deberta-corporate
This model is a fine-tuned version of microsoft/deberta-v3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0587
- Accuracy: 0.346
- Precision: 0.3627
- Recall: 0.346
- F1: 0.3137
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 3.1779 | 1.0 | 500 | 3.1413 | 0.3035 | 0.3649 | 0.3035 | 0.2694 |
| 3.0702 | 2.0 | 1000 | 3.0587 | 0.346 | 0.3627 | 0.346 | 0.3137 |
Framework versions
- PEFT 0.18.1
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2
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Model tree for BharathP08/deberta-corporate
Base model
microsoft/deberta-v3-base