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deberta-base-DIALOCONAN-WIKI-CLS
xoyeop/deberta-base-DIALOCONAN-WIKI-CLS
deberta-base-DIALOCONAN-WIKI-CLS is a machine learning model from xoyeop. 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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At a glance
- License
- mit
- Model type
- deberta
- Access
- Public
- Created
- Aug 19, 2024
- Updated
- Aug 20, 2024
- SHA
- f4b70384
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. -->
deberta-base-DIALOCONAN-WIKI-CLS
This model is a fine-tuned version of microsoft/deberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3866
- Precision: 0.6323
- Recall: 0.6344
- F1: 0.6333
- Accuracy: 0.9484
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.3835 | 1.0 | 2500 | 0.4185 | 0.6829 | 0.6859 | 0.6832 | 0.9097 |
| 0.2718 | 2.0 | 5000 | 0.3822 | 0.7011 | 0.7016 | 0.7011 | 0.9329 |
| 0.1602 | 3.0 | 7500 | 0.3330 | 0.6302 | 0.6321 | 0.6311 | 0.9451 |
| 0.1018 | 4.0 | 10000 | 0.3639 | 0.6332 | 0.6351 | 0.6340 | 0.9496 |
| 0.0508 | 5.0 | 12500 | 0.3866 | 0.6323 | 0.6344 | 0.6333 | 0.9484 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- deberta
- License
- mit
- Created
- Aug 19, 2024
- Updated
- Aug 20, 2024