qa-bert-base-multilingual-uncased
This model is a fine-tuned version of google-bert/bert-base-multilingual-uncased on 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
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Model tree for Farabzadeh/qa-bert-base-multilingual-uncased
Base model
google-bert/bert-base-multilingual-uncased