metadata
license: mit
base_model: urduhack/roberta-urdu-small
tags:
- generated_from_trainer
model-index:
- name: roberta-urdu-small-finetuned-urdu
results: []
roberta-urdu-small-finetuned-urdu
This model is a fine-tuned version of urduhack/roberta-urdu-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.2432
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.9463 | 1.0 | 144 | 5.5012 |
| 4.2297 | 2.0 | 288 | 5.2253 |
| 4.045 | 3.0 | 432 | 5.2380 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1