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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-cl2-transformer-1 |
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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-cl2-transformer-1 |
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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: 3.8695 |
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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: 1 |
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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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| 4.2329 | 0.03 | 76320 | 4.2009 | |
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| 4.0289 | 1.03 | 152640 | 4.0307 | |
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| 3.9231 | 0.03 | 228960 | 3.9576 | |
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| 3.8535 | 1.03 | 305280 | 3.9171 | |
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| 3.804 | 0.03 | 381600 | 3.8918 | |
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| 3.7641 | 1.03 | 457920 | 3.8763 | |
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| 3.7275 | 0.03 | 534240 | 3.8658 | |
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| 3.696 | 0.03 | 610560 | 3.8590 | |
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| 3.6663 | 1.03 | 686880 | 3.8544 | |
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| 3.6421 | 0.03 | 763200 | 3.8515 | |
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| 3.6169 | 1.03 | 839520 | 3.8503 | |
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| 3.5968 | 0.03 | 915840 | 3.8493 | |
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| 3.5769 | 1.03 | 992160 | 3.8496 | |
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| 3.558 | 0.03 | 1068480 | 3.8508 | |
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| 3.547 | 1.03 | 1144800 | 3.8513 | |
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| 3.5347 | 0.03 | 1221120 | 3.8519 | |
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| 3.5203 | 0.03 | 1297440 | 3.8537 | |
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| 3.5052 | 1.03 | 1373760 | 3.8551 | |
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| 3.4959 | 0.03 | 1450080 | 3.8548 | |
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| 3.4838 | 0.03 | 1526400 | 3.8566 | |
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| 3.4748 | 1.03 | 1602720 | 3.8588 | |
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| 3.4668 | 0.03 | 1679040 | 3.8602 | |
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| 3.4557 | 1.03 | 1755360 | 3.8608 | |
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| 3.4437 | 0.03 | 1831680 | 3.8632 | |
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| 3.4302 | 1.03 | 1908000 | 3.8629 | |
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| 3.4168 | 0.03 | 1984320 | 3.8652 | |
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| 3.4053 | 1.03 | 2060640 | 3.8663 | |
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| 3.3953 | 0.03 | 2136960 | 3.8667 | |
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| 3.3831 | 1.03 | 2213280 | 3.8682 | |
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| 3.371 | 0.03 | 2289600 | 3.8691 | |
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| 3.3647 | 1.03 | 2365920 | 3.8695 | |
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| 3.3613 | 0.03 | 2442240 | 3.8700 | |
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| 3.3501 | 0.03 | 2518560 | 3.8709 | |
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| 3.3403 | 1.03 | 2594880 | 3.8718 | |
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| 3.3309 | 0.03 | 2671200 | 3.8718 | |
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| 3.3237 | 1.03 | 2747520 | 3.8718 | |
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| 3.3183 | 0.03 | 2823840 | 3.8718 | |
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| 3.3119 | 1.03 | 2900160 | 3.8714 | |
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| 3.3057 | 0.03 | 2976480 | 3.8705 | |
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| 3.2965 | 1.02 | 3052726 | 3.8695 | |
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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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