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npi-only-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-only-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-only-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: 3.9736
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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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+ | 4.8029 | 0.03 | 76320 | 4.7703 |
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+ | 4.5143 | 1.03 | 152640 | 4.4846 |
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+ | 4.3681 | 0.03 | 228960 | 4.3478 |
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+ | 4.278 | 1.03 | 305280 | 4.2635 |
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+ | 4.216 | 0.03 | 381600 | 4.2065 |
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+ | 4.1673 | 1.03 | 457920 | 4.1652 |
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+ | 4.1305 | 0.03 | 534240 | 4.1336 |
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+ | 4.1009 | 1.03 | 610560 | 4.1090 |
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+ | 4.072 | 0.03 | 686880 | 4.0897 |
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+ | 4.0456 | 1.03 | 763200 | 4.0734 |
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+ | 4.0221 | 0.03 | 839520 | 4.0599 |
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+ | 4.004 | 1.03 | 915840 | 4.0494 |
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+ | 3.989 | 0.03 | 992160 | 4.0406 |
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+ | 3.972 | 1.03 | 1068480 | 4.0324 |
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+ | 3.957 | 0.03 | 1144800 | 4.0258 |
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+ | 3.9552 | 1.03 | 1221120 | 4.0200 |
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+ | 3.939 | 0.03 | 1297440 | 4.0145 |
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+ | 3.9295 | 1.03 | 1373760 | 4.0097 |
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+ | 3.92 | 0.03 | 1450080 | 4.0060 |
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+ | 3.9116 | 1.03 | 1526400 | 4.0022 |
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+ | 3.9078 | 0.03 | 1602720 | 3.9989 |
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+ | 3.902 | 0.03 | 1679040 | 3.9949 |
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+ | 3.8983 | 1.03 | 1755360 | 3.9923 |
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+ | 3.8939 | 0.03 | 1831680 | 3.9896 |
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+ | 3.8878 | 1.03 | 1908000 | 3.9879 |
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+ | 3.8797 | 0.03 | 1984320 | 3.9860 |
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+ | 3.8705 | 1.03 | 2060640 | 3.9840 |
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+ | 3.8649 | 0.03 | 2136960 | 3.9826 |
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+ | 3.8623 | 1.03 | 2213280 | 3.9813 |
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+ | 3.8555 | 0.03 | 2289600 | 3.9799 |
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+ | 3.8494 | 1.03 | 2365920 | 3.9790 |
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+ | 3.8561 | 0.03 | 2442240 | 3.9782 |
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+ | 3.8472 | 1.03 | 2518560 | 3.9773 |
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+ | 3.8448 | 0.03 | 2594880 | 3.9766 |
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+ | 3.8419 | 1.03 | 2671200 | 3.9760 |
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+ | 3.8398 | 0.03 | 2747520 | 3.9753 |
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+ | 3.842 | 1.03 | 2823840 | 3.9746 |
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+ | 3.8406 | 0.03 | 2900160 | 3.9742 |
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+ | 3.8414 | 1.03 | 2976480 | 3.9738 |
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+ | 3.8422 | 0.02 | 3052726 | 3.9736 |
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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