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det-adj-noun-lstm-0

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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: det-adj-noun-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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+ # det-adj-noun-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: 3.9742
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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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+ | 4.7911 | 0.03 | 76320 | 4.7676 |
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+ | 4.5068 | 1.03 | 152640 | 4.4849 |
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+ | 4.3624 | 0.03 | 228960 | 4.3482 |
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+ | 4.2756 | 1.03 | 305280 | 4.2650 |
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+ | 4.2135 | 0.03 | 381600 | 4.2077 |
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+ | 4.1691 | 1.03 | 457920 | 4.1661 |
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+ | 4.1315 | 0.03 | 534240 | 4.1344 |
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+ | 4.0983 | 1.03 | 610560 | 4.1103 |
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+ | 4.0679 | 0.03 | 686880 | 4.0905 |
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+ | 4.043 | 1.03 | 763200 | 4.0746 |
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+ | 4.02 | 0.03 | 839520 | 4.0614 |
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+ | 4.0043 | 1.03 | 915840 | 4.0508 |
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+ | 3.9927 | 0.03 | 992160 | 4.0414 |
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+ | 3.9731 | 1.03 | 1068480 | 4.0326 |
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+ | 3.9597 | 0.03 | 1144800 | 4.0265 |
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+ | 3.9406 | 1.03 | 1221120 | 4.0200 |
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+ | 3.9236 | 0.03 | 1297440 | 4.0154 |
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+ | 3.9186 | 1.03 | 1373760 | 4.0102 |
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+ | 3.9074 | 0.03 | 1450080 | 4.0053 |
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+ | 3.9064 | 1.03 | 1526400 | 4.0017 |
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+ | 3.9032 | 0.03 | 1602720 | 3.9986 |
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+ | 3.9028 | 1.03 | 1679040 | 3.9961 |
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+ | 3.9001 | 0.03 | 1755360 | 3.9938 |
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+ | 3.8915 | 1.03 | 1831680 | 3.9918 |
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+ | 3.8839 | 0.03 | 1908000 | 3.9899 |
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+ | 3.8766 | 1.03 | 1984320 | 3.9880 |
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+ | 3.8698 | 0.03 | 2060640 | 3.9862 |
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+ | 3.867 | 0.03 | 2136960 | 3.9844 |
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+ | 3.8652 | 1.03 | 2213280 | 3.9828 |
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+ | 3.8564 | 0.03 | 2289600 | 3.9814 |
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+ | 3.8518 | 1.03 | 2365920 | 3.9801 |
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+ | 3.842 | 0.03 | 2442240 | 3.9789 |
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+ | 3.8345 | 1.03 | 2518560 | 3.9784 |
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+ | 3.8365 | 0.03 | 2594880 | 3.9775 |
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+ | 3.8313 | 1.03 | 2671200 | 3.9767 |
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+ | 3.8361 | 0.03 | 2747520 | 3.9759 |
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+ | 3.8364 | 1.03 | 2823840 | 3.9753 |
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+ | 3.8405 | 0.03 | 2900160 | 3.9749 |
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+ | 3.8403 | 1.03 | 2976480 | 3.9745 |
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+ | 3.8372 | 0.02 | 3052726 | 3.9742 |
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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