|
--- |
|
license: apache-2.0 |
|
base_model: google-bert/bert-base-multilingual-uncased |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: qa-bert-base-multilingual-uncased |
|
results: [] |
|
datasets: |
|
- SajjadAyoubi/persian_qa |
|
--- |
|
|
|
<!-- 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-bert-base-multilingual-uncased |
|
|
|
This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on [SajjadAyoubi/persian_qa](https://huggingface.co/datasets/SajjadAyoubi/persian_qa) dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.7136 |
|
|
|
## 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: 1e-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: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 3.0763 | 1.0 | 570 | 1.8933 | |
|
| 2.0611 | 2.0 | 1140 | 1.6730 | |
|
| 1.7286 | 3.0 | 1710 | 1.6859 | |
|
| 1.5198 | 4.0 | 2280 | 1.6814 | |
|
| 1.3609 | 5.0 | 2850 | 1.7136 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.42.4 |
|
- Pytorch 2.3.1+cu121 |
|
- Datasets 2.21.0 |
|
- Tokenizers 0.19.1 |
