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old-full-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: full-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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+ # full-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: 3.9704
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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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+ | 4.8004 | 0.03 | 76319 | 4.7641 |
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+ | 4.5121 | 0.03 | 152638 | 4.4806 |
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+ | 4.3684 | 1.03 | 228957 | 4.3448 |
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+ | 4.2765 | 0.03 | 305276 | 4.2616 |
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+ | 4.2121 | 1.03 | 381595 | 4.2050 |
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+ | 4.1608 | 0.03 | 457914 | 4.1635 |
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+ | 4.1255 | 1.03 | 534233 | 4.1324 |
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+ | 4.0959 | 0.03 | 610552 | 4.1078 |
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+ | 4.0666 | 0.03 | 686871 | 4.0883 |
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+ | 4.0436 | 1.03 | 763190 | 4.0722 |
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+ | 4.0239 | 0.03 | 839509 | 4.0580 |
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+ | 4.0089 | 1.03 | 915828 | 4.0473 |
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+ | 3.9888 | 0.03 | 992148 | 4.0371 |
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+ | 3.9758 | 1.03 | 1068468 | 4.0294 |
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+ | 3.9699 | 0.03 | 1144788 | 4.0218 |
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+ | 3.9587 | 1.03 | 1221108 | 4.0161 |
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+ | 3.9389 | 0.03 | 1297428 | 4.0109 |
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+ | 3.931 | 1.03 | 1373748 | 4.0059 |
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+ | 3.9193 | 0.03 | 1450068 | 4.0013 |
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+ | 3.9126 | 1.03 | 1526388 | 3.9978 |
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+ | 3.9121 | 0.03 | 1602708 | 3.9949 |
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+ | 3.9067 | 1.03 | 1679028 | 3.9922 |
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+ | 3.9079 | 0.03 | 1755348 | 3.9896 |
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+ | 3.904 | 1.03 | 1831668 | 3.9874 |
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+ | 3.897 | 0.03 | 1907988 | 3.9856 |
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+ | 3.8901 | 1.03 | 1984308 | 3.9840 |
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+ | 3.8877 | 0.03 | 2060628 | 3.9821 |
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+ | 3.8779 | 1.03 | 2136948 | 3.9806 |
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+ | 3.8775 | 0.03 | 2213268 | 3.9794 |
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+ | 3.8691 | 0.03 | 2289588 | 3.9782 |
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+ | 3.8627 | 0.03 | 2365908 | 3.9771 |
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+ | 3.8616 | 1.03 | 2442228 | 3.9761 |
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+ | 3.8491 | 0.03 | 2518548 | 3.9749 |
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+ | 3.848 | 1.03 | 2594868 | 3.9738 |
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+ | 3.8413 | 0.03 | 2671188 | 3.9730 |
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+ | 3.842 | 1.03 | 2747508 | 3.9721 |
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+ | 3.8472 | 0.03 | 2823828 | 3.9715 |
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+ | 3.8438 | 1.03 | 2900148 | 3.9710 |
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+ | 3.85 | 0.03 | 2976468 | 3.9706 |
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+ | 3.8505 | 0.02 | 3052726 | 3.9704 |
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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