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old-full-lstm-3

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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-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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+ # full-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: 3.9685
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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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+ | 4.7832 | 0.03 | 76319 | 4.7485 |
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+ | 4.5027 | 0.03 | 152638 | 4.4708 |
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+ | 4.3608 | 0.03 | 228957 | 4.3370 |
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+ | 4.2693 | 1.03 | 305276 | 4.2557 |
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+ | 4.2052 | 0.03 | 381595 | 4.2002 |
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+ | 4.1539 | 1.03 | 457914 | 4.1587 |
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+ | 4.1188 | 0.03 | 534233 | 4.1278 |
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+ | 4.0903 | 0.03 | 610552 | 4.1043 |
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+ | 4.0598 | 1.03 | 686871 | 4.0848 |
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+ | 4.036 | 0.03 | 763190 | 4.0675 |
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+ | 4.0172 | 1.03 | 839509 | 4.0550 |
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+ | 4.001 | 0.03 | 915828 | 4.0447 |
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+ | 3.9809 | 0.03 | 992147 | 4.0355 |
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+ | 3.9667 | 0.03 | 1068467 | 4.0263 |
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+ | 3.9546 | 1.03 | 1144787 | 4.0188 |
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+ | 3.9525 | 0.03 | 1221107 | 4.0124 |
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+ | 3.9332 | 1.03 | 1297427 | 4.0074 |
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+ | 3.9251 | 0.03 | 1373747 | 4.0028 |
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+ | 3.9148 | 1.03 | 1450067 | 3.9989 |
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+ | 3.9065 | 0.03 | 1526387 | 3.9954 |
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+ | 3.9044 | 1.03 | 1602707 | 3.9925 |
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+ | 3.8995 | 0.03 | 1679027 | 3.9900 |
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+ | 3.8994 | 0.03 | 1755347 | 3.9872 |
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+ | 3.895 | 1.03 | 1831667 | 3.9849 |
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+ | 3.8861 | 0.03 | 1907987 | 3.9832 |
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+ | 3.8793 | 1.03 | 1984307 | 3.9809 |
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+ | 3.8748 | 0.03 | 2060627 | 3.9785 |
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+ | 3.8675 | 1.03 | 2136947 | 3.9774 |
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+ | 3.8656 | 0.03 | 2213267 | 3.9760 |
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+ | 3.8586 | 0.03 | 2289587 | 3.9746 |
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+ | 3.8518 | 1.03 | 2365907 | 3.9738 |
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+ | 3.85 | 0.03 | 2442227 | 3.9729 |
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+ | 3.8407 | 1.03 | 2518547 | 3.9720 |
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+ | 3.8388 | 0.03 | 2594867 | 3.9711 |
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+ | 3.8321 | 1.03 | 2671187 | 3.9704 |
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+ | 3.8326 | 0.03 | 2747507 | 3.9700 |
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+ | 3.8354 | 0.03 | 2823827 | 3.9696 |
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+ | 3.8349 | 1.03 | 2900147 | 3.9691 |
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+ | 3.8397 | 0.03 | 2976467 | 3.9687 |
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+ | 3.8387 | 0.02 | 3052726 | 3.9685 |
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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