deberta-v3-large-RETACRED-1114
This model is a fine-tuned version of microsoft/deberta-v3-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0102
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|
| 1.5631 | 1.0 | 1828 | 1.9772 |
| 1.5202 | 2.0 | 3656 | 1.9850 |
| 1.5102 | 3.0 | 5484 | 1.9945 |
| 1.5022 | 4.0 | 7312 | 2.0249 |
| 1.5043 | 5.0 | 9140 | 2.0102 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Base model
microsoft/deberta-v3-large