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mdeberta-v3-base-sst2-1
tmnam20/mdeberta-v3-base-sst2-1
mdeberta-v3-base-sst2-1 is a text classification model from tmnam20. 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
- deberta-v2
- Access
- Public
- Created
- Jan 16, 2024
- Updated
- Jan 16, 2024
- SHA
- c32f20e6
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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. -->
mdeberta-v3-base-sst2-1
This model is a fine-tuned version of microsoft/mdeberta-v3-base on the tmnam20/VieGLUE/SST2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3789
- Accuracy: 0.8922
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 1
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3138 | 0.24 | 500 | 0.3016 | 0.8761 |
| 0.2693 | 0.48 | 1000 | 0.3624 | 0.8911 |
| 0.2359 | 0.71 | 1500 | 0.3470 | 0.8739 |
| 0.2584 | 0.95 | 2000 | 0.2878 | 0.8911 |
| 0.1774 | 1.19 | 2500 | 0.3204 | 0.9048 |
| 0.1921 | 1.43 | 3000 | 0.3878 | 0.8899 |
| 0.1822 | 1.66 | 3500 | 0.3444 | 0.9002 |
| 0.1772 | 1.9 | 4000 | 0.3351 | 0.8968 |
| 0.1368 | 2.14 | 4500 | 0.3350 | 0.9060 |
| 0.1259 | 2.38 | 5000 | 0.3967 | 0.8968 |
| 0.107 | 2.61 | 5500 | 0.3937 | 0.8945 |
| 0.1371 | 2.85 | 6000 | 0.3743 | 0.8968 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Languages
- en
- Created
- Jan 16, 2024
- Updated
- Jan 16, 2024