<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
farsi_lastname_classifier_1
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: 0.0482
- Pearson: 0.9232
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 | 0.2705 | 0.7018 |
| No log | 2.0 | 24 | 0.0993 | 0.7986 |
| No log | 3.0 | 36 | 0.0804 | 0.8347 |
| No log | 4.0 | 48 | 0.0433 | 0.9246 |
| No log | 5.0 | 60 | 0.0559 | 0.9176 |
| No log | 6.0 | 72 | 0.0465 | 0.9334 |
| No log | 7.0 | 84 | 0.0503 | 0.9154 |
| No log | 8.0 | 96 | 0.0438 | 0.9222 |
| No log | 9.0 | 108 | 0.0468 | 0.9260 |
| No log | 10.0 | 120 | 0.0482 | 0.9232 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2
