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binding-c-command-lstm-3

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PyTorch
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-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-c-command-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: 3.9746
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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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+ | 4.8032 | 0.03 | 76320 | 4.7698 |
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+ | 4.5152 | 1.03 | 152640 | 4.4864 |
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+ | 4.3711 | 0.03 | 228960 | 4.3506 |
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+ | 4.2892 | 1.03 | 305280 | 4.2674 |
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+ | 4.222 | 0.03 | 381600 | 4.2102 |
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+ | 4.1767 | 1.03 | 457920 | 4.1684 |
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+ | 4.1404 | 0.03 | 534240 | 4.1373 |
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+ | 4.1085 | 1.03 | 610560 | 4.1126 |
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+ | 4.0784 | 0.03 | 686880 | 4.0927 |
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+ | 4.052 | 1.03 | 763200 | 4.0761 |
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+ | 4.0277 | 0.03 | 839520 | 4.0630 |
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+ | 4.0102 | 1.03 | 915840 | 4.0519 |
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+ | 3.9951 | 0.03 | 992160 | 4.0420 |
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+ | 3.9752 | 1.03 | 1068480 | 4.0341 |
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+ | 3.9617 | 0.03 | 1144800 | 4.0268 |
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+ | 3.9572 | 1.03 | 1221120 | 4.0204 |
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+ | 3.9423 | 0.03 | 1297440 | 4.0155 |
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+ | 3.9321 | 1.03 | 1373760 | 4.0107 |
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+ | 3.9208 | 0.03 | 1450080 | 4.0065 |
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+ | 3.9209 | 1.03 | 1526400 | 4.0030 |
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+ | 3.9142 | 0.03 | 1602720 | 3.9997 |
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+ | 3.9104 | 1.03 | 1679040 | 3.9965 |
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+ | 3.9085 | 0.03 | 1755360 | 3.9946 |
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+ | 3.9023 | 1.03 | 1831680 | 3.9916 |
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+ | 3.8941 | 0.03 | 1908000 | 3.9899 |
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+ | 3.8856 | 1.03 | 1984320 | 3.9882 |
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+ | 3.8781 | 0.03 | 2060640 | 3.9864 |
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+ | 3.8763 | 1.03 | 2136960 | 3.9849 |
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+ | 3.872 | 0.03 | 2213280 | 3.9832 |
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+ | 3.8641 | 1.03 | 2289600 | 3.9818 |
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+ | 3.8562 | 0.03 | 2365920 | 3.9809 |
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+ | 3.8585 | 1.03 | 2442240 | 3.9800 |
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+ | 3.8521 | 0.03 | 2518560 | 3.9788 |
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+ | 3.8498 | 1.03 | 2594880 | 3.9778 |
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+ | 3.8436 | 0.03 | 2671200 | 3.9773 |
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+ | 3.8497 | 1.03 | 2747520 | 3.9765 |
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+ | 3.8471 | 0.03 | 2823840 | 3.9759 |
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+ | 3.8485 | 0.03 | 2900160 | 3.9753 |
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+ | 3.8521 | 0.03 | 2976480 | 3.9750 |
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+ | 3.8498 | 1.02 | 3052726 | 3.9746 |
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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