metadata
license: apache-2.0
base_model: makhataei/qa-persian-bert-fa-base-uncased
tags:
- generated_from_trainer
datasets:
- pquad
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 pquad dataset. It achieves the following results on the evaluation set:
- Loss: 5.2895
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: 0.001
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.5083 | 1.0 | 2667 | 5.2895 |
| 5.5053 | 2.0 | 5334 | 5.2895 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0