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deberta-v3-large_faster_learning
bobbyw/deberta-v3-large_faster_learning
deberta-v3-large_faster_learning is a text classification model from bobbyw. 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
- Jun 6, 2024
- Updated
- Jun 7, 2024
- SHA
- 646a6815
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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-large_faster_learning
This model is a fine-tuned version of bobbyw/deberta-v3-large_faster_learning on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0945
- Accuracy: 0.0218
- F1: 0.0427
- Precision: 0.0218
- Recall: 1.0
- Learning Rate: 0.0
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-07
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Rate |
|---|---|---|---|---|---|---|---|---|
| 0.1295 | 1.0 | 689 | 0.0971 | 0.0218 | 0.0427 | 0.0218 | 1.0 | 0.0001 |
| 0.1287 | 2.0 | 1378 | 0.0945 | 0.0218 | 0.0427 | 0.0218 | 1.0 | 0.0 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Jun 6, 2024
- Updated
- Jun 7, 2024