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---
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: []
---
<!-- 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. -->
# qa-persian-bert-fa-base-uncased
This model is a fine-tuned version of [makhataei/qa-persian-bert-fa-base-uncased](https://huggingface.co./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
|