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tiny-mlm-glue-rte-target-glue-sst2
muhtasham/tiny-mlm-glue-rte-target-glue-sst2
tiny-mlm-glue-rte-target-glue-sst2 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
- ca63cbfa
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-rte-target-glue-sst2
This model is a fine-tuned version of muhtasham/tiny-mlm-glue-rte on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4848
- Accuracy: 0.8314
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 | Accuracy |
|---|---|---|---|---|
| 0.5758 | 0.24 | 500 | 0.4891 | 0.7821 |
| 0.4444 | 0.48 | 1000 | 0.4679 | 0.7856 |
| 0.3956 | 0.71 | 1500 | 0.4446 | 0.8016 |
| 0.3754 | 0.95 | 2000 | 0.4579 | 0.7993 |
| 0.3336 | 1.19 | 2500 | 0.4468 | 0.8039 |
| 0.3169 | 1.43 | 3000 | 0.4499 | 0.8028 |
| 0.2982 | 1.66 | 3500 | 0.4385 | 0.8131 |
| 0.2933 | 1.9 | 4000 | 0.4380 | 0.8108 |
| 0.2753 | 2.14 | 4500 | 0.4841 | 0.8050 |
| 0.2569 | 2.38 | 5000 | 0.4376 | 0.8177 |
| 0.2466 | 2.61 | 5500 | 0.4397 | 0.8245 |
| 0.2527 | 2.85 | 6000 | 0.4462 | 0.8234 |
| 0.2377 | 3.09 | 6500 | 0.4545 | 0.8337 |
| 0.2303 | 3.33 | 7000 | 0.4655 | 0.8268 |
| 0.2151 | 3.56 | 7500 | 0.4566 | 0.8291 |
| 0.2156 | 3.8 | 8000 | 0.4848 | 0.8314 |
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