metadata
tags:
- generated_from_trainer
base_model: makhataei/qa-persian-xlmr-large
model-index:
- name: qa-persian-xlmr-large
results: []
qa-persian-xlmr-large
This model is a fine-tuned version of makhataei/qa-persian-xlmr-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.0366
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: 5e-06
- train_batch_size: 14
- eval_batch_size: 14
- 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 |
|---|---|---|---|
| 2.0175 | 1.0 | 202 | 1.5773 |
| 1.17 | 2.0 | 404 | 1.7608 |
| 0.6861 | 3.0 | 606 | 2.2780 |
| 0.4457 | 4.0 | 808 | 2.8859 |
| 0.2626 | 5.0 | 1010 | 3.9207 |
| 0.1862 | 6.0 | 1212 | 4.6119 |
| 0.1264 | 7.0 | 1414 | 4.8694 |
| 0.0786 | 8.0 | 1616 | 4.8824 |
| 0.0566 | 9.0 | 1818 | 4.9686 |
| 0.0571 | 10.0 | 2020 | 5.0366 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2