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re-irr-sv-agr-lstm-2

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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: re-irr-sv-agr-lstm-2
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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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+ # re-irr-sv-agr-lstm-2
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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: 3.9891
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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: 2
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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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+ | 4.7913 | 0.03 | 76320 | 4.7806 |
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+ | 4.504 | 1.03 | 152640 | 4.4977 |
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+ | 4.3624 | 2.03 | 228960 | 4.3626 |
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+ | 4.2755 | 0.03 | 305280 | 4.2788 |
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+ | 4.2123 | 1.03 | 381600 | 4.2215 |
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+ | 4.1669 | 0.03 | 457920 | 4.1800 |
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+ | 4.1297 | 1.03 | 534240 | 4.1490 |
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+ | 4.093 | 0.03 | 610560 | 4.1240 |
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+ | 4.0664 | 0.03 | 686880 | 4.1048 |
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+ | 4.0437 | 1.03 | 763200 | 4.0895 |
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+ | 4.0205 | 2.03 | 839520 | 4.0752 |
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+ | 4.0071 | 0.03 | 915840 | 4.0649 |
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+ | 3.993 | 1.03 | 992160 | 4.0546 |
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+ | 3.9751 | 0.03 | 1068480 | 4.0470 |
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+ | 3.9596 | 1.03 | 1144800 | 4.0400 |
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+ | 3.9436 | 0.03 | 1221120 | 4.0353 |
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+ | 3.9289 | 0.03 | 1297440 | 4.0297 |
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+ | 3.9188 | 0.03 | 1373760 | 4.0243 |
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+ | 3.91 | 1.03 | 1450080 | 4.0209 |
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+ | 3.9084 | 0.03 | 1526400 | 4.0170 |
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+ | 3.9049 | 1.03 | 1602720 | 4.0137 |
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+ | 3.9022 | 2.03 | 1679040 | 4.0111 |
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+ | 3.8974 | 0.03 | 1755360 | 4.0089 |
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+ | 3.8887 | 1.03 | 1831680 | 4.0065 |
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+ | 3.8836 | 2.03 | 1908000 | 4.0044 |
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+ | 3.8786 | 0.03 | 1984320 | 4.0022 |
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+ | 3.8708 | 1.03 | 2060640 | 4.0006 |
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+ | 3.8708 | 0.03 | 2136960 | 3.9994 |
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+ | 3.8682 | 1.03 | 2213280 | 3.9980 |
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+ | 3.86 | 0.03 | 2289600 | 3.9970 |
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+ | 3.855 | 1.03 | 2365920 | 3.9957 |
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+ | 3.8443 | 0.03 | 2442240 | 3.9946 |
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+ | 3.8383 | 1.03 | 2518560 | 3.9934 |
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+ | 3.8349 | 2.03 | 2594880 | 3.9924 |
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+ | 3.8312 | 0.03 | 2671200 | 3.9916 |
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+ | 3.8356 | 1.03 | 2747520 | 3.9910 |
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+ | 3.836 | 0.03 | 2823840 | 3.9904 |
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+ | 3.8403 | 1.03 | 2900160 | 3.9899 |
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+ | 3.8385 | 0.03 | 2976480 | 3.9895 |
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+ | 3.8368 | 1.02 | 3052726 | 3.9891 |
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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