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passive-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: passive-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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+ # passive-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: 3.9752
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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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+ | 4.786 | 0.03 | 76320 | 4.7548 |
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+ | 4.5038 | 1.03 | 152640 | 4.4770 |
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+ | 4.3578 | 0.03 | 228960 | 4.3425 |
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+ | 4.2754 | 1.03 | 305280 | 4.2601 |
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+ | 4.2103 | 0.03 | 381600 | 4.2042 |
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+ | 4.167 | 1.03 | 457920 | 4.1633 |
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+ | 4.1277 | 0.03 | 534240 | 4.1333 |
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+ | 4.0937 | 1.03 | 610560 | 4.1091 |
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+ | 4.0654 | 0.03 | 686880 | 4.0896 |
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+ | 4.0421 | 0.03 | 763200 | 4.0738 |
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+ | 4.0183 | 1.03 | 839520 | 4.0603 |
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+ | 4.0005 | 0.03 | 915840 | 4.0497 |
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+ | 3.9827 | 1.03 | 992160 | 4.0406 |
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+ | 3.9616 | 0.03 | 1068480 | 4.0328 |
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+ | 3.9518 | 1.03 | 1144800 | 4.0262 |
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+ | 3.9451 | 0.03 | 1221120 | 4.0199 |
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+ | 3.9351 | 1.03 | 1297440 | 4.0155 |
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+ | 3.927 | 0.03 | 1373760 | 4.0110 |
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+ | 3.9139 | 1.03 | 1450080 | 4.0067 |
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+ | 3.9136 | 0.03 | 1526400 | 4.0030 |
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+ | 3.9056 | 1.03 | 1602720 | 4.0003 |
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+ | 3.9037 | 0.03 | 1679040 | 3.9974 |
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+ | 3.8981 | 1.03 | 1755360 | 3.9947 |
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+ | 3.8921 | 0.03 | 1831680 | 3.9926 |
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+ | 3.8817 | 1.03 | 1908000 | 3.9909 |
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+ | 3.8764 | 0.03 | 1984320 | 3.9887 |
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+ | 3.867 | 1.03 | 2060640 | 3.9868 |
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+ | 3.8619 | 0.03 | 2136960 | 3.9857 |
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+ | 3.8544 | 1.03 | 2213280 | 3.9842 |
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+ | 3.8438 | 0.03 | 2289600 | 3.9830 |
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+ | 3.842 | 1.03 | 2365920 | 3.9820 |
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+ | 3.8454 | 0.03 | 2442240 | 3.9809 |
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+ | 3.8413 | 1.03 | 2518560 | 3.9797 |
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+ | 3.8398 | 0.03 | 2594880 | 3.9790 |
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+ | 3.8337 | 1.03 | 2671200 | 3.9779 |
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+ | 3.8391 | 0.03 | 2747520 | 3.9774 |
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+ | 3.8369 | 1.03 | 2823840 | 3.9768 |
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+ | 3.839 | 0.03 | 2900160 | 3.9761 |
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+ | 3.8394 | 1.03 | 2976480 | 3.9755 |
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+ | 3.8356 | 0.02 | 3052726 | 3.9752 |
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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