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binding-reconstruction-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: binding-reconstruction-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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+ # binding-reconstruction-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: 3.9730
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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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+ | 4.7982 | 0.03 | 76320 | 4.7650 |
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+ | 4.5117 | 1.03 | 152640 | 4.4852 |
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+ | 4.3687 | 0.03 | 228960 | 4.3483 |
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+ | 4.2838 | 1.03 | 305280 | 4.2645 |
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+ | 4.2211 | 0.03 | 381600 | 4.2075 |
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+ | 4.1724 | 1.03 | 457920 | 4.1661 |
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+ | 4.1329 | 0.03 | 534240 | 4.1344 |
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+ | 4.1002 | 1.03 | 610560 | 4.1092 |
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+ | 4.0739 | 0.03 | 686880 | 4.0898 |
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+ | 4.0484 | 0.03 | 763200 | 4.0746 |
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+ | 4.0281 | 1.03 | 839520 | 4.0612 |
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+ | 4.0098 | 0.03 | 915840 | 4.0503 |
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+ | 3.9947 | 1.03 | 992160 | 4.0405 |
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+ | 3.9758 | 0.03 | 1068480 | 4.0329 |
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+ | 3.9599 | 1.03 | 1144800 | 4.0261 |
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+ | 3.9509 | 0.03 | 1221120 | 4.0192 |
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+ | 3.9398 | 1.03 | 1297440 | 4.0141 |
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+ | 3.9313 | 0.03 | 1373760 | 4.0098 |
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+ | 3.923 | 1.03 | 1450080 | 4.0061 |
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+ | 3.9183 | 0.03 | 1526400 | 4.0024 |
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+ | 3.9141 | 1.03 | 1602720 | 3.9991 |
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+ | 3.9069 | 0.03 | 1679040 | 3.9961 |
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+ | 3.901 | 0.03 | 1755360 | 3.9935 |
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+ | 3.895 | 1.03 | 1831680 | 3.9914 |
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+ | 3.8884 | 0.03 | 1908000 | 3.9896 |
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+ | 3.8818 | 1.03 | 1984320 | 3.9873 |
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+ | 3.8757 | 0.03 | 2060640 | 3.9858 |
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+ | 3.8717 | 1.03 | 2136960 | 3.9841 |
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+ | 3.8669 | 0.03 | 2213280 | 3.9826 |
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+ | 3.8583 | 1.03 | 2289600 | 3.9809 |
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+ | 3.854 | 0.03 | 2365920 | 3.9793 |
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+ | 3.854 | 1.03 | 2442240 | 3.9781 |
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+ | 3.8487 | 0.03 | 2518560 | 3.9769 |
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+ | 3.8465 | 1.03 | 2594880 | 3.9763 |
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+ | 3.8418 | 0.03 | 2671200 | 3.9754 |
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+ | 3.8461 | 1.03 | 2747520 | 3.9748 |
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+ | 3.845 | 0.03 | 2823840 | 3.9742 |
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+ | 3.8429 | 1.03 | 2900160 | 3.9737 |
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+ | 3.843 | 0.03 | 2976480 | 3.9733 |
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+ | 3.8403 | 0.02 | 3052726 | 3.9730 |
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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