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tiny-mlm-glue-qqp-target-glue-stsb
muhtasham/tiny-mlm-glue-qqp-target-glue-stsb
tiny-mlm-glue-qqp-target-glue-stsb is a text classification model from muhtasham. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jan 9, 2023
- Updated
- Jan 9, 2023
- SHA
- 5555d525
Try a prompt
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. -->
tiny-mlm-glue-qqp-target-glue-stsb
This model is a fine-tuned version of muhtasham/tiny-mlm-glue-qqp on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9234
- Pearson: 0.8132
- Spearmanr: 0.8116
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
|---|---|---|---|---|---|
| 2.9883 | 2.78 | 500 | 1.1659 | 0.7141 | 0.7498 |
| 0.9795 | 5.56 | 1000 | 1.0600 | 0.7790 | 0.8006 |
| 0.753 | 8.33 | 1500 | 0.9585 | 0.8042 | 0.8166 |
| 0.6208 | 11.11 | 2000 | 0.8495 | 0.8153 | 0.8188 |
| 0.5239 | 13.89 | 2500 | 0.8834 | 0.8149 | 0.8174 |
| 0.4691 | 16.67 | 3000 | 0.9556 | 0.8160 | 0.8195 |
| 0.4148 | 19.44 | 3500 | 0.8703 | 0.8180 | 0.8178 |
| 0.3779 | 22.22 | 4000 | 0.9027 | 0.8179 | 0.8177 |
| 0.3446 | 25.0 | 4500 | 0.9613 | 0.8191 | 0.8194 |
| 0.3215 | 27.78 | 5000 | 0.9470 | 0.8162 | 0.8160 |
| 0.3034 | 30.56 | 5500 | 0.9345 | 0.8161 | 0.8158 |
| 0.28 | 33.33 | 6000 | 0.9234 | 0.8132 | 0.8116 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jan 9, 2023
- Updated
- Jan 9, 2023