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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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<!-- 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-4 |
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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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## 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: 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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### Training results |
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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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### 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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