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--- |
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license: apache-2.0 |
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base_model: neuropark/sahajBERT |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: shahajbert_nwp_finetuning_test4 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# shahajbert_nwp_finetuning_test4 |
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This model is a fine-tuned version of [neuropark/sahajBERT](https://huggingface.co/neuropark/sahajBERT) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.3512 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| No log | 1.0 | 442 | 3.5414 | |
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| 3.5816 | 2.0 | 884 | 3.6077 | |
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| 3.3982 | 3.0 | 1326 | 3.4116 | |
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| 3.2805 | 4.0 | 1768 | 3.4087 | |
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| 3.1704 | 5.0 | 2210 | 3.2837 | |
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| 3.1138 | 6.0 | 2652 | 3.3092 | |
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| 3.0029 | 7.0 | 3094 | 3.3947 | |
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| 2.9647 | 8.0 | 3536 | 3.3681 | |
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| 2.9647 | 9.0 | 3978 | 3.3163 | |
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| 2.905 | 10.0 | 4420 | 3.3362 | |
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| 2.8483 | 11.0 | 4862 | 3.3709 | |
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| 2.7664 | 12.0 | 5304 | 3.2465 | |
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| 2.7149 | 13.0 | 5746 | 3.2881 | |
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| 2.7167 | 14.0 | 6188 | 3.2806 | |
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| 2.6327 | 15.0 | 6630 | 3.2336 | |
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| 2.5984 | 16.0 | 7072 | 3.2800 | |
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| 2.5561 | 17.0 | 7514 | 3.3218 | |
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| 2.5561 | 18.0 | 7956 | 3.2904 | |
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| 2.5021 | 19.0 | 8398 | 3.2421 | |
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| 2.4415 | 20.0 | 8840 | 3.2416 | |
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| 2.4228 | 21.0 | 9282 | 3.2291 | |
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| 2.3859 | 22.0 | 9724 | 3.2795 | |
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| 2.3504 | 23.0 | 10166 | 3.2575 | |
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| 2.2906 | 24.0 | 10608 | 3.2737 | |
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| 2.2716 | 25.0 | 11050 | 3.3618 | |
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| 2.2716 | 26.0 | 11492 | 3.2623 | |
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| 2.2671 | 27.0 | 11934 | 3.2853 | |
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| 2.2169 | 28.0 | 12376 | 3.3880 | |
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| 2.2031 | 29.0 | 12818 | 3.4195 | |
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| 2.1467 | 30.0 | 13260 | 3.3009 | |
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| 2.139 | 31.0 | 13702 | 3.3603 | |
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| 2.1133 | 32.0 | 14144 | 3.2665 | |
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| 2.0534 | 33.0 | 14586 | 3.4353 | |
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| 2.077 | 34.0 | 15028 | 3.3433 | |
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| 2.077 | 35.0 | 15470 | 3.3460 | |
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| 2.0511 | 36.0 | 15912 | 3.3844 | |
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| 2.0123 | 37.0 | 16354 | 3.2761 | |
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| 1.9915 | 38.0 | 16796 | 3.4099 | |
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| 1.975 | 39.0 | 17238 | 3.3159 | |
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| 1.9539 | 40.0 | 17680 | 3.3269 | |
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| 1.9193 | 41.0 | 18122 | 3.3377 | |
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| 1.9181 | 42.0 | 18564 | 3.4188 | |
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| 1.9071 | 43.0 | 19006 | 3.4064 | |
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| 1.9071 | 44.0 | 19448 | 3.1825 | |
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| 1.8729 | 45.0 | 19890 | 3.3935 | |
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| 1.877 | 46.0 | 20332 | 3.3168 | |
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| 1.8656 | 47.0 | 20774 | 3.3597 | |
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| 1.8549 | 48.0 | 21216 | 3.2954 | |
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| 1.8614 | 49.0 | 21658 | 3.3801 | |
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| 1.8642 | 50.0 | 22100 | 3.3173 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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