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npi-sim-ques-lstm-1

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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-1
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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-1
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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: 3.9738
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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: 1
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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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+ | 4.808 | 0.03 | 76320 | 4.7646 |
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+ | 4.517 | 1.03 | 152640 | 4.4810 |
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+ | 4.3769 | 0.03 | 228960 | 4.3454 |
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+ | 4.2883 | 1.03 | 305280 | 4.2620 |
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+ | 4.2251 | 0.03 | 381600 | 4.2058 |
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+ | 4.1783 | 1.03 | 457920 | 4.1642 |
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+ | 4.1398 | 0.03 | 534240 | 4.1328 |
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+ | 4.1063 | 1.03 | 610560 | 4.1090 |
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+ | 4.0768 | 0.03 | 686880 | 4.0893 |
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+ | 4.0513 | 1.03 | 763200 | 4.0727 |
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+ | 4.0319 | 0.03 | 839520 | 4.0599 |
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+ | 4.0156 | 1.03 | 915840 | 4.0485 |
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+ | 3.9952 | 0.03 | 992160 | 4.0396 |
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+ | 3.9764 | 1.03 | 1068480 | 4.0313 |
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+ | 3.9656 | 0.03 | 1144800 | 4.0246 |
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+ | 3.9602 | 1.03 | 1221120 | 4.0185 |
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+ | 3.9491 | 0.03 | 1297440 | 4.0136 |
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+ | 3.9384 | 1.03 | 1373760 | 4.0097 |
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+ | 3.9339 | 0.03 | 1450080 | 4.0058 |
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+ | 3.9252 | 0.03 | 1526400 | 4.0019 |
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+ | 3.919 | 1.03 | 1602720 | 3.9987 |
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+ | 3.9154 | 0.03 | 1679040 | 3.9963 |
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+ | 3.9118 | 1.03 | 1755360 | 3.9935 |
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+ | 3.903 | 0.03 | 1831680 | 3.9915 |
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+ | 3.8975 | 1.03 | 1908000 | 3.9888 |
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+ | 3.8895 | 0.03 | 1984320 | 3.9869 |
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+ | 3.8837 | 1.03 | 2060640 | 3.9851 |
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+ | 3.8809 | 0.03 | 2136960 | 3.9834 |
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+ | 3.8705 | 1.03 | 2213280 | 3.9819 |
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+ | 3.8621 | 0.03 | 2289600 | 3.9805 |
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+ | 3.8598 | 1.03 | 2365920 | 3.9793 |
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+ | 3.865 | 0.03 | 2442240 | 3.9782 |
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+ | 3.8602 | 0.03 | 2518560 | 3.9776 |
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+ | 3.8551 | 1.03 | 2594880 | 3.9768 |
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+ | 3.8547 | 0.03 | 2671200 | 3.9762 |
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+ | 3.8535 | 1.03 | 2747520 | 3.9755 |
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+ | 3.853 | 0.03 | 2823840 | 3.9751 |
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+ | 3.8554 | 0.03 | 2900160 | 3.9744 |
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+ | 3.8553 | 0.03 | 2976480 | 3.9741 |
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+ | 3.8517 | 1.02 | 3052726 | 3.9738 |
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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