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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-0 |
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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-0 |
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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: 3.9774 |
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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: 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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-------:|:---------------:| |
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| 4.8082 | 0.03 | 76319 | 4.7686 | |
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| 4.5186 | 1.03 | 152638 | 4.4836 | |
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| 4.3751 | 0.03 | 228957 | 4.3481 | |
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| 4.2868 | 1.03 | 305276 | 4.2655 | |
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| 4.2227 | 0.03 | 381595 | 4.2085 | |
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| 4.1713 | 0.03 | 457914 | 4.1671 | |
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| 4.1342 | 0.03 | 534233 | 4.1361 | |
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| 4.1036 | 0.03 | 610552 | 4.1114 | |
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| 4.0715 | 1.03 | 686871 | 4.0915 | |
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| 4.0524 | 0.03 | 763190 | 4.0756 | |
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| 4.0316 | 1.03 | 839509 | 4.0636 | |
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| 4.0127 | 0.03 | 915828 | 4.0522 | |
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| 3.9912 | 0.03 | 992147 | 4.0424 | |
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| 3.9787 | 1.03 | 1068466 | 4.0349 | |
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| 3.9572 | 0.03 | 1144786 | 4.0269 | |
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| 3.9465 | 1.03 | 1221106 | 4.0206 | |
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| 3.9442 | 0.03 | 1297426 | 4.0153 | |
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| 3.9335 | 1.03 | 1373746 | 4.0111 | |
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| 3.9232 | 0.03 | 1450066 | 4.0068 | |
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| 3.9185 | 1.03 | 1526386 | 4.0029 | |
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| 3.9139 | 0.03 | 1602706 | 3.9997 | |
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| 3.9108 | 1.03 | 1679026 | 3.9973 | |
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| 3.9081 | 0.03 | 1755346 | 3.9954 | |
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| 3.8976 | 1.03 | 1831666 | 3.9930 | |
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| 3.8919 | 0.03 | 1907986 | 3.9912 | |
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| 3.8824 | 1.03 | 1984306 | 3.9896 | |
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| 3.8759 | 0.03 | 2060626 | 3.9880 | |
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| 3.8735 | 1.03 | 2136946 | 3.9865 | |
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| 3.8676 | 0.03 | 2213266 | 3.9854 | |
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| 3.8588 | 1.03 | 2289586 | 3.9842 | |
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| 3.8596 | 0.03 | 2365906 | 3.9830 | |
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| 3.8594 | 0.03 | 2442226 | 3.9820 | |
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| 3.8535 | 1.03 | 2518546 | 3.9811 | |
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| 3.8489 | 0.03 | 2594866 | 3.9804 | |
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| 3.8453 | 1.03 | 2671186 | 3.9795 | |
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| 3.8472 | 0.03 | 2747506 | 3.9791 | |
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| 3.8447 | 1.03 | 2823826 | 3.9786 | |
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| 3.8473 | 0.03 | 2900146 | 3.9781 | |
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| 3.8489 | 0.03 | 2976466 | 3.9777 | |
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| 3.8439 | 1.02 | 3052726 | 3.9774 | |
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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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