license: apache-2.0
tags:
- generated_from_trainer
datasets:
- pquad
model-index:
- name: distilbert-fa-zwnj-base-finetuned-pquad
results: []
language:
- fa
library_name: transformers
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
'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
'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