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deberta-v3-base-Wnut-TokenClassification
alitolga/deberta-v3-base-Wnut-TokenClassification
deberta-v3-base-Wnut-TokenClassification is a machine learning model from alitolga. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Feb 21, 2024
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At a glance
- License
- mit
- Access
- Public
- Created
- Feb 21, 2024
- Updated
- Feb 21, 2024
- SHA
- 1be2cc93
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. -->
deberta-v3-base-Wnut-TokenClassification
This model is a fine-tuned version of microsoft/deberta-v3-base on the wnut_17 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3286
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2701 | 1.0 | 425 | 0.4030 |
| 0.1983 | 2.0 | 850 | 0.3375 |
| 0.2137 | 3.0 | 1275 | 0.3286 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- License
- mit
- Created
- Feb 21, 2024
- Updated
- Feb 21, 2024