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npi-sim-ques-lstm-2

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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-sim-ques-lstm-2
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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-sim-ques-lstm-2
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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: 3.9709
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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: 2
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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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+ | 4.806 | 0.03 | 76320 | 4.7637 |
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+ | 4.5179 | 1.03 | 152640 | 4.4810 |
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+ | 4.3786 | 0.03 | 228960 | 4.3461 |
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+ | 4.2891 | 1.03 | 305280 | 4.2627 |
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+ | 4.2257 | 0.03 | 381600 | 4.2058 |
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+ | 4.1775 | 1.03 | 457920 | 4.1652 |
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+ | 4.1404 | 0.03 | 534240 | 4.1341 |
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+ | 4.1056 | 1.03 | 610560 | 4.1093 |
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+ | 4.0786 | 0.03 | 686880 | 4.0893 |
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+ | 4.0545 | 1.03 | 763200 | 4.0733 |
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+ | 4.0336 | 0.03 | 839520 | 4.0604 |
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+ | 4.0179 | 1.03 | 915840 | 4.0494 |
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+ | 3.9965 | 0.03 | 992160 | 4.0393 |
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+ | 3.979 | 1.03 | 1068480 | 4.0310 |
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+ | 3.9668 | 0.03 | 1144800 | 4.0236 |
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+ | 3.9616 | 1.03 | 1221120 | 4.0182 |
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+ | 3.9493 | 0.03 | 1297440 | 4.0129 |
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+ | 3.9384 | 1.03 | 1373760 | 4.0078 |
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+ | 3.9327 | 0.03 | 1450080 | 4.0035 |
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+ | 3.924 | 1.03 | 1526400 | 4.0002 |
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+ | 3.9181 | 0.03 | 1602720 | 3.9966 |
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+ | 3.9132 | 1.03 | 1679040 | 3.9935 |
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+ | 3.9076 | 0.03 | 1755360 | 3.9911 |
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+ | 3.9016 | 1.03 | 1831680 | 3.9887 |
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+ | 3.8946 | 0.03 | 1908000 | 3.9864 |
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+ | 3.8885 | 1.03 | 1984320 | 3.9848 |
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+ | 3.8822 | 0.03 | 2060640 | 3.9832 |
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+ | 3.8791 | 0.03 | 2136960 | 3.9816 |
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+ | 3.8702 | 1.03 | 2213280 | 3.9803 |
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+ | 3.8615 | 0.03 | 2289600 | 3.9788 |
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+ | 3.8593 | 0.03 | 2365920 | 3.9775 |
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+ | 3.8616 | 1.03 | 2442240 | 3.9767 |
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+ | 3.8572 | 0.03 | 2518560 | 3.9757 |
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+ | 3.8525 | 1.03 | 2594880 | 3.9745 |
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+ | 3.8549 | 0.03 | 2671200 | 3.9739 |
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+ | 3.8517 | 1.03 | 2747520 | 3.9732 |
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+ | 3.85 | 0.03 | 2823840 | 3.9724 |
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+ | 3.8506 | 1.03 | 2900160 | 3.9718 |
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+ | 3.8519 | 0.03 | 2976480 | 3.9712 |
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+ | 3.8467 | 1.02 | 3052726 | 3.9709 |
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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