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npi-only-lstm-3

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rnn
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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-only-lstm-3
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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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+ # npi-only-lstm-3
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+
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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: 3.9705
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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: 5e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 3
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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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+
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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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+ | 4.7826 | 0.03 | 76320 | 4.7510 |
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+ | 4.5004 | 1.03 | 152640 | 4.4703 |
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+ | 4.3575 | 0.03 | 228960 | 4.3375 |
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+ | 4.2671 | 1.03 | 305280 | 4.2553 |
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+ | 4.2064 | 0.03 | 381600 | 4.1993 |
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+ | 4.1595 | 0.03 | 457920 | 4.1588 |
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+ | 4.1245 | 1.03 | 534240 | 4.1278 |
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+ | 4.0945 | 0.03 | 610560 | 4.1034 |
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+ | 4.0642 | 1.03 | 686880 | 4.0842 |
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+ | 4.0397 | 0.03 | 763200 | 4.0684 |
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+ | 4.0162 | 1.03 | 839520 | 4.0550 |
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+ | 3.9985 | 0.03 | 915840 | 4.0436 |
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+ | 3.9823 | 1.03 | 992160 | 4.0350 |
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+ | 3.9654 | 0.03 | 1068480 | 4.0271 |
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+ | 3.9503 | 1.03 | 1144800 | 4.0206 |
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+ | 3.9479 | 0.03 | 1221120 | 4.0142 |
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+ | 3.931 | 1.03 | 1297440 | 4.0093 |
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+ | 3.9237 | 0.03 | 1373760 | 4.0047 |
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+ | 3.9141 | 1.03 | 1450080 | 4.0008 |
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+ | 3.906 | 0.03 | 1526400 | 3.9974 |
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+ | 3.9013 | 1.03 | 1602720 | 3.9938 |
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+ | 3.8963 | 0.03 | 1679040 | 3.9907 |
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+ | 3.8925 | 1.03 | 1755360 | 3.9887 |
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+ | 3.8896 | 0.03 | 1831680 | 3.9860 |
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+ | 3.8836 | 1.03 | 1908000 | 3.9843 |
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+ | 3.8748 | 0.03 | 1984320 | 3.9827 |
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+ | 3.8673 | 1.03 | 2060640 | 3.9812 |
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+ | 3.8615 | 0.03 | 2136960 | 3.9798 |
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+ | 3.8572 | 1.03 | 2213280 | 3.9788 |
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+ | 3.8511 | 0.03 | 2289600 | 3.9777 |
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+ | 3.8439 | 1.03 | 2365920 | 3.9765 |
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+ | 3.8495 | 0.03 | 2442240 | 3.9754 |
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+ | 3.8417 | 1.03 | 2518560 | 3.9744 |
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+ | 3.8409 | 0.03 | 2594880 | 3.9737 |
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+ | 3.835 | 1.03 | 2671200 | 3.9728 |
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+ | 3.8324 | 0.03 | 2747520 | 3.9721 |
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+ | 3.8345 | 0.03 | 2823840 | 3.9717 |
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+ | 3.8342 | 1.03 | 2900160 | 3.9711 |
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+ | 3.8352 | 0.03 | 2976480 | 3.9707 |
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+ | 3.8367 | 0.02 | 3052726 | 3.9705 |
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+
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+
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+ ### Framework versions
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+
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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