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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: full2-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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+ # full2-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: 3.9723
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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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+ | 4.7959 | 0.03 | 76320 | 4.7638 |
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+ | 4.5079 | 1.03 | 152640 | 4.4815 |
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+ | 4.3625 | 0.03 | 228960 | 4.3450 |
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+ | 4.2769 | 1.03 | 305280 | 4.2616 |
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+ | 4.2133 | 0.03 | 381600 | 4.2046 |
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+ | 4.167 | 0.03 | 457920 | 4.1638 |
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+ | 4.1327 | 0.03 | 534240 | 4.1323 |
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+ | 4.1009 | 1.03 | 610560 | 4.1073 |
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+ | 4.0712 | 0.03 | 686880 | 4.0878 |
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+ | 4.0477 | 1.03 | 763200 | 4.0715 |
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+ | 4.0282 | 0.03 | 839520 | 4.0582 |
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+ | 4.0086 | 1.03 | 915840 | 4.0472 |
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+ | 3.9979 | 0.03 | 992160 | 4.0375 |
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+ | 3.9819 | 1.03 | 1068480 | 4.0296 |
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+ | 3.9663 | 0.03 | 1144800 | 4.0231 |
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+ | 3.9521 | 1.03 | 1221120 | 4.0175 |
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+ | 3.9375 | 0.03 | 1297440 | 4.0120 |
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+ | 3.929 | 1.03 | 1373760 | 4.0072 |
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+ | 3.9164 | 0.03 | 1450080 | 4.0034 |
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+ | 3.9149 | 1.03 | 1526400 | 3.9997 |
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+ | 3.9088 | 0.03 | 1602720 | 3.9969 |
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+ | 3.9042 | 1.03 | 1679040 | 3.9941 |
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+ | 3.9046 | 0.03 | 1755360 | 3.9915 |
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+ | 3.8983 | 1.03 | 1831680 | 3.9891 |
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+ | 3.8929 | 0.03 | 1908000 | 3.9868 |
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+ | 3.8857 | 1.03 | 1984320 | 3.9849 |
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+ | 3.8807 | 0.03 | 2060640 | 3.9831 |
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+ | 3.8737 | 0.03 | 2136960 | 3.9818 |
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+ | 3.8729 | 1.03 | 2213280 | 3.9802 |
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+ | 3.8669 | 0.03 | 2289600 | 3.9789 |
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+ | 3.8603 | 0.03 | 2365920 | 3.9781 |
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+ | 3.8562 | 1.03 | 2442240 | 3.9771 |
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+ | 3.8473 | 0.03 | 2518560 | 3.9763 |
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+ | 3.8437 | 1.03 | 2594880 | 3.9755 |
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+ | 3.8393 | 0.03 | 2671200 | 3.9749 |
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+ | 3.8432 | 0.03 | 2747520 | 3.9742 |
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+ | 3.8431 | 1.03 | 2823840 | 3.9735 |
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+ | 3.8439 | 0.03 | 2900160 | 3.9730 |
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+ | 3.8476 | 1.03 | 2976480 | 3.9726 |
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+ | 3.8466 | 0.02 | 3052726 | 3.9723 |
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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