metadata
license: apache-2.0
base_model: neuropark/sahajBERT
tags:
- generated_from_trainer
model-index:
- name: shahajbert_nwp_finetuning_test4
results: []
shahajbert_nwp_finetuning_test4
This model is a fine-tuned version of neuropark/sahajBERT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3512
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 |
|---|---|---|---|
| No log | 1.0 | 442 | 3.5414 |
| 3.5816 | 2.0 | 884 | 3.6077 |
| 3.3982 | 3.0 | 1326 | 3.4116 |
| 3.2805 | 4.0 | 1768 | 3.4087 |
| 3.1704 | 5.0 | 2210 | 3.2837 |
| 3.1138 | 6.0 | 2652 | 3.3092 |
| 3.0029 | 7.0 | 3094 | 3.3947 |
| 2.9647 | 8.0 | 3536 | 3.3681 |
| 2.9647 | 9.0 | 3978 | 3.3163 |
| 2.905 | 10.0 | 4420 | 3.3362 |
| 2.8483 | 11.0 | 4862 | 3.3709 |
| 2.7664 | 12.0 | 5304 | 3.2465 |
| 2.7149 | 13.0 | 5746 | 3.2881 |
| 2.7167 | 14.0 | 6188 | 3.2806 |
| 2.6327 | 15.0 | 6630 | 3.2336 |
| 2.5984 | 16.0 | 7072 | 3.2800 |
| 2.5561 | 17.0 | 7514 | 3.3218 |
| 2.5561 | 18.0 | 7956 | 3.2904 |
| 2.5021 | 19.0 | 8398 | 3.2421 |
| 2.4415 | 20.0 | 8840 | 3.2416 |
| 2.4228 | 21.0 | 9282 | 3.2291 |
| 2.3859 | 22.0 | 9724 | 3.2795 |
| 2.3504 | 23.0 | 10166 | 3.2575 |
| 2.2906 | 24.0 | 10608 | 3.2737 |
| 2.2716 | 25.0 | 11050 | 3.3618 |
| 2.2716 | 26.0 | 11492 | 3.2623 |
| 2.2671 | 27.0 | 11934 | 3.2853 |
| 2.2169 | 28.0 | 12376 | 3.3880 |
| 2.2031 | 29.0 | 12818 | 3.4195 |
| 2.1467 | 30.0 | 13260 | 3.3009 |
| 2.139 | 31.0 | 13702 | 3.3603 |
| 2.1133 | 32.0 | 14144 | 3.2665 |
| 2.0534 | 33.0 | 14586 | 3.4353 |
| 2.077 | 34.0 | 15028 | 3.3433 |
| 2.077 | 35.0 | 15470 | 3.3460 |
| 2.0511 | 36.0 | 15912 | 3.3844 |
| 2.0123 | 37.0 | 16354 | 3.2761 |
| 1.9915 | 38.0 | 16796 | 3.4099 |
| 1.975 | 39.0 | 17238 | 3.3159 |
| 1.9539 | 40.0 | 17680 | 3.3269 |
| 1.9193 | 41.0 | 18122 | 3.3377 |
| 1.9181 | 42.0 | 18564 | 3.4188 |
| 1.9071 | 43.0 | 19006 | 3.4064 |
| 1.9071 | 44.0 | 19448 | 3.1825 |
| 1.8729 | 45.0 | 19890 | 3.3935 |
| 1.877 | 46.0 | 20332 | 3.3168 |
| 1.8656 | 47.0 | 20774 | 3.3597 |
| 1.8549 | 48.0 | 21216 | 3.2954 |
| 1.8614 | 49.0 | 21658 | 3.3801 |
| 1.8642 | 50.0 | 22100 | 3.3173 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3