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old-rel-cl-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: rel-cl-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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+ # rel-cl-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: 3.9792
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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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+ | 4.7938 | 0.03 | 76319 | 4.7559 |
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+ | 4.5099 | 0.03 | 152638 | 4.4756 |
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+ | 4.3688 | 1.03 | 228957 | 4.3427 |
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+ | 4.2817 | 0.03 | 305276 | 4.2613 |
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+ | 4.2191 | 1.03 | 381595 | 4.2047 |
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+ | 4.1676 | 0.03 | 457914 | 4.1641 |
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+ | 4.1315 | 0.03 | 534233 | 4.1336 |
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+ | 4.1017 | 0.03 | 610552 | 4.1102 |
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+ | 4.0701 | 1.03 | 686871 | 4.0906 |
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+ | 4.05 | 0.03 | 763190 | 4.0741 |
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+ | 4.0306 | 1.03 | 839509 | 4.0620 |
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+ | 4.0118 | 0.03 | 915828 | 4.0515 |
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+ | 3.992 | 0.03 | 992147 | 4.0427 |
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+ | 3.9801 | 1.03 | 1068466 | 4.0348 |
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+ | 3.9659 | 0.03 | 1144785 | 4.0278 |
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+ | 3.9568 | 1.03 | 1221104 | 4.0221 |
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+ | 3.9456 | 0.03 | 1297424 | 4.0166 |
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+ | 3.9318 | 1.03 | 1373744 | 4.0121 |
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+ | 3.9242 | 0.03 | 1450064 | 4.0080 |
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+ | 3.9185 | 1.03 | 1526384 | 4.0051 |
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+ | 3.9133 | 0.03 | 1602704 | 4.0016 |
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+ | 3.9104 | 0.03 | 1679024 | 3.9993 |
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+ | 3.9076 | 1.03 | 1755344 | 3.9968 |
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+ | 3.8999 | 0.03 | 1831664 | 3.9944 |
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+ | 3.8906 | 1.03 | 1907984 | 3.9928 |
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+ | 3.8829 | 0.03 | 1984304 | 3.9910 |
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+ | 3.879 | 1.03 | 2060624 | 3.9893 |
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+ | 3.874 | 0.03 | 2136944 | 3.9882 |
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+ | 3.8682 | 1.03 | 2213264 | 3.9871 |
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+ | 3.8628 | 0.03 | 2289584 | 3.9859 |
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+ | 3.8627 | 0.03 | 2365904 | 3.9848 |
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+ | 3.86 | 0.03 | 2442224 | 3.9838 |
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+ | 3.8535 | 1.03 | 2518544 | 3.9829 |
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+ | 3.8496 | 0.03 | 2594864 | 3.9822 |
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+ | 3.8468 | 1.03 | 2671184 | 3.9813 |
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+ | 3.8472 | 0.03 | 2747504 | 3.9811 |
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+ | 3.8477 | 1.03 | 2823824 | 3.9803 |
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+ | 3.8478 | 0.03 | 2900144 | 3.9800 |
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+ | 3.8477 | 0.03 | 2976464 | 3.9796 |
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+ | 3.8446 | 0.02 | 3052726 | 3.9792 |
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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