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rubert-tiny2-1-4
Adammz/rubert-tiny2-1-4
rubert-tiny2-1-4 is a text classification model from Adammz. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Dec 26, 2023
- Updated
- Dec 26, 2023
- SHA
- 65f1701a
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Base models
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. -->
rubert-tiny2-1-4
This model is a fine-tuned version of cointegrated/rubert-tiny2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3882
- Accuracy: 0.9001
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: 1e-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: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.9597 | 1.0 | 1500 | 1.1052 | 0.7613 |
| 0.9583 | 2.0 | 3000 | 0.8140 | 0.8157 |
| 0.7343 | 3.0 | 4500 | 0.6514 | 0.8502 |
| 0.6076 | 4.0 | 6000 | 0.5656 | 0.867 |
| 0.5257 | 5.0 | 7500 | 0.5115 | 0.8771 |
| 0.4694 | 6.0 | 9000 | 0.4748 | 0.8826 |
| 0.4296 | 7.0 | 10500 | 0.4477 | 0.8885 |
| 0.4006 | 8.0 | 12000 | 0.4295 | 0.8938 |
| 0.3753 | 9.0 | 13500 | 0.4159 | 0.896 |
| 0.358 | 10.0 | 15000 | 0.4066 | 0.8979 |
| 0.3417 | 11.0 | 16500 | 0.3994 | 0.8992 |
| 0.3296 | 12.0 | 18000 | 0.3943 | 0.8993 |
| 0.3203 | 13.0 | 19500 | 0.3914 | 0.8993 |
| 0.3158 | 14.0 | 21000 | 0.3889 | 0.9001 |
| 0.3126 | 15.0 | 22500 | 0.3882 | 0.9001 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Dec 26, 2023
- Updated
- Dec 26, 2023