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re-irr-sv-agr-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: re-irr-sv-agr-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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+ # re-irr-sv-agr-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: 3.9886
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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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+ | 4.7815 | 0.03 | 76320 | 4.7702 |
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+ | 4.4981 | 1.03 | 152640 | 4.4915 |
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+ | 4.3568 | 0.03 | 228960 | 4.3572 |
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+ | 4.2708 | 1.03 | 305280 | 4.2738 |
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+ | 4.2093 | 0.03 | 381600 | 4.2181 |
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+ | 4.1624 | 0.03 | 457920 | 4.1769 |
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+ | 4.1251 | 1.03 | 534240 | 4.1461 |
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+ | 4.091 | 2.03 | 610560 | 4.1220 |
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+ | 4.0637 | 0.03 | 686880 | 4.1029 |
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+ | 4.04 | 1.03 | 763200 | 4.0868 |
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+ | 4.0174 | 0.03 | 839520 | 4.0741 |
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+ | 4.0037 | 1.03 | 915840 | 4.0630 |
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+ | 3.9901 | 0.03 | 992160 | 4.0538 |
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+ | 3.9695 | 0.03 | 1068480 | 4.0454 |
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+ | 3.9562 | 1.03 | 1144800 | 4.0385 |
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+ | 3.9406 | 0.03 | 1221120 | 4.0326 |
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+ | 3.927 | 1.03 | 1297440 | 4.0275 |
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+ | 3.9166 | 0.03 | 1373760 | 4.0226 |
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+ | 3.9069 | 1.03 | 1450080 | 4.0190 |
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+ | 3.9057 | 2.03 | 1526400 | 4.0156 |
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+ | 3.9015 | 0.03 | 1602720 | 4.0130 |
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+ | 3.8975 | 1.03 | 1679040 | 4.0097 |
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+ | 3.8935 | 2.03 | 1755360 | 4.0071 |
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+ | 3.8858 | 0.03 | 1831680 | 4.0051 |
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+ | 3.8802 | 1.03 | 1908000 | 4.0033 |
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+ | 3.8737 | 2.03 | 1984320 | 4.0017 |
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+ | 3.8668 | 0.03 | 2060640 | 4.0003 |
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+ | 3.8664 | 1.03 | 2136960 | 3.9989 |
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+ | 3.8646 | 0.03 | 2213280 | 3.9974 |
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+ | 3.8568 | 1.03 | 2289600 | 3.9957 |
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+ | 3.8493 | 0.03 | 2365920 | 3.9950 |
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+ | 3.8429 | 1.03 | 2442240 | 3.9941 |
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+ | 3.8357 | 0.03 | 2518560 | 3.9930 |
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+ | 3.8299 | 1.03 | 2594880 | 3.9920 |
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+ | 3.8288 | 2.03 | 2671200 | 3.9912 |
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+ | 3.8308 | 0.03 | 2747520 | 3.9904 |
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+ | 3.8331 | 1.03 | 2823840 | 3.9899 |
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+ | 3.8355 | 0.03 | 2900160 | 3.9894 |
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+ | 3.8364 | 0.03 | 2976480 | 3.9891 |
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+ | 3.8311 | 0.02 | 3052726 | 3.9886 |
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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