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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-3 |
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results: [] |
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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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# rel-cl-lstm-3 |
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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: 3.9834 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 3 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-------:|:---------------:| |
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| 4.8333 | 0.03 | 76319 | 4.7955 | |
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| 4.5414 | 1.03 | 152638 | 4.5069 | |
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| 4.3958 | 0.03 | 228957 | 4.3693 | |
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| 4.3064 | 1.03 | 305276 | 4.2841 | |
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| 4.2412 | 0.03 | 381595 | 4.2253 | |
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| 4.1888 | 1.03 | 457914 | 4.1822 | |
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| 4.1518 | 0.03 | 534233 | 4.1503 | |
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| 4.1231 | 1.03 | 610552 | 4.1251 | |
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| 4.0901 | 0.03 | 686871 | 4.1043 | |
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| 4.0684 | 1.03 | 763190 | 4.0883 | |
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| 4.0494 | 0.03 | 839509 | 4.0748 | |
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| 4.0311 | 1.03 | 915828 | 4.0629 | |
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| 4.0094 | 0.03 | 992147 | 4.0531 | |
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| 3.9984 | 1.03 | 1068466 | 4.0447 | |
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| 3.9843 | 0.03 | 1144785 | 4.0374 | |
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| 3.9745 | 1.03 | 1221104 | 4.0315 | |
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| 3.9639 | 0.03 | 1297424 | 4.0246 | |
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| 3.9518 | 1.03 | 1373744 | 4.0196 | |
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| 3.9425 | 0.03 | 1450064 | 4.0152 | |
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| 3.9366 | 1.03 | 1526384 | 4.0120 | |
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| 3.9314 | 0.03 | 1602704 | 4.0092 | |
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| 3.9281 | 1.03 | 1679024 | 4.0062 | |
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| 3.9248 | 0.03 | 1755344 | 4.0037 | |
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| 3.9168 | 1.03 | 1831664 | 4.0010 | |
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| 3.9081 | 0.03 | 1907984 | 3.9989 | |
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| 3.9019 | 1.03 | 1984304 | 3.9969 | |
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| 3.8948 | 0.03 | 2060624 | 3.9948 | |
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| 3.891 | 1.03 | 2136944 | 3.9935 | |
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| 3.8871 | 0.03 | 2213264 | 3.9923 | |
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| 3.8802 | 1.03 | 2289584 | 3.9913 | |
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| 3.8797 | 0.03 | 2365904 | 3.9902 | |
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| 3.8769 | 1.03 | 2442224 | 3.9892 | |
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| 3.8733 | 0.03 | 2518544 | 3.9886 | |
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| 3.8671 | 1.03 | 2594864 | 3.9875 | |
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| 3.8637 | 0.03 | 2671184 | 3.9867 | |
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| 3.8642 | 1.03 | 2747504 | 3.9858 | |
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| 3.8642 | 0.03 | 2823824 | 3.9848 | |
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| 3.8653 | 1.03 | 2900144 | 3.9842 | |
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| 3.8671 | 0.03 | 2976464 | 3.9836 | |
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| 3.8639 | 0.02 | 3052726 | 3.9834 | |
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### Framework versions |
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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 |
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