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binding-domain-lstm-3

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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-domain-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-domain-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: 3.9699
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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: 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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+ | 4.7862 | 0.03 | 76320 | 4.7490 |
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+ | 4.5033 | 1.03 | 152640 | 4.4718 |
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+ | 4.3621 | 0.03 | 228960 | 4.3375 |
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+ | 4.2771 | 1.03 | 305280 | 4.2549 |
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+ | 4.2156 | 0.03 | 381600 | 4.1983 |
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+ | 4.1699 | 1.03 | 457920 | 4.1582 |
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+ | 4.1302 | 0.03 | 534240 | 4.1273 |
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+ | 4.0971 | 1.03 | 610560 | 4.1029 |
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+ | 4.0699 | 0.03 | 686880 | 4.0839 |
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+ | 4.0479 | 1.03 | 763200 | 4.0686 |
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+ | 4.0271 | 0.03 | 839520 | 4.0558 |
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+ | 4.011 | 0.03 | 915840 | 4.0446 |
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+ | 3.9945 | 1.03 | 992160 | 4.0362 |
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+ | 3.9758 | 0.03 | 1068480 | 4.0277 |
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+ | 3.965 | 1.03 | 1144800 | 4.0209 |
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+ | 3.9495 | 0.03 | 1221120 | 4.0152 |
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+ | 3.9368 | 1.03 | 1297440 | 4.0103 |
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+ | 3.9259 | 0.03 | 1373760 | 4.0055 |
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+ | 3.9195 | 1.03 | 1450080 | 4.0012 |
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+ | 3.9172 | 0.03 | 1526400 | 3.9978 |
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+ | 3.9128 | 1.03 | 1602720 | 3.9946 |
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+ | 3.9092 | 0.03 | 1679040 | 3.9919 |
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+ | 3.9022 | 1.03 | 1755360 | 3.9895 |
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+ | 3.8968 | 0.03 | 1831680 | 3.9873 |
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+ | 3.8901 | 1.03 | 1908000 | 3.9852 |
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+ | 3.8836 | 0.03 | 1984320 | 3.9835 |
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+ | 3.8778 | 1.03 | 2060640 | 3.9819 |
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+ | 3.876 | 0.03 | 2136960 | 3.9803 |
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+ | 3.8693 | 1.03 | 2213280 | 3.9786 |
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+ | 3.8607 | 0.03 | 2289600 | 3.9772 |
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+ | 3.8579 | 1.03 | 2365920 | 3.9760 |
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+ | 3.8521 | 0.03 | 2442240 | 3.9750 |
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+ | 3.8445 | 1.03 | 2518560 | 3.9739 |
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+ | 3.8406 | 0.03 | 2594880 | 3.9733 |
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+ | 3.8394 | 1.03 | 2671200 | 3.9727 |
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+ | 3.8421 | 0.03 | 2747520 | 3.9718 |
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+ | 3.8447 | 1.03 | 2823840 | 3.9712 |
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+ | 3.8463 | 0.03 | 2900160 | 3.9707 |
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+ | 3.8447 | 1.03 | 2976480 | 3.9702 |
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+ | 3.8428 | 0.02 | 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