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binding-case-lstm-3

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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-3
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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-3
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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: 3.9748
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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: 3
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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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+ | 4.793 | 0.03 | 76320 | 4.7610 |
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+ | 4.5078 | 1.03 | 152640 | 4.4815 |
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+ | 4.3662 | 0.03 | 228960 | 4.3454 |
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+ | 4.2772 | 1.03 | 305280 | 4.2625 |
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+ | 4.2165 | 0.03 | 381600 | 4.2062 |
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+ | 4.1704 | 0.03 | 457920 | 4.1645 |
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+ | 4.1336 | 1.03 | 534240 | 4.1334 |
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+ | 4.0998 | 0.03 | 610560 | 4.1087 |
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+ | 4.0754 | 0.03 | 686880 | 4.0897 |
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+ | 4.0505 | 1.03 | 763200 | 4.0733 |
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+ | 4.0282 | 0.03 | 839520 | 4.0602 |
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+ | 4.0115 | 1.03 | 915840 | 4.0487 |
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+ | 3.9943 | 0.03 | 992160 | 4.0396 |
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+ | 3.9766 | 1.03 | 1068480 | 4.0313 |
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+ | 3.9675 | 0.03 | 1144800 | 4.0246 |
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+ | 3.9447 | 1.03 | 1221120 | 4.0192 |
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+ | 3.9354 | 0.03 | 1297440 | 4.0142 |
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+ | 3.9278 | 1.03 | 1373760 | 4.0092 |
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+ | 3.918 | 0.03 | 1450080 | 4.0055 |
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+ | 3.9146 | 1.03 | 1526400 | 4.0013 |
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+ | 3.9107 | 0.03 | 1602720 | 3.9987 |
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+ | 3.9089 | 1.03 | 1679040 | 3.9956 |
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+ | 3.9035 | 0.03 | 1755360 | 3.9926 |
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+ | 3.898 | 1.03 | 1831680 | 3.9903 |
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+ | 3.8927 | 0.03 | 1908000 | 3.9885 |
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+ | 3.8853 | 1.03 | 1984320 | 3.9868 |
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+ | 3.8795 | 0.03 | 2060640 | 3.9850 |
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+ | 3.876 | 0.03 | 2136960 | 3.9838 |
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+ | 3.871 | 1.03 | 2213280 | 3.9824 |
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+ | 3.8615 | 0.03 | 2289600 | 3.9814 |
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+ | 3.8613 | 1.03 | 2365920 | 3.9803 |
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+ | 3.8485 | 0.03 | 2442240 | 3.9792 |
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+ | 3.8443 | 1.03 | 2518560 | 3.9786 |
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+ | 3.8438 | 0.03 | 2594880 | 3.9778 |
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+ | 3.8407 | 0.03 | 2671200 | 3.9770 |
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+ | 3.842 | 1.03 | 2747520 | 3.9764 |
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+ | 3.8433 | 0.03 | 2823840 | 3.9758 |
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+ | 3.8447 | 0.03 | 2900160 | 3.9755 |
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+ | 3.8456 | 0.03 | 2976480 | 3.9751 |
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+ | 3.8445 | 0.02 | 3052726 | 3.9748 |
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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