Transformers course
Collection
Collection for the UU transformers course.
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9 items
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Updated
deberta-v3-base-hyper-finetuned-sst2-midterm
This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2857
- Accuracy: 0.9415
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: 2.7134395583774255e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 32
- 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 | Accuracy |
|---|---|---|---|---|
| 0.2085 | 1.0 | 8419 | 0.2503 | 0.9392 |
| 0.1458 | 2.0 | 16838 | 0.2837 | 0.9381 |
| 0.1121 | 3.0 | 25257 | 0.2857 | 0.9415 |
| 0.0881 | 4.0 | 33676 | 0.2589 | 0.9381 |
| 0.0423 | 5.0 | 42095 | 0.3403 | 0.9415 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for kbberendsen/deberta-v3-base-hyper-finetuned-sst2-midterm
Base model
microsoft/deberta-v3-base