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shahajbert_nwp_finetuning_def_v1

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  1. README.md +106 -0
  2. model.safetensors +1 -1
  3. runs/Feb24_21-02-42_5aba00dcca21/events.out.tfevents.1708816953.5aba00dcca21.2391.1 +3 -0
README.md ADDED
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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_def_v1
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+ results: []
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+ ---
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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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+
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+ # shahajbert_nwp_finetuning_def_v1
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+
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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: 3.3686
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 3.4643 | 1.0 | 1294 | 3.4986 |
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+ | 3.3773 | 2.0 | 2588 | 3.4239 |
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+ | 3.3263 | 3.0 | 3882 | 3.4514 |
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+ | 3.253 | 4.0 | 5176 | 3.4217 |
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+ | 3.1767 | 5.0 | 6470 | 3.3953 |
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+ | 3.1382 | 6.0 | 7764 | 3.3723 |
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+ | 3.0959 | 7.0 | 9058 | 3.3533 |
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+ | 3.0717 | 8.0 | 10352 | 3.3841 |
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+ | 3.0472 | 9.0 | 11646 | 3.3747 |
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+ | 3.003 | 10.0 | 12940 | 3.4074 |
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+ | 2.9259 | 11.0 | 14234 | 3.3752 |
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+ | 2.9641 | 12.0 | 15528 | 3.4120 |
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+ | 2.9016 | 13.0 | 16822 | 3.3769 |
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+ | 2.9102 | 14.0 | 18116 | 3.4494 |
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+ | 2.8359 | 15.0 | 19410 | 3.3717 |
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+ | 2.8327 | 16.0 | 20704 | 3.3801 |
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+ | 2.7914 | 17.0 | 21998 | 3.4244 |
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+ | 2.776 | 18.0 | 23292 | 3.3533 |
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+ | 2.7258 | 19.0 | 24586 | 3.3669 |
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+ | 2.7304 | 20.0 | 25880 | 3.3113 |
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+ | 2.6619 | 21.0 | 27174 | 3.3531 |
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+ | 2.6721 | 22.0 | 28468 | 3.3728 |
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+ | 2.6387 | 23.0 | 29762 | 3.4085 |
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+ | 2.6302 | 24.0 | 31056 | 3.3909 |
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+ | 2.5952 | 25.0 | 32350 | 3.3288 |
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+ | 2.5854 | 26.0 | 33644 | 3.3465 |
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+ | 2.5597 | 27.0 | 34938 | 3.3854 |
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+ | 2.5667 | 28.0 | 36232 | 3.3977 |
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+ | 2.5189 | 29.0 | 37526 | 3.4447 |
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+ | 2.5253 | 30.0 | 38820 | 3.4329 |
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+ | 2.5013 | 31.0 | 40114 | 3.3689 |
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+ | 2.4165 | 32.0 | 41408 | 3.4354 |
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+ | 2.4414 | 33.0 | 42702 | 3.4247 |
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+ | 2.4435 | 34.0 | 43996 | 3.4555 |
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+ | 2.3846 | 35.0 | 45290 | 3.3626 |
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+ | 2.3611 | 36.0 | 46584 | 3.4496 |
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+ | 2.3753 | 37.0 | 47878 | 3.4788 |
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+ | 2.3526 | 38.0 | 49172 | 3.4418 |
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+ | 2.3543 | 39.0 | 50466 | 3.4803 |
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+ | 2.3279 | 40.0 | 51760 | 3.4240 |
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+ | 2.3388 | 41.0 | 53054 | 3.4378 |
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+ | 2.3182 | 42.0 | 54348 | 3.4351 |
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+ | 2.3118 | 43.0 | 55642 | 3.4245 |
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+ | 2.3033 | 44.0 | 56936 | 3.4708 |
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+ | 2.2757 | 45.0 | 58230 | 3.4062 |
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+ | 2.2733 | 46.0 | 59524 | 3.5356 |
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+ | 2.2746 | 47.0 | 60818 | 3.4078 |
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+ | 2.2683 | 48.0 | 62112 | 3.4636 |
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+ | 2.2498 | 49.0 | 63406 | 3.4752 |
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+ | 2.2418 | 50.0 | 64700 | 3.4336 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.1
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.17.1
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+ - Tokenizers 0.15.2
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