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binding-reconstruction-lstm-4

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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-reconstruction-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-reconstruction-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: 3.9711
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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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+ | 4.7992 | 0.03 | 76320 | 4.7644 |
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+ | 4.5125 | 1.03 | 152640 | 4.4847 |
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+ | 4.3702 | 0.03 | 228960 | 4.3492 |
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+ | 4.2826 | 1.03 | 305280 | 4.2646 |
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+ | 4.2213 | 0.03 | 381600 | 4.2080 |
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+ | 4.1709 | 1.03 | 457920 | 4.1664 |
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+ | 4.1309 | 0.03 | 534240 | 4.1344 |
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+ | 4.0996 | 1.03 | 610560 | 4.1099 |
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+ | 4.0726 | 0.03 | 686880 | 4.0901 |
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+ | 4.0467 | 0.03 | 763200 | 4.0744 |
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+ | 4.0258 | 1.03 | 839520 | 4.0606 |
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+ | 4.0085 | 0.03 | 915840 | 4.0495 |
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+ | 3.9942 | 0.03 | 992160 | 4.0401 |
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+ | 3.9738 | 1.03 | 1068480 | 4.0315 |
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+ | 3.9598 | 0.03 | 1144800 | 4.0241 |
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+ | 3.9496 | 1.03 | 1221120 | 4.0183 |
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+ | 3.9373 | 0.03 | 1297440 | 4.0131 |
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+ | 3.9283 | 1.03 | 1373760 | 4.0088 |
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+ | 3.9186 | 0.03 | 1450080 | 4.0037 |
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+ | 3.9159 | 1.03 | 1526400 | 4.0002 |
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+ | 3.9113 | 0.03 | 1602720 | 3.9975 |
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+ | 3.9049 | 1.03 | 1679040 | 3.9944 |
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+ | 3.8979 | 0.03 | 1755360 | 3.9918 |
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+ | 3.8934 | 1.03 | 1831680 | 3.9899 |
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+ | 3.8865 | 0.03 | 1908000 | 3.9874 |
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+ | 3.8783 | 1.03 | 1984320 | 3.9855 |
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+ | 3.8751 | 0.03 | 2060640 | 3.9838 |
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+ | 3.8705 | 1.03 | 2136960 | 3.9821 |
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+ | 3.865 | 0.03 | 2213280 | 3.9805 |
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+ | 3.8558 | 1.03 | 2289600 | 3.9784 |
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+ | 3.8509 | 0.03 | 2365920 | 3.9774 |
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+ | 3.8505 | 1.03 | 2442240 | 3.9761 |
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+ | 3.8449 | 0.03 | 2518560 | 3.9752 |
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+ | 3.8438 | 1.03 | 2594880 | 3.9743 |
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+ | 3.8394 | 0.03 | 2671200 | 3.9737 |
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+ | 3.8414 | 1.03 | 2747520 | 3.9730 |
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+ | 3.8425 | 0.03 | 2823840 | 3.9724 |
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+ | 3.8403 | 1.03 | 2900160 | 3.9719 |
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+ | 3.8389 | 0.03 | 2976480 | 3.9715 |
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+ | 3.8378 | 1.02 | 3052726 | 3.9711 |
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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