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binding-reconstruction-lstm-0

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PyTorch
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-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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+ # binding-reconstruction-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: 3.9713
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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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+ | 4.7917 | 0.03 | 76320 | 4.7594 |
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+ | 4.5052 | 1.03 | 152640 | 4.4768 |
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+ | 4.3619 | 0.03 | 228960 | 4.3418 |
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+ | 4.2784 | 1.03 | 305280 | 4.2583 |
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+ | 4.2153 | 0.03 | 381600 | 4.2016 |
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+ | 4.1661 | 1.03 | 457920 | 4.1610 |
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+ | 4.1274 | 0.03 | 534240 | 4.1302 |
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+ | 4.0963 | 1.03 | 610560 | 4.1061 |
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+ | 4.0684 | 0.03 | 686880 | 4.0865 |
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+ | 4.0431 | 0.03 | 763200 | 4.0708 |
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+ | 4.0215 | 1.03 | 839520 | 4.0574 |
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+ | 4.0052 | 0.03 | 915840 | 4.0466 |
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+ | 3.9894 | 1.03 | 992160 | 4.0375 |
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+ | 3.9699 | 0.03 | 1068480 | 4.0294 |
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+ | 3.9579 | 1.03 | 1144800 | 4.0223 |
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+ | 3.9457 | 0.03 | 1221120 | 4.0157 |
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+ | 3.9351 | 1.03 | 1297440 | 4.0102 |
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+ | 3.9247 | 0.03 | 1373760 | 4.0058 |
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+ | 3.915 | 1.03 | 1450080 | 4.0019 |
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+ | 3.9127 | 0.03 | 1526400 | 3.9982 |
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+ | 3.9078 | 1.03 | 1602720 | 3.9946 |
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+ | 3.9007 | 0.03 | 1679040 | 3.9920 |
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+ | 3.8952 | 1.03 | 1755360 | 3.9902 |
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+ | 3.8918 | 0.03 | 1831680 | 3.9876 |
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+ | 3.8848 | 1.03 | 1908000 | 3.9858 |
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+ | 3.8768 | 0.03 | 1984320 | 3.9841 |
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+ | 3.8712 | 1.03 | 2060640 | 3.9824 |
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+ | 3.8673 | 0.03 | 2136960 | 3.9810 |
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+ | 3.8644 | 1.03 | 2213280 | 3.9792 |
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+ | 3.8548 | 0.03 | 2289600 | 3.9779 |
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+ | 3.851 | 1.03 | 2365920 | 3.9768 |
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+ | 3.8478 | 0.03 | 2442240 | 3.9759 |
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+ | 3.8441 | 1.03 | 2518560 | 3.9752 |
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+ | 3.8411 | 0.03 | 2594880 | 3.9744 |
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+ | 3.8374 | 1.03 | 2671200 | 3.9737 |
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+ | 3.8405 | 0.03 | 2747520 | 3.9732 |
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+ | 3.8411 | 1.03 | 2823840 | 3.9727 |
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+ | 3.8386 | 0.03 | 2900160 | 3.9721 |
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+ | 3.8389 | 1.03 | 2976480 | 3.9716 |
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+ | 3.8384 | 0.02 | 3052726 | 3.9713 |
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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