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binding-domain-lstm-0

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rnn
Generated from Trainer
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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-domain-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-domain-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: 3.9735
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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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+ | 4.7977 | 0.03 | 76320 | 4.7615 |
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+ | 4.5122 | 1.03 | 152640 | 4.4804 |
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+ | 4.3702 | 0.03 | 228960 | 4.3456 |
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+ | 4.2828 | 1.03 | 305280 | 4.2622 |
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+ | 4.2219 | 0.03 | 381600 | 4.2056 |
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+ | 4.1741 | 1.03 | 457920 | 4.1638 |
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+ | 4.1361 | 0.03 | 534240 | 4.1324 |
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+ | 4.1019 | 1.03 | 610560 | 4.1074 |
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+ | 4.0734 | 0.03 | 686880 | 4.0879 |
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+ | 4.0511 | 1.03 | 763200 | 4.0719 |
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+ | 4.0305 | 0.03 | 839520 | 4.0593 |
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+ | 4.0145 | 1.03 | 915840 | 4.0479 |
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+ | 3.9977 | 0.03 | 992160 | 4.0387 |
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+ | 3.9796 | 1.03 | 1068480 | 4.0308 |
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+ | 3.9665 | 0.03 | 1144800 | 4.0227 |
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+ | 3.953 | 1.03 | 1221120 | 4.0167 |
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+ | 3.9407 | 0.03 | 1297440 | 4.0120 |
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+ | 3.9301 | 1.03 | 1373760 | 4.0081 |
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+ | 3.9233 | 0.03 | 1450080 | 4.0040 |
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+ | 3.919 | 1.03 | 1526400 | 4.0004 |
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+ | 3.9145 | 0.03 | 1602720 | 3.9975 |
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+ | 3.9119 | 1.03 | 1679040 | 3.9947 |
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+ | 3.9048 | 0.03 | 1755360 | 3.9919 |
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+ | 3.8974 | 1.03 | 1831680 | 3.9893 |
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+ | 3.8909 | 0.03 | 1908000 | 3.9872 |
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+ | 3.8852 | 1.03 | 1984320 | 3.9859 |
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+ | 3.8798 | 0.03 | 2060640 | 3.9846 |
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+ | 3.8767 | 1.03 | 2136960 | 3.9831 |
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+ | 3.8729 | 0.03 | 2213280 | 3.9818 |
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+ | 3.8653 | 1.03 | 2289600 | 3.9808 |
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+ | 3.86 | 0.03 | 2365920 | 3.9796 |
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+ | 3.8572 | 1.03 | 2442240 | 3.9786 |
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+ | 3.8499 | 0.03 | 2518560 | 3.9776 |
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+ | 3.8451 | 1.03 | 2594880 | 3.9767 |
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+ | 3.8444 | 0.03 | 2671200 | 3.9761 |
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+ | 3.8457 | 1.03 | 2747520 | 3.9753 |
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+ | 3.8482 | 0.03 | 2823840 | 3.9746 |
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+ | 3.848 | 1.03 | 2900160 | 3.9742 |
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+ | 3.8472 | 0.03 | 2976480 | 3.9737 |
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+ | 3.8448 | 1.02 | 3052726 | 3.9735 |
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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