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npi-only-lstm-4

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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-4
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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-4
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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: 3.9706
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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: 4
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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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+ | 4.7842 | 0.03 | 76320 | 4.7527 |
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+ | 4.4998 | 1.03 | 152640 | 4.4706 |
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+ | 4.3572 | 0.03 | 228960 | 4.3365 |
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+ | 4.2678 | 1.03 | 305280 | 4.2554 |
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+ | 4.2074 | 0.03 | 381600 | 4.1993 |
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+ | 4.1611 | 0.03 | 457920 | 4.1584 |
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+ | 4.124 | 1.03 | 534240 | 4.1284 |
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+ | 4.0944 | 0.03 | 610560 | 4.1041 |
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+ | 4.0657 | 1.03 | 686880 | 4.0844 |
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+ | 4.0387 | 0.03 | 763200 | 4.0687 |
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+ | 4.0176 | 1.03 | 839520 | 4.0560 |
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+ | 3.9991 | 0.03 | 915840 | 4.0455 |
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+ | 3.9839 | 1.03 | 992160 | 4.0365 |
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+ | 3.9667 | 0.03 | 1068480 | 4.0277 |
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+ | 3.9517 | 1.03 | 1144800 | 4.0214 |
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+ | 3.9502 | 0.03 | 1221120 | 4.0157 |
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+ | 3.9349 | 1.03 | 1297440 | 4.0106 |
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+ | 3.9256 | 0.03 | 1373760 | 4.0061 |
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+ | 3.9164 | 1.03 | 1450080 | 4.0017 |
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+ | 3.9074 | 0.03 | 1526400 | 3.9981 |
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+ | 3.9035 | 1.03 | 1602720 | 3.9951 |
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+ | 3.9005 | 0.03 | 1679040 | 3.9921 |
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+ | 3.8957 | 1.03 | 1755360 | 3.9897 |
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+ | 3.8926 | 0.03 | 1831680 | 3.9872 |
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+ | 3.8848 | 1.03 | 1908000 | 3.9855 |
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+ | 3.8765 | 0.03 | 1984320 | 3.9838 |
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+ | 3.8697 | 1.03 | 2060640 | 3.9820 |
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+ | 3.8651 | 0.03 | 2136960 | 3.9800 |
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+ | 3.8594 | 1.03 | 2213280 | 3.9783 |
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+ | 3.8534 | 0.03 | 2289600 | 3.9772 |
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+ | 3.8469 | 1.03 | 2365920 | 3.9761 |
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+ | 3.8539 | 0.03 | 2442240 | 3.9754 |
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+ | 3.8443 | 1.03 | 2518560 | 3.9743 |
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+ | 3.8401 | 0.03 | 2594880 | 3.9737 |
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+ | 3.8388 | 1.03 | 2671200 | 3.9727 |
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+ | 3.8347 | 0.03 | 2747520 | 3.9720 |
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+ | 3.8367 | 1.03 | 2823840 | 3.9715 |
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+ | 3.837 | 0.03 | 2900160 | 3.9711 |
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+ | 3.8384 | 0.03 | 2976480 | 3.9706 |
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+ | 3.8395 | 1.02 | 3052726 | 3.9706 |
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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