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binding-c-command-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-c-command-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-c-command-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: 3.9699
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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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+ | 4.7849 | 0.03 | 76320 | 4.7520 |
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+ | 4.4971 | 1.03 | 152640 | 4.4703 |
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+ | 4.3536 | 0.03 | 228960 | 4.3355 |
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+ | 4.2709 | 1.03 | 305280 | 4.2524 |
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+ | 4.206 | 0.03 | 381600 | 4.1975 |
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+ | 4.1616 | 1.03 | 457920 | 4.1573 |
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+ | 4.1284 | 0.03 | 534240 | 4.1268 |
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+ | 4.0967 | 1.03 | 610560 | 4.1031 |
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+ | 4.0659 | 0.03 | 686880 | 4.0840 |
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+ | 4.0401 | 1.03 | 763200 | 4.0679 |
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+ | 4.0167 | 0.03 | 839520 | 4.0552 |
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+ | 4.0005 | 1.03 | 915840 | 4.0439 |
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+ | 3.9844 | 0.03 | 992160 | 4.0350 |
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+ | 3.9656 | 1.03 | 1068480 | 4.0262 |
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+ | 3.9508 | 0.03 | 1144800 | 4.0199 |
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+ | 3.9442 | 1.03 | 1221120 | 4.0137 |
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+ | 3.9318 | 0.03 | 1297440 | 4.0092 |
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+ | 3.9226 | 1.03 | 1373760 | 4.0047 |
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+ | 3.9116 | 0.03 | 1450080 | 4.0008 |
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+ | 3.91 | 0.03 | 1526400 | 3.9970 |
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+ | 3.9028 | 1.03 | 1602720 | 3.9944 |
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+ | 3.8998 | 0.03 | 1679040 | 3.9919 |
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+ | 3.8979 | 1.03 | 1755360 | 3.9885 |
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+ | 3.893 | 0.03 | 1831680 | 3.9866 |
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+ | 3.8854 | 1.03 | 1908000 | 3.9844 |
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+ | 3.8768 | 0.03 | 1984320 | 3.9829 |
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+ | 3.8695 | 1.03 | 2060640 | 3.9813 |
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+ | 3.8658 | 0.03 | 2136960 | 3.9796 |
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+ | 3.8615 | 1.03 | 2213280 | 3.9785 |
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+ | 3.8517 | 0.03 | 2289600 | 3.9774 |
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+ | 3.8459 | 1.03 | 2365920 | 3.9757 |
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+ | 3.8477 | 0.03 | 2442240 | 3.9747 |
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+ | 3.8416 | 1.03 | 2518560 | 3.9740 |
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+ | 3.8388 | 0.03 | 2594880 | 3.9732 |
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+ | 3.8335 | 1.03 | 2671200 | 3.9725 |
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+ | 3.8381 | 0.03 | 2747520 | 3.9716 |
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+ | 3.8357 | 1.03 | 2823840 | 3.9712 |
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+ | 3.8372 | 0.03 | 2900160 | 3.9706 |
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+ | 3.8402 | 0.03 | 2976480 | 3.9704 |
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+ | 3.841 | 1.02 | 3052726 | 3.9699 |
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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