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det-adj-noun-lstm-1

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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-1
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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-1
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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: 3.9727
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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: 1
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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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+ | 4.7832 | 0.03 | 76320 | 4.7597 |
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+ | 4.4992 | 1.03 | 152640 | 4.4788 |
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+ | 4.3571 | 0.03 | 228960 | 4.3438 |
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+ | 4.272 | 1.03 | 305280 | 4.2605 |
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+ | 4.2094 | 0.03 | 381600 | 4.2038 |
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+ | 4.1669 | 1.03 | 457920 | 4.1628 |
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+ | 4.1303 | 0.03 | 534240 | 4.1326 |
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+ | 4.0933 | 1.03 | 610560 | 4.1074 |
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+ | 4.0657 | 0.03 | 686880 | 4.0887 |
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+ | 4.0392 | 1.03 | 763200 | 4.0723 |
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+ | 4.0198 | 0.03 | 839520 | 4.0596 |
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+ | 4.0043 | 1.03 | 915840 | 4.0480 |
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+ | 3.9927 | 0.03 | 992160 | 4.0387 |
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+ | 3.9725 | 1.03 | 1068480 | 4.0308 |
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+ | 3.9583 | 0.03 | 1144800 | 4.0238 |
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+ | 3.9411 | 1.03 | 1221120 | 4.0183 |
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+ | 3.9254 | 0.03 | 1297440 | 4.0133 |
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+ | 3.9197 | 1.03 | 1373760 | 4.0086 |
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+ | 3.9094 | 0.03 | 1450080 | 4.0041 |
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+ | 3.9077 | 1.03 | 1526400 | 4.0009 |
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+ | 3.9019 | 0.03 | 1602720 | 3.9976 |
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+ | 3.9002 | 1.03 | 1679040 | 3.9948 |
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+ | 3.899 | 0.03 | 1755360 | 3.9922 |
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+ | 3.8897 | 1.03 | 1831680 | 3.9904 |
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+ | 3.8814 | 0.03 | 1908000 | 3.9883 |
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+ | 3.8736 | 1.03 | 1984320 | 3.9864 |
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+ | 3.8683 | 0.03 | 2060640 | 3.9846 |
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+ | 3.8652 | 1.03 | 2136960 | 3.9830 |
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+ | 3.8635 | 0.03 | 2213280 | 3.9815 |
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+ | 3.8543 | 1.03 | 2289600 | 3.9798 |
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+ | 3.8502 | 0.03 | 2365920 | 3.9782 |
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+ | 3.8411 | 1.03 | 2442240 | 3.9775 |
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+ | 3.8327 | 0.03 | 2518560 | 3.9765 |
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+ | 3.8332 | 1.03 | 2594880 | 3.9755 |
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+ | 3.8276 | 0.03 | 2671200 | 3.9749 |
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+ | 3.8342 | 1.03 | 2747520 | 3.9743 |
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+ | 3.8353 | 0.03 | 2823840 | 3.9737 |
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+ | 3.8354 | 1.03 | 2900160 | 3.9734 |
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+ | 3.8389 | 0.03 | 2976480 | 3.9730 |
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+ | 3.835 | 1.02 | 3052726 | 3.9727 |
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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