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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: npi-sim-ques-lstm-4 |
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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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# npi-sim-ques-lstm-4 |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.9697 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 4 |
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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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- training_steps: 3052726 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-------:|:---------------:| |
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| 4.7918 | 0.03 | 76320 | 4.7476 | |
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| 4.5063 | 1.03 | 152640 | 4.4713 | |
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| 4.3693 | 0.03 | 228960 | 4.3372 | |
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| 4.2798 | 1.03 | 305280 | 4.2552 | |
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| 4.2162 | 0.03 | 381600 | 4.1996 | |
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| 4.1702 | 1.03 | 457920 | 4.1579 | |
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| 4.1299 | 0.03 | 534240 | 4.1274 | |
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| 4.0979 | 1.03 | 610560 | 4.1032 | |
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| 4.0699 | 0.03 | 686880 | 4.0841 | |
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| 4.0453 | 1.03 | 763200 | 4.0682 | |
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| 4.0227 | 0.03 | 839520 | 4.0544 | |
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| 4.0083 | 1.03 | 915840 | 4.0439 | |
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| 3.9855 | 0.03 | 992160 | 4.0348 | |
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| 3.9686 | 1.03 | 1068480 | 4.0269 | |
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| 3.9569 | 0.03 | 1144800 | 4.0202 | |
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| 3.9536 | 1.03 | 1221120 | 4.0145 | |
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| 3.9419 | 0.03 | 1297440 | 4.0091 | |
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| 3.9296 | 1.03 | 1373760 | 4.0045 | |
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| 3.9249 | 0.03 | 1450080 | 4.0007 | |
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| 3.9165 | 1.03 | 1526400 | 3.9972 | |
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| 3.91 | 0.03 | 1602720 | 3.9940 | |
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| 3.9061 | 1.03 | 1679040 | 3.9914 | |
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| 3.9003 | 0.03 | 1755360 | 3.9890 | |
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| 3.8927 | 1.03 | 1831680 | 3.9870 | |
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| 3.8857 | 0.03 | 1908000 | 3.9842 | |
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| 3.8796 | 1.03 | 1984320 | 3.9827 | |
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| 3.8738 | 0.03 | 2060640 | 3.9813 | |
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| 3.8713 | 1.03 | 2136960 | 3.9798 | |
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| 3.8624 | 0.03 | 2213280 | 3.9784 | |
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| 3.8527 | 0.03 | 2289600 | 3.9773 | |
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| 3.8497 | 1.03 | 2365920 | 3.9758 | |
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| 3.8542 | 0.03 | 2442240 | 3.9742 | |
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| 3.8492 | 0.03 | 2518560 | 3.9731 | |
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| 3.8441 | 1.03 | 2594880 | 3.9722 | |
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| 3.845 | 0.03 | 2671200 | 3.9717 | |
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| 3.8432 | 0.03 | 2747520 | 3.9712 | |
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| 3.8429 | 1.03 | 2823840 | 3.9707 | |
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| 3.8432 | 0.03 | 2900160 | 3.9704 | |
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| 3.8435 | 1.03 | 2976480 | 3.9700 | |
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| 3.8378 | 0.02 | 3052726 | 3.9697 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.0.1 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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