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det-noun-lstm-3

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PyTorch
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-noun-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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+ # det-noun-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: 3.9674
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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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+ | 4.7819 | 0.03 | 76320 | 4.7449 |
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+ | 4.4958 | 1.03 | 152640 | 4.4655 |
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+ | 4.3518 | 0.03 | 228960 | 4.3313 |
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+ | 4.2646 | 0.03 | 305280 | 4.2495 |
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+ | 4.2051 | 1.03 | 381600 | 4.1935 |
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+ | 4.1582 | 0.03 | 457920 | 4.1528 |
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+ | 4.1191 | 1.03 | 534240 | 4.1216 |
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+ | 4.0845 | 0.03 | 610560 | 4.0979 |
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+ | 4.0555 | 1.03 | 686880 | 4.0782 |
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+ | 4.0303 | 0.03 | 763200 | 4.0623 |
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+ | 4.0098 | 1.03 | 839520 | 4.0498 |
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+ | 3.9926 | 0.03 | 915840 | 4.0389 |
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+ | 3.9779 | 0.03 | 992160 | 4.0301 |
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+ | 3.9569 | 0.03 | 1068480 | 4.0224 |
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+ | 3.9473 | 1.03 | 1144800 | 4.0156 |
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+ | 3.9428 | 0.03 | 1221120 | 4.0101 |
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+ | 3.9302 | 1.03 | 1297440 | 4.0054 |
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+ | 3.9204 | 0.03 | 1373760 | 4.0012 |
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+ | 3.9088 | 1.03 | 1450080 | 3.9972 |
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+ | 3.9046 | 0.03 | 1526400 | 3.9938 |
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+ | 3.9033 | 1.03 | 1602720 | 3.9913 |
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+ | 3.8973 | 0.03 | 1679040 | 3.9880 |
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+ | 3.8911 | 0.03 | 1755360 | 3.9859 |
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+ | 3.8831 | 1.03 | 1831680 | 3.9839 |
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+ | 3.8761 | 0.03 | 1908000 | 3.9819 |
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+ | 3.8693 | 0.03 | 1984320 | 3.9800 |
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+ | 3.8642 | 0.03 | 2060640 | 3.9783 |
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+ | 3.8582 | 0.03 | 2136960 | 3.9762 |
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+ | 3.8532 | 1.03 | 2213280 | 3.9749 |
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+ | 3.8436 | 0.03 | 2289600 | 3.9733 |
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+ | 3.8406 | 1.03 | 2365920 | 3.9727 |
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+ | 3.8455 | 0.03 | 2442240 | 3.9717 |
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+ | 3.8404 | 0.03 | 2518560 | 3.9710 |
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+ | 3.8376 | 1.03 | 2594880 | 3.9702 |
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+ | 3.8293 | 0.03 | 2671200 | 3.9697 |
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+ | 3.8323 | 1.03 | 2747520 | 3.9689 |
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+ | 3.8336 | 0.03 | 2823840 | 3.9686 |
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+ | 3.8347 | 1.03 | 2900160 | 3.9681 |
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+ | 3.8328 | 0.03 | 2976480 | 3.9678 |
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+ | 3.8301 | 1.02 | 3052726 | 3.9674 |
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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