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binding-domain-lstm-2

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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-2
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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-2
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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: 3.9731
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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: 2
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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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+ | 4.7933 | 0.03 | 76320 | 4.7549 |
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+ | 4.5118 | 1.03 | 152640 | 4.4797 |
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+ | 4.3703 | 0.03 | 228960 | 4.3457 |
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+ | 4.2844 | 1.03 | 305280 | 4.2628 |
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+ | 4.2225 | 0.03 | 381600 | 4.2058 |
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+ | 4.1774 | 1.03 | 457920 | 4.1653 |
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+ | 4.1371 | 0.03 | 534240 | 4.1339 |
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+ | 4.1039 | 1.03 | 610560 | 4.1088 |
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+ | 4.0759 | 0.03 | 686880 | 4.0888 |
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+ | 4.0535 | 1.03 | 763200 | 4.0738 |
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+ | 4.0321 | 0.03 | 839520 | 4.0603 |
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+ | 4.0166 | 1.03 | 915840 | 4.0490 |
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+ | 4.0006 | 0.03 | 992160 | 4.0397 |
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+ | 3.9825 | 1.03 | 1068480 | 4.0312 |
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+ | 3.9698 | 0.03 | 1144800 | 4.0242 |
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+ | 3.9569 | 1.03 | 1221120 | 4.0182 |
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+ | 3.9431 | 0.03 | 1297440 | 4.0136 |
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+ | 3.9342 | 1.03 | 1373760 | 4.0092 |
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+ | 3.9276 | 0.03 | 1450080 | 4.0056 |
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+ | 3.9232 | 1.03 | 1526400 | 4.0025 |
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+ | 3.9196 | 0.03 | 1602720 | 3.9989 |
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+ | 3.9162 | 0.03 | 1679040 | 3.9960 |
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+ | 3.9099 | 1.03 | 1755360 | 3.9931 |
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+ | 3.9031 | 0.03 | 1831680 | 3.9906 |
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+ | 3.8944 | 1.03 | 1908000 | 3.9881 |
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+ | 3.8894 | 0.03 | 1984320 | 3.9859 |
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+ | 3.884 | 1.03 | 2060640 | 3.9839 |
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+ | 3.882 | 0.03 | 2136960 | 3.9828 |
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+ | 3.8767 | 0.03 | 2213280 | 3.9819 |
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+ | 3.8683 | 1.03 | 2289600 | 3.9807 |
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+ | 3.8646 | 0.03 | 2365920 | 3.9797 |
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+ | 3.8608 | 1.03 | 2442240 | 3.9788 |
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+ | 3.8515 | 0.03 | 2518560 | 3.9776 |
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+ | 3.8506 | 1.03 | 2594880 | 3.9764 |
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+ | 3.8485 | 0.03 | 2671200 | 3.9757 |
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+ | 3.8511 | 1.03 | 2747520 | 3.9748 |
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+ | 3.8518 | 0.03 | 2823840 | 3.9744 |
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+ | 3.853 | 1.03 | 2900160 | 3.9738 |
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+ | 3.8517 | 0.03 | 2976480 | 3.9734 |
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+ | 3.8503 | 1.02 | 3052726 | 3.9731 |
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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