Transformers course
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Collection for the UU transformers course.
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deberta-v3-base-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: 0.2017
- Accuracy: 0.9587
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: 16
- eval_batch_size: 16
- 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 | Accuracy |
|---|---|---|---|---|
| 0.1524 | 1.0 | 4210 | 0.1820 | 0.9472 |
| 0.1216 | 2.0 | 8420 | 0.1827 | 0.9530 |
| 0.0845 | 3.0 | 12630 | 0.2098 | 0.9495 |
| 0.0601 | 4.0 | 16840 | 0.2017 | 0.9587 |
| 0.0449 | 5.0 | 21050 | 0.2534 | 0.9564 |
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-finetuned-sst2-midterm
Base model
microsoft/deberta-v3-base