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old-full-lstm-0

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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-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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+ # full-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: 3.9694
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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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+ | 4.8015 | 0.03 | 76319 | 4.7666 |
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+ | 4.5084 | 1.03 | 152638 | 4.4785 |
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+ | 4.3627 | 0.03 | 228957 | 4.3422 |
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+ | 4.2719 | 1.03 | 305276 | 4.2587 |
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+ | 4.207 | 0.03 | 381595 | 4.2008 |
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+ | 4.157 | 1.03 | 457914 | 4.1598 |
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+ | 4.1211 | 0.03 | 534233 | 4.1288 |
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+ | 4.0934 | 0.03 | 610552 | 4.1043 |
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+ | 4.0625 | 1.03 | 686871 | 4.0851 |
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+ | 4.0403 | 0.03 | 763190 | 4.0690 |
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+ | 4.0192 | 0.03 | 839509 | 4.0562 |
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+ | 4.0046 | 0.03 | 915828 | 4.0454 |
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+ | 3.9833 | 0.03 | 992148 | 4.0356 |
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+ | 3.9707 | 1.03 | 1068468 | 4.0273 |
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+ | 3.9639 | 0.03 | 1144788 | 4.0195 |
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+ | 3.9539 | 1.03 | 1221108 | 4.0139 |
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+ | 3.9372 | 0.03 | 1297428 | 4.0088 |
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+ | 3.9294 | 1.03 | 1373748 | 4.0042 |
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+ | 3.9158 | 0.03 | 1450068 | 4.0000 |
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+ | 3.9084 | 1.03 | 1526388 | 3.9959 |
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+ | 3.9068 | 0.03 | 1602708 | 3.9934 |
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+ | 3.9023 | 0.03 | 1679028 | 3.9910 |
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+ | 3.9014 | 0.03 | 1755348 | 3.9886 |
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+ | 3.8972 | 1.03 | 1831668 | 3.9863 |
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+ | 3.8877 | 0.03 | 1907988 | 3.9832 |
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+ | 3.8826 | 1.03 | 1984308 | 3.9816 |
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+ | 3.8796 | 0.03 | 2060628 | 3.9805 |
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+ | 3.8705 | 0.03 | 2136948 | 3.9788 |
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+ | 3.8694 | 0.03 | 2213268 | 3.9773 |
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+ | 3.863 | 1.03 | 2289588 | 3.9766 |
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+ | 3.857 | 0.03 | 2365908 | 3.9751 |
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+ | 3.8545 | 1.03 | 2442228 | 3.9737 |
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+ | 3.8461 | 0.03 | 2518548 | 3.9731 |
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+ | 3.8429 | 1.03 | 2594868 | 3.9722 |
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+ | 3.8378 | 0.03 | 2671188 | 3.9716 |
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+ | 3.8349 | 0.03 | 2747508 | 3.9707 |
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+ | 3.8407 | 0.03 | 2823828 | 3.9704 |
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+ | 3.8386 | 1.03 | 2900148 | 3.9700 |
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+ | 3.8431 | 0.03 | 2976468 | 3.9696 |
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+ | 3.8437 | 0.02 | 3052726 | 3.9694 |
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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