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binding-c-command-lstm-1

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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-c-command-lstm-1
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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-c-command-lstm-1
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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: 1
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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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+ | 4.7924 | 0.03 | 76320 | 4.7590 |
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+ | 4.5076 | 1.03 | 152640 | 4.4794 |
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+ | 4.3635 | 0.03 | 228960 | 4.3457 |
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+ | 4.2825 | 1.03 | 305280 | 4.2627 |
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+ | 4.2163 | 0.03 | 381600 | 4.2058 |
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+ | 4.1714 | 1.03 | 457920 | 4.1649 |
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+ | 4.1359 | 0.03 | 534240 | 4.1339 |
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+ | 4.1036 | 1.03 | 610560 | 4.1092 |
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+ | 4.0733 | 0.03 | 686880 | 4.0896 |
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+ | 4.0483 | 1.03 | 763200 | 4.0740 |
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+ | 4.0264 | 0.03 | 839520 | 4.0605 |
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+ | 4.011 | 1.03 | 915840 | 4.0498 |
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+ | 3.9946 | 0.03 | 992160 | 4.0398 |
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+ | 3.9757 | 0.03 | 1068480 | 4.0325 |
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+ | 3.964 | 1.03 | 1144800 | 4.0262 |
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+ | 3.9564 | 0.03 | 1221120 | 4.0204 |
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+ | 3.9407 | 1.03 | 1297440 | 4.0146 |
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+ | 3.9317 | 0.03 | 1373760 | 4.0099 |
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+ | 3.9202 | 1.03 | 1450080 | 4.0062 |
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+ | 3.9207 | 0.03 | 1526400 | 4.0023 |
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+ | 3.9122 | 1.03 | 1602720 | 3.9987 |
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+ | 3.9095 | 0.03 | 1679040 | 3.9954 |
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+ | 3.9077 | 1.03 | 1755360 | 3.9931 |
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+ | 3.9027 | 0.03 | 1831680 | 3.9912 |
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+ | 3.8933 | 1.03 | 1908000 | 3.9891 |
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+ | 3.8845 | 0.03 | 1984320 | 3.9871 |
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+ | 3.8782 | 1.03 | 2060640 | 3.9853 |
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+ | 3.8748 | 0.03 | 2136960 | 3.9838 |
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+ | 3.8704 | 1.03 | 2213280 | 3.9826 |
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+ | 3.861 | 0.03 | 2289600 | 3.9810 |
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+ | 3.8563 | 1.03 | 2365920 | 3.9800 |
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+ | 3.8586 | 0.03 | 2442240 | 3.9790 |
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+ | 3.8525 | 1.03 | 2518560 | 3.9783 |
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+ | 3.8489 | 0.03 | 2594880 | 3.9772 |
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+ | 3.8414 | 0.03 | 2671200 | 3.9763 |
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+ | 3.8459 | 1.03 | 2747520 | 3.9756 |
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+ | 3.8454 | 0.03 | 2823840 | 3.9747 |
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+ | 3.8468 | 1.03 | 2900160 | 3.9741 |
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+ | 3.8482 | 0.03 | 2976480 | 3.9735 |
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+ | 3.8479 | 1.02 | 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