distillmbert-sindhi-extended-Reduced-learning-rate
This model is a fine-tuned version of Kashif786/distillmbert-sindhi-extended-Reduced-learning-rate on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6384
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: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.1964 | 0.1423 | 3000 | 3.5058 |
| 6.4062 | 0.2846 | 6000 | 3.0843 |
| 5.9654 | 0.4269 | 9000 | 2.8922 |
| 5.6859 | 0.5691 | 12000 | 2.7756 |
| 5.5222 | 0.7114 | 15000 | 2.6784 |
| 5.4597 | 0.8537 | 18000 | 2.6478 |
| 5.4920 | 0.9960 | 21000 | 2.6347 |
| 5.4920 | 1.0 | 21085 | 2.6384 |
Framework versions
- Transformers 5.17.0
- Pytorch 2.8.0+cu129
- Datasets 5.0.1
- Tokenizers 0.23.2