metadata
license: apache-2.0
base_model: makhataei/qa-persian-bert-fa-base-uncased
tags:
- generated_from_trainer
datasets:
- parsinlu_reading_comprehension
model-index:
- name: qa-persian-bert-fa-base-uncased
results: []
qa-persian-bert-fa-base-uncased
This model is a fine-tuned version of makhataei/qa-persian-bert-fa-base-uncased on the parsinlu_reading_comprehension dataset. It achieves the following results on the evaluation set:
- Loss: 5.4827
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: 2.5e-06
- train_batch_size: 13
- eval_batch_size: 13
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.5545 | 1.0 | 47 | 5.4827 |
| 5.5933 | 2.0 | 94 | 5.4827 |
| 5.5715 | 3.0 | 141 | 5.4827 |
| 5.5982 | 4.0 | 188 | 5.4827 |
| 5.575 | 5.0 | 235 | 5.4827 |
| 5.5952 | 6.0 | 282 | 5.4827 |
| 5.5846 | 7.0 | 329 | 5.4827 |
| 5.5727 | 8.0 | 376 | 5.4827 |
| 5.5257 | 9.0 | 423 | 5.4827 |
| 5.5533 | 10.0 | 470 | 5.4827 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0