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det-noun-lstm-4

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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-noun-lstm-4
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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-4
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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: 3.9719
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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: 4
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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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+ | 4.8017 | 0.03 | 76320 | 4.7666 |
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+ | 4.5163 | 1.03 | 152640 | 4.4850 |
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+ | 4.3691 | 0.03 | 228960 | 4.3481 |
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+ | 4.2822 | 1.03 | 305280 | 4.2648 |
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+ | 4.2214 | 0.03 | 381600 | 4.2067 |
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+ | 4.1738 | 1.03 | 457920 | 4.1648 |
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+ | 4.1346 | 0.03 | 534240 | 4.1335 |
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+ | 4.0994 | 1.03 | 610560 | 4.1086 |
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+ | 4.0717 | 0.03 | 686880 | 4.0880 |
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+ | 4.0442 | 1.03 | 763200 | 4.0724 |
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+ | 4.0257 | 0.03 | 839520 | 4.0599 |
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+ | 4.0076 | 1.03 | 915840 | 4.0482 |
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+ | 3.9916 | 0.03 | 992160 | 4.0389 |
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+ | 3.9715 | 0.03 | 1068480 | 4.0308 |
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+ | 3.96 | 1.03 | 1144800 | 4.0236 |
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+ | 3.9543 | 0.03 | 1221120 | 4.0178 |
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+ | 3.942 | 1.03 | 1297440 | 4.0123 |
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+ | 3.9331 | 0.03 | 1373760 | 4.0075 |
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+ | 3.9207 | 1.03 | 1450080 | 4.0036 |
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+ | 3.9177 | 0.03 | 1526400 | 4.0000 |
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+ | 3.9148 | 1.03 | 1602720 | 3.9964 |
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+ | 3.9113 | 0.03 | 1679040 | 3.9938 |
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+ | 3.9051 | 1.03 | 1755360 | 3.9917 |
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+ | 3.8958 | 0.03 | 1831680 | 3.9896 |
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+ | 3.888 | 1.03 | 1908000 | 3.9873 |
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+ | 3.8823 | 0.03 | 1984320 | 3.9855 |
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+ | 3.8771 | 0.03 | 2060640 | 3.9836 |
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+ | 3.871 | 1.03 | 2136960 | 3.9821 |
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+ | 3.8663 | 0.03 | 2213280 | 3.9807 |
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+ | 3.8558 | 1.03 | 2289600 | 3.9791 |
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+ | 3.853 | 0.03 | 2365920 | 3.9776 |
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+ | 3.8596 | 1.03 | 2442240 | 3.9766 |
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+ | 3.8526 | 0.03 | 2518560 | 3.9758 |
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+ | 3.8496 | 1.03 | 2594880 | 3.9751 |
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+ | 3.8438 | 0.03 | 2671200 | 3.9745 |
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+ | 3.8452 | 1.03 | 2747520 | 3.9738 |
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+ | 3.8491 | 0.03 | 2823840 | 3.9733 |
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+ | 3.8485 | 1.03 | 2900160 | 3.9728 |
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+ | 3.8481 | 0.03 | 2976480 | 3.9722 |
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+ | 3.8418 | 1.02 | 3052726 | 3.9719 |
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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