distilbert-fa-zwnj-base-finetuned-pquad
This model is a fine-tuned version of HooshvareLab/distilbert-fa-zwnj-base on the pquad dataset.
Results
Test set
| name | value |
|---|---|
| 'exact' | 66.38340414896275, |
| 'f1' | 80.23760220987583, |
| 'total' | 8002, |
| 'HasAns_exact' | 60.13469119579501, |
| 'HasAns_f1' | 78.34449620292781, |
| 'HasAns_total' | 6088, |
| 'NoAns_exact' | 86.25914315569489, |
| 'NoAns_f1' | 86.25914315569489, |
| 'NoAns_total' | 1914, |
| 'best_exact' | 66.38340414896275, |
| 'best_exact_thresh' | 0.0, |
| 'best_f1' | 80.23760220987589, |
| 'best_f1_thresh' | 0.0 |
Validation set
| name | value |
|---|---|
| 'exact' | 64.65646940822468, |
| 'f1' | 78.88641788270802, |
| 'total' | 7976, |
| 'HasAns_exact' | 57.54795663052544, |
| 'HasAns_f1' | 76.4800782372771, |
| 'HasAns_total' | 5995, |
| 'NoAns_exact' | 86.16860171630489, |
| 'NoAns_f1' | 86.16860171630489, |
| 'NoAns_total' | 1981, |
| 'best_exact' | 64.65646940822468, |
| 'best_exact_thresh' | 0.0, |
| 'best_f1' | 78.88641788270819, |
| 'best_f1_thresh' | 0.0 |
Model description
uses distilbert-fa-zwnj-base as base and fine-tunes it on pquad dataset.
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1299 | 1.0 | 4003 | 1.1306 |
| 0.845 | 2.0 | 8006 | 1.0839 |
| 0.639 | 3.0 | 12009 | 1.1302 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2