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bert_tiny_lda_5_v1_qqp
gokulsrinivasagan/bert_tiny_lda_5_v1_qqp
bert_tiny_lda_5_v1_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
- Nov 26, 2024
- Updated
- Dec 4, 2024
- SHA
- da38f063
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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_tiny_lda_5_v1_qqp
This model is a fine-tuned version of gokulsrinivasagan/bert_tiny_lda_5_v1 on the GLUE QQP dataset. It achieves the following results on the evaluation set:
- Loss: 0.4071
- Accuracy: 0.8205
- F1: 0.7541
- Combined Score: 0.7873
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 |
|---|---|---|---|---|---|---|
| 0.48 | 1.0 | 1422 | 0.4532 | 0.7860 | 0.6824 | 0.7342 |
| 0.386 | 2.0 | 2844 | 0.4193 | 0.8103 | 0.7235 | 0.7669 |
| 0.324 | 3.0 | 4266 | 0.4071 | 0.8205 | 0.7541 | 0.7873 |
| 0.2744 | 4.0 | 5688 | 0.4411 | 0.8251 | 0.7457 | 0.7854 |
| 0.2331 | 5.0 | 7110 | 0.4896 | 0.8286 | 0.7473 | 0.7880 |
| 0.1994 | 6.0 | 8532 | 0.4985 | 0.8323 | 0.7634 | 0.7978 |
| 0.1726 | 7.0 | 9954 | 0.5103 | 0.8336 | 0.7753 | 0.8044 |
| 0.1489 | 8.0 | 11376 | 0.5470 | 0.8353 | 0.7756 | 0.8055 |
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
- Nov 26, 2024
- Updated
- Dec 4, 2024