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re-irr-sv-agr-lstm-0

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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-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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+ # re-irr-sv-agr-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: 3.9871
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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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+ | 4.774 | 0.03 | 76320 | 4.7628 |
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+ | 4.4898 | 1.03 | 152640 | 4.4830 |
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+ | 4.3488 | 0.03 | 228960 | 4.3492 |
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+ | 4.2646 | 1.03 | 305280 | 4.2676 |
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+ | 4.1995 | 0.03 | 381600 | 4.2116 |
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+ | 4.1574 | 1.03 | 457920 | 4.1707 |
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+ | 4.1193 | 0.03 | 534240 | 4.1409 |
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+ | 4.0851 | 0.03 | 610560 | 4.1171 |
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+ | 4.0581 | 1.03 | 686880 | 4.0982 |
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+ | 4.0332 | 0.03 | 763200 | 4.0820 |
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+ | 4.0122 | 1.03 | 839520 | 4.0701 |
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+ | 4.0007 | 0.03 | 915840 | 4.0597 |
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+ | 3.986 | 1.03 | 992160 | 4.0507 |
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+ | 3.9678 | 0.03 | 1068480 | 4.0432 |
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+ | 3.9529 | 1.03 | 1144800 | 4.0362 |
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+ | 3.9348 | 0.03 | 1221120 | 4.0301 |
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+ | 3.922 | 0.03 | 1297440 | 4.0256 |
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+ | 3.9113 | 1.03 | 1373760 | 4.0213 |
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+ | 3.9021 | 0.03 | 1450080 | 4.0174 |
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+ | 3.8989 | 1.03 | 1526400 | 4.0139 |
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+ | 3.8936 | 0.03 | 1602720 | 4.0110 |
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+ | 3.8923 | 1.03 | 1679040 | 4.0083 |
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+ | 3.8889 | 0.03 | 1755360 | 4.0060 |
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+ | 3.8785 | 1.03 | 1831680 | 4.0036 |
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+ | 3.8726 | 0.03 | 1908000 | 4.0011 |
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+ | 3.8671 | 0.03 | 1984320 | 3.9992 |
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+ | 3.8603 | 1.03 | 2060640 | 3.9976 |
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+ | 3.8618 | 0.03 | 2136960 | 3.9963 |
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+ | 3.8576 | 1.03 | 2213280 | 3.9950 |
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+ | 3.8495 | 0.03 | 2289600 | 3.9942 |
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+ | 3.846 | 1.03 | 2365920 | 3.9930 |
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+ | 3.8371 | 2.03 | 2442240 | 3.9918 |
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+ | 3.8292 | 0.03 | 2518560 | 3.9914 |
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+ | 3.8253 | 1.03 | 2594880 | 3.9905 |
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+ | 3.8211 | 0.03 | 2671200 | 3.9897 |
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+ | 3.823 | 1.03 | 2747520 | 3.9888 |
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+ | 3.8256 | 0.03 | 2823840 | 3.9882 |
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+ | 3.8285 | 1.03 | 2900160 | 3.9876 |
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+ | 3.8292 | 0.03 | 2976480 | 3.9874 |
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+ | 3.8239 | 1.02 | 3052726 | 3.9871 |
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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