h4_f1024_l16_d256_no_kd_3_epochs
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0994
- Per Phonemes: 0.0476
- Per Hams Or Jahr: 0.0239
- Per Shidda Or Rakhawa: 0.0356
- Per Tafkheem Or Taqeeq: 0.0609
- Per Itbaq: 0.0225
- Per Safeer: 0.0295
- Per Qalqla: 0.0245
- Per Tikraar: 0.0196
- Per Tafashie: 0.0162
- Per Istitala: 0.0224
- Per Ghonna: 0.0263
- Average Per: 0.0299
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-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.2
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Per Phonemes | Per Hams Or Jahr | Per Shidda Or Rakhawa | Per Tafkheem Or Taqeeq | Per Itbaq | Per Safeer | Per Qalqla | Per Tikraar | Per Tafashie | Per Istitala | Per Ghonna | Average Per |
|---|
| 2.1346 | 0.6000 | 7279 | 0.4810 | 0.1782 | 0.1304 | 0.1829 | 0.4285 | 0.1592 | 0.1340 | 0.3205 | 0.1452 | 0.1766 | 0.1953 | 0.1024 | 0.1958 |
| 0.3336 | 1.2001 | 14558 | 0.2327 | 0.0901 | 0.0481 | 0.0756 | 0.1104 | 0.0271 | 0.0482 | 0.0376 | 0.0285 | 0.0249 | 0.0216 | 0.0406 | 0.0503 |
| 0.1949 | 1.8001 | 21837 | 0.1582 | 0.0597 | 0.0297 | 0.0493 | 0.0712 | 0.0181 | 0.0375 | 0.0260 | 0.0189 | 0.0187 | 0.0145 | 0.0281 | 0.0338 |
| 0.1409 | 2.4001 | 29116 | 0.1178 | 0.0537 | 0.0282 | 0.0436 | 0.0671 | 0.0257 | 0.0355 | 0.0266 | 0.0213 | 0.0203 | 0.0240 | 0.0290 | 0.0341 |
| 0.1409 | 3.0 | 36393 | 0.0994 | 0.0476 | 0.0239 | 0.0356 | 0.0609 | 0.0225 | 0.0295 | 0.0245 | 0.0196 | 0.0162 | 0.0224 | 0.0263 | 0.0299 |
Framework versions
- Transformers 5.9.0
- Pytorch 2.12.0+cu130
- Datasets 4.8.5
- Tokenizers 0.22.2