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farsi_lastname_classifier
This model is a fine-tuned version of microsoft/deberta-v3-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0436
- Pearson: 0.9325
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: 8e-05
- train_batch_size: 128
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson |
|---|---|---|---|---|
| No log | 1.0 | 12 | 0.2989 | 0.6985 |
| No log | 2.0 | 24 | 0.1378 | 0.7269 |
| No log | 3.0 | 36 | 0.0459 | 0.9122 |
| No log | 4.0 | 48 | 0.0454 | 0.9304 |
| No log | 5.0 | 60 | 0.0564 | 0.9168 |
| No log | 6.0 | 72 | 0.0434 | 0.9315 |
| No log | 7.0 | 84 | 0.0452 | 0.9254 |
| No log | 8.0 | 96 | 0.0381 | 0.9320 |
| No log | 9.0 | 108 | 0.0441 | 0.9327 |
| No log | 10.0 | 120 | 0.0436 | 0.9325 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2
