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binding-case-lstm-4

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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-4
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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-4
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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: 3.9721
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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: 4
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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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+ | 4.7898 | 0.03 | 76320 | 4.7569 |
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+ | 4.5057 | 1.03 | 152640 | 4.4762 |
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+ | 4.3637 | 0.03 | 228960 | 4.3420 |
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+ | 4.2767 | 1.03 | 305280 | 4.2589 |
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+ | 4.215 | 0.03 | 381600 | 4.2025 |
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+ | 4.1682 | 0.03 | 457920 | 4.1610 |
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+ | 4.1327 | 1.03 | 534240 | 4.1302 |
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+ | 4.0996 | 0.03 | 610560 | 4.1067 |
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+ | 4.0729 | 1.03 | 686880 | 4.0872 |
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+ | 4.0478 | 0.03 | 763200 | 4.0712 |
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+ | 4.0291 | 0.03 | 839520 | 4.0578 |
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+ | 4.0116 | 1.03 | 915840 | 4.0474 |
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+ | 3.9934 | 0.03 | 992160 | 4.0378 |
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+ | 3.976 | 1.03 | 1068480 | 4.0298 |
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+ | 3.9673 | 0.03 | 1144800 | 4.0232 |
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+ | 3.9437 | 1.03 | 1221120 | 4.0174 |
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+ | 3.933 | 0.03 | 1297440 | 4.0125 |
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+ | 3.9239 | 1.03 | 1373760 | 4.0074 |
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+ | 3.9167 | 0.03 | 1450080 | 4.0034 |
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+ | 3.9121 | 1.03 | 1526400 | 3.9994 |
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+ | 3.9081 | 0.03 | 1602720 | 3.9955 |
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+ | 3.9053 | 1.03 | 1679040 | 3.9927 |
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+ | 3.9027 | 0.03 | 1755360 | 3.9907 |
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+ | 3.8966 | 1.03 | 1831680 | 3.9888 |
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+ | 3.8913 | 0.03 | 1908000 | 3.9873 |
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+ | 3.8831 | 0.03 | 1984320 | 3.9854 |
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+ | 3.8796 | 1.03 | 2060640 | 3.9839 |
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+ | 3.8751 | 0.03 | 2136960 | 3.9823 |
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+ | 3.8685 | 1.03 | 2213280 | 3.9810 |
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+ | 3.86 | 0.03 | 2289600 | 3.9796 |
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+ | 3.8605 | 1.03 | 2365920 | 3.9780 |
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+ | 3.8465 | 0.03 | 2442240 | 3.9771 |
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+ | 3.8422 | 1.03 | 2518560 | 3.9761 |
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+ | 3.8393 | 0.03 | 2594880 | 3.9753 |
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+ | 3.8389 | 1.03 | 2671200 | 3.9745 |
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+ | 3.841 | 0.03 | 2747520 | 3.9739 |
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+ | 3.84 | 1.03 | 2823840 | 3.9733 |
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+ | 3.8427 | 0.03 | 2900160 | 3.9728 |
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+ | 3.8443 | 1.03 | 2976480 | 3.9724 |
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+ | 3.8432 | 0.02 | 3052726 | 3.9721 |
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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