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old-rel-cl-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: rel-cl-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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+ # rel-cl-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: 3.9785
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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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+ | 4.8008 | 0.03 | 76319 | 4.7627 |
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+ | 4.5151 | 0.03 | 152638 | 4.4816 |
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+ | 4.374 | 0.03 | 228957 | 4.3478 |
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+ | 4.2862 | 1.03 | 305276 | 4.2645 |
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+ | 4.2226 | 0.03 | 381595 | 4.2082 |
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+ | 4.1691 | 1.03 | 457914 | 4.1669 |
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+ | 4.1333 | 0.03 | 534233 | 4.1361 |
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+ | 4.1034 | 1.03 | 610552 | 4.1115 |
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+ | 4.0735 | 0.03 | 686871 | 4.0929 |
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+ | 4.051 | 1.03 | 763190 | 4.0768 |
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+ | 4.0334 | 0.03 | 839509 | 4.0648 |
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+ | 4.0153 | 1.03 | 915828 | 4.0532 |
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+ | 3.9936 | 0.03 | 992147 | 4.0440 |
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+ | 3.9834 | 0.03 | 1068466 | 4.0364 |
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+ | 3.9681 | 1.03 | 1144785 | 4.0294 |
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+ | 3.9586 | 0.03 | 1221105 | 4.0229 |
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+ | 3.9442 | 1.03 | 1297425 | 4.0173 |
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+ | 3.9351 | 0.03 | 1373745 | 4.0124 |
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+ | 3.9238 | 1.03 | 1450065 | 4.0085 |
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+ | 3.9209 | 0.03 | 1526385 | 4.0051 |
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+ | 3.9142 | 1.03 | 1602705 | 4.0024 |
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+ | 3.9116 | 0.03 | 1679025 | 3.9996 |
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+ | 3.9073 | 1.03 | 1755345 | 3.9973 |
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+ | 3.9009 | 0.03 | 1831665 | 3.9954 |
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+ | 3.8922 | 1.03 | 1907985 | 3.9933 |
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+ | 3.8829 | 0.03 | 1984305 | 3.9910 |
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+ | 3.8762 | 1.03 | 2060625 | 3.9890 |
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+ | 3.8746 | 0.03 | 2136945 | 3.9878 |
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+ | 3.8673 | 1.03 | 2213265 | 3.9862 |
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+ | 3.8607 | 0.03 | 2289585 | 3.9850 |
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+ | 3.8607 | 0.03 | 2365905 | 3.9843 |
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+ | 3.8592 | 0.03 | 2442225 | 3.9831 |
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+ | 3.8521 | 1.03 | 2518545 | 3.9822 |
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+ | 3.8487 | 0.03 | 2594865 | 3.9816 |
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+ | 3.8455 | 1.03 | 2671185 | 3.9811 |
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+ | 3.846 | 0.03 | 2747505 | 3.9803 |
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+ | 3.846 | 1.03 | 2823825 | 3.9796 |
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+ | 3.846 | 0.03 | 2900145 | 3.9794 |
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+ | 3.8496 | 0.03 | 2976465 | 3.9789 |
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+ | 3.8456 | 1.02 | 3052726 | 3.9785 |
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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