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passive-lstm-0

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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: passive-lstm-0
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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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+ # passive-lstm-0
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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: 3.9751
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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: 0
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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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+ | 4.7967 | 0.03 | 76320 | 4.7654 |
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+ | 4.5105 | 1.03 | 152640 | 4.4848 |
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+ | 4.364 | 0.03 | 228960 | 4.3488 |
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+ | 4.2808 | 1.03 | 305280 | 4.2656 |
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+ | 4.2147 | 0.03 | 381600 | 4.2086 |
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+ | 4.1698 | 1.03 | 457920 | 4.1672 |
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+ | 4.1303 | 0.03 | 534240 | 4.1355 |
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+ | 4.0968 | 0.03 | 610560 | 4.1111 |
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+ | 4.0683 | 1.03 | 686880 | 4.0911 |
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+ | 4.0422 | 0.03 | 763200 | 4.0753 |
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+ | 4.0192 | 1.03 | 839520 | 4.0622 |
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+ | 4.0024 | 0.03 | 915840 | 4.0506 |
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+ | 3.9838 | 1.03 | 992160 | 4.0418 |
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+ | 3.9649 | 0.03 | 1068480 | 4.0331 |
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+ | 3.9532 | 1.03 | 1144800 | 4.0262 |
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+ | 3.9473 | 0.03 | 1221120 | 4.0205 |
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+ | 3.9366 | 1.03 | 1297440 | 4.0154 |
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+ | 3.9278 | 0.03 | 1373760 | 4.0112 |
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+ | 3.9154 | 1.03 | 1450080 | 4.0068 |
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+ | 3.9157 | 0.03 | 1526400 | 4.0030 |
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+ | 3.91 | 1.03 | 1602720 | 3.9997 |
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+ | 3.9074 | 0.03 | 1679040 | 3.9966 |
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+ | 3.9004 | 0.03 | 1755360 | 3.9936 |
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+ | 3.895 | 1.03 | 1831680 | 3.9921 |
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+ | 3.8859 | 0.03 | 1908000 | 3.9900 |
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+ | 3.8817 | 1.03 | 1984320 | 3.9889 |
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+ | 3.8741 | 0.03 | 2060640 | 3.9870 |
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+ | 3.8677 | 1.03 | 2136960 | 3.9854 |
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+ | 3.8609 | 0.03 | 2213280 | 3.9839 |
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+ | 3.8528 | 1.03 | 2289600 | 3.9827 |
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+ | 3.8486 | 0.03 | 2365920 | 3.9815 |
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+ | 3.8523 | 1.03 | 2442240 | 3.9804 |
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+ | 3.8484 | 0.03 | 2518560 | 3.9794 |
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+ | 3.8468 | 1.03 | 2594880 | 3.9784 |
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+ | 3.8399 | 0.03 | 2671200 | 3.9779 |
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+ | 3.8457 | 0.03 | 2747520 | 3.9771 |
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+ | 3.8448 | 1.03 | 2823840 | 3.9764 |
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+ | 3.8464 | 0.03 | 2900160 | 3.9761 |
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+ | 3.8464 | 1.03 | 2976480 | 3.9755 |
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+ | 3.8418 | 0.02 | 3052726 | 3.9751 |
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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