bert-base-multilingual-uncased-finetuned-urdu
This model is a fine-tuned version of bert-base-multilingual-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0077
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 |
|---|---|---|---|
| 2.5368 | 1.0 | 174 | 3.1854 |
| 2.3333 | 2.0 | 348 | 2.9876 |
| 2.2536 | 3.0 | 522 | 2.9018 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for cxfajar197/bert-base-multilingual-uncased-finetuned-urdu
Base model
google-bert/bert-base-multilingual-uncased