Banglabert_nwp_finetuning_def_v2
This model is a fine-tuned version of csebuetnlp/banglabert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.5135
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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.9985 | 1.0 | 2487 | 5.4179 |
| 5.1899 | 2.0 | 4974 | 4.8725 |
| 4.8308 | 3.0 | 7461 | 4.6051 |
| 4.6303 | 4.0 | 9948 | 4.4425 |
| 4.4543 | 5.0 | 12435 | 4.3072 |
| 4.2875 | 6.0 | 14922 | 4.2110 |
| 4.2355 | 7.0 | 17409 | 4.1004 |
| 4.1108 | 8.0 | 19896 | 4.0693 |
| 4.0311 | 9.0 | 22383 | 3.9807 |
| 3.9836 | 10.0 | 24870 | 3.9329 |
| 3.9049 | 11.0 | 27357 | 3.9332 |
| 3.8663 | 12.0 | 29844 | 3.9027 |
| 3.7633 | 13.0 | 32331 | 3.8750 |
| 3.7639 | 14.0 | 34818 | 3.7487 |
| 3.6831 | 15.0 | 37305 | 3.7775 |
| 3.6808 | 16.0 | 39792 | 3.7372 |
| 3.6136 | 17.0 | 42279 | 3.7313 |
| 3.5998 | 18.0 | 44766 | 3.6778 |
| 3.531 | 19.0 | 47253 | 3.6912 |
| 3.5361 | 20.0 | 49740 | 3.6869 |
| 3.509 | 21.0 | 52227 | 3.6790 |
| 3.4625 | 22.0 | 54714 | 3.6425 |
| 3.418 | 23.0 | 57201 | 3.6572 |
| 3.369 | 24.0 | 59688 | 3.6407 |
| 3.3832 | 25.0 | 62175 | 3.6278 |
| 3.3728 | 26.0 | 64662 | 3.5715 |
| 3.3304 | 27.0 | 67149 | 3.6413 |
| 3.2864 | 28.0 | 69636 | 3.5743 |
| 3.3057 | 29.0 | 72123 | 3.5227 |
| 3.2916 | 30.0 | 74610 | 3.5448 |
| 3.2541 | 31.0 | 77097 | 3.5422 |
| 3.2293 | 32.0 | 79584 | 3.5775 |
| 3.1839 | 33.0 | 82071 | 3.5705 |
| 3.2106 | 34.0 | 84558 | 3.5680 |
| 3.185 | 35.0 | 87045 | 3.5225 |
| 3.1845 | 36.0 | 89532 | 3.5237 |
| 3.1581 | 37.0 | 92019 | 3.5300 |
| 3.1569 | 38.0 | 94506 | 3.5081 |
| 3.1222 | 39.0 | 96993 | 3.5217 |
| 3.1007 | 40.0 | 99480 | 3.4810 |
| 3.1094 | 41.0 | 101967 | 3.5475 |
| 3.1289 | 42.0 | 104454 | 3.5126 |
| 3.0841 | 43.0 | 106941 | 3.5076 |
| 3.0834 | 44.0 | 109428 | 3.5101 |
| 3.0862 | 45.0 | 111915 | 3.4777 |
| 3.0843 | 46.0 | 114402 | 3.5116 |
| 3.042 | 47.0 | 116889 | 3.5031 |
| 3.0424 | 48.0 | 119376 | 3.4991 |
| 3.0855 | 49.0 | 121863 | 3.5203 |
| 3.0325 | 50.0 | 124350 | 3.5110 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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