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npi-only-lstm-1

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PyTorch
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-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-only-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: 3.9692
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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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+ | 4.7741 | 0.03 | 76320 | 4.7420 |
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+ | 4.4915 | 1.03 | 152640 | 4.4631 |
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+ | 4.3483 | 0.03 | 228960 | 4.3303 |
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+ | 4.2585 | 1.03 | 305280 | 4.2483 |
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+ | 4.1993 | 0.03 | 381600 | 4.1924 |
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+ | 4.1533 | 0.03 | 457920 | 4.1528 |
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+ | 4.1166 | 1.03 | 534240 | 4.1225 |
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+ | 4.0876 | 0.03 | 610560 | 4.0987 |
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+ | 4.0603 | 1.03 | 686880 | 4.0803 |
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+ | 4.0317 | 0.03 | 763200 | 4.0637 |
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+ | 4.0102 | 1.03 | 839520 | 4.0512 |
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+ | 3.9927 | 0.03 | 915840 | 4.0407 |
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+ | 3.9778 | 1.03 | 992160 | 4.0326 |
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+ | 3.9602 | 0.03 | 1068480 | 4.0247 |
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+ | 3.9465 | 1.03 | 1144800 | 4.0175 |
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+ | 3.9422 | 0.03 | 1221120 | 4.0125 |
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+ | 3.9251 | 1.03 | 1297440 | 4.0065 |
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+ | 3.9181 | 0.03 | 1373760 | 4.0027 |
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+ | 3.9096 | 1.03 | 1450080 | 3.9988 |
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+ | 3.901 | 0.03 | 1526400 | 3.9953 |
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+ | 3.897 | 1.03 | 1602720 | 3.9925 |
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+ | 3.8934 | 0.03 | 1679040 | 3.9896 |
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+ | 3.8898 | 1.03 | 1755360 | 3.9873 |
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+ | 3.8861 | 0.03 | 1831680 | 3.9854 |
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+ | 3.8792 | 1.03 | 1908000 | 3.9838 |
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+ | 3.8721 | 0.03 | 1984320 | 3.9818 |
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+ | 3.8633 | 1.03 | 2060640 | 3.9798 |
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+ | 3.8568 | 0.03 | 2136960 | 3.9786 |
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+ | 3.8528 | 1.03 | 2213280 | 3.9773 |
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+ | 3.8456 | 0.03 | 2289600 | 3.9759 |
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+ | 3.8406 | 1.03 | 2365920 | 3.9750 |
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+ | 3.845 | 0.03 | 2442240 | 3.9736 |
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+ | 3.836 | 1.03 | 2518560 | 3.9728 |
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+ | 3.8344 | 0.03 | 2594880 | 3.9720 |
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+ | 3.8308 | 1.03 | 2671200 | 3.9715 |
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+ | 3.8287 | 0.03 | 2747520 | 3.9709 |
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+ | 3.8306 | 1.03 | 2823840 | 3.9704 |
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+ | 3.83 | 0.03 | 2900160 | 3.9699 |
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+ | 3.8331 | 1.03 | 2976480 | 3.9695 |
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+ | 3.8329 | 0.02 | 3052726 | 3.9692 |
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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