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binding-case-lstm-0

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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-case-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-case-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: 3.9742
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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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+ | 4.7895 | 0.03 | 76320 | 4.7578 |
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+ | 4.5087 | 1.03 | 152640 | 4.4796 |
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+ | 4.3677 | 0.03 | 228960 | 4.3468 |
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+ | 4.2798 | 1.03 | 305280 | 4.2636 |
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+ | 4.2197 | 0.03 | 381600 | 4.2052 |
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+ | 4.1719 | 0.03 | 457920 | 4.1641 |
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+ | 4.1346 | 1.03 | 534240 | 4.1337 |
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+ | 4.1009 | 0.03 | 610560 | 4.1094 |
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+ | 4.0743 | 1.03 | 686880 | 4.0894 |
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+ | 4.0499 | 0.03 | 763200 | 4.0736 |
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+ | 4.0285 | 1.03 | 839520 | 4.0603 |
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+ | 4.0112 | 0.03 | 915840 | 4.0491 |
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+ | 3.994 | 1.03 | 992160 | 4.0402 |
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+ | 3.9762 | 0.03 | 1068480 | 4.0319 |
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+ | 3.9654 | 1.03 | 1144800 | 4.0252 |
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+ | 3.9445 | 0.03 | 1221120 | 4.0188 |
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+ | 3.9337 | 1.03 | 1297440 | 4.0141 |
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+ | 3.9269 | 0.03 | 1373760 | 4.0093 |
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+ | 3.9184 | 1.03 | 1450080 | 4.0054 |
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+ | 3.9134 | 0.03 | 1526400 | 4.0017 |
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+ | 3.91 | 1.03 | 1602720 | 3.9983 |
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+ | 3.9055 | 0.03 | 1679040 | 3.9956 |
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+ | 3.9033 | 1.03 | 1755360 | 3.9931 |
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+ | 3.8961 | 0.03 | 1831680 | 3.9913 |
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+ | 3.891 | 1.03 | 1908000 | 3.9888 |
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+ | 3.8837 | 0.03 | 1984320 | 3.9870 |
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+ | 3.8772 | 0.03 | 2060640 | 3.9851 |
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+ | 3.873 | 1.03 | 2136960 | 3.9836 |
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+ | 3.8665 | 0.03 | 2213280 | 3.9820 |
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+ | 3.8578 | 1.03 | 2289600 | 3.9808 |
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+ | 3.8589 | 0.03 | 2365920 | 3.9794 |
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+ | 3.8454 | 1.03 | 2442240 | 3.9786 |
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+ | 3.8422 | 0.03 | 2518560 | 3.9777 |
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+ | 3.8414 | 1.03 | 2594880 | 3.9772 |
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+ | 3.8385 | 0.03 | 2671200 | 3.9765 |
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+ | 3.8387 | 1.03 | 2747520 | 3.9759 |
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+ | 3.8426 | 0.03 | 2823840 | 3.9754 |
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+ | 3.8437 | 0.03 | 2900160 | 3.9748 |
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+ | 3.8446 | 0.03 | 2976480 | 3.9744 |
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+ | 3.8407 | 1.02 | 3052726 | 3.9742 |
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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