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binding-case-lstm-2

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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-2
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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-2
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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: 3.9732
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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: 2
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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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+ | 4.7896 | 0.03 | 76320 | 4.7570 |
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+ | 4.5056 | 1.03 | 152640 | 4.4776 |
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+ | 4.3639 | 0.03 | 228960 | 4.3428 |
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+ | 4.2748 | 1.03 | 305280 | 4.2598 |
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+ | 4.2152 | 0.03 | 381600 | 4.2038 |
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+ | 4.1683 | 0.03 | 457920 | 4.1630 |
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+ | 4.1315 | 1.03 | 534240 | 4.1321 |
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+ | 4.0972 | 0.03 | 610560 | 4.1075 |
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+ | 4.071 | 0.03 | 686880 | 4.0878 |
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+ | 4.0465 | 1.03 | 763200 | 4.0719 |
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+ | 4.0256 | 0.03 | 839520 | 4.0583 |
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+ | 4.0112 | 1.03 | 915840 | 4.0480 |
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+ | 3.9916 | 0.03 | 992160 | 4.0378 |
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+ | 3.9742 | 1.03 | 1068480 | 4.0300 |
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+ | 3.9673 | 0.03 | 1144800 | 4.0234 |
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+ | 3.9429 | 1.03 | 1221120 | 4.0180 |
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+ | 3.9312 | 0.03 | 1297440 | 4.0124 |
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+ | 3.9237 | 1.03 | 1373760 | 4.0079 |
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+ | 3.9162 | 0.03 | 1450080 | 4.0047 |
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+ | 3.9118 | 1.03 | 1526400 | 4.0011 |
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+ | 3.9087 | 0.03 | 1602720 | 3.9978 |
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+ | 3.9046 | 1.03 | 1679040 | 3.9952 |
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+ | 3.8998 | 0.03 | 1755360 | 3.9928 |
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+ | 3.8938 | 1.03 | 1831680 | 3.9903 |
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+ | 3.8883 | 0.03 | 1908000 | 3.9883 |
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+ | 3.8836 | 1.03 | 1984320 | 3.9859 |
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+ | 3.8759 | 0.03 | 2060640 | 3.9840 |
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+ | 3.8724 | 1.03 | 2136960 | 3.9824 |
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+ | 3.8654 | 0.03 | 2213280 | 3.9808 |
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+ | 3.8605 | 1.03 | 2289600 | 3.9793 |
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+ | 3.8586 | 0.03 | 2365920 | 3.9784 |
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+ | 3.8453 | 1.03 | 2442240 | 3.9775 |
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+ | 3.8408 | 0.03 | 2518560 | 3.9766 |
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+ | 3.8392 | 1.03 | 2594880 | 3.9762 |
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+ | 3.8369 | 0.03 | 2671200 | 3.9754 |
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+ | 3.8385 | 1.03 | 2747520 | 3.9749 |
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+ | 3.8411 | 0.03 | 2823840 | 3.9744 |
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+ | 3.84 | 0.03 | 2900160 | 3.9740 |
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+ | 3.8412 | 1.03 | 2976480 | 3.9735 |
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+ | 3.842 | 0.02 | 3052726 | 3.9732 |
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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