8150 |
| 0.2958 | 2.0 | 2844 | 0.3173 | 0.8595 | 0.8230 | 0.8413 |
| 0.2328 | 3.0 | 4266 | 0.3075 | 0.8687 | 0.8305 | 0.8496 |
| 0.1808 | 4.0 | 5688 | 0.3223 | 0.8733 | 0.8234 | 0.8483 |
| 0.1395 | 5.0 | 7110 | 0.3835 | 0.8748 | 0.8274 | 0.8511 |
| 0.1085 | 6.0 | 8532 | 0.3752 | 0.8720 | 0.8337 | 0.8528 |
| 0.0868 | 7.0 | 9954 | 0.4399 | 0.8754 | 0.8365 | 0.8560 |
| 0.0701 | 8.0 | 11376 | 0.4627 | 0.8762 | 0.8314 | 0.8538 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Languages
- en
- Created
- Dec 4, 2024
- Updated
- Dec 4, 2024