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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-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-cl2-transformer-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: 3.8752 |
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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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| 4.238 | 0.03 | 76320 | 4.2068 | |
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| 4.0326 | 1.03 | 152640 | 4.0352 | |
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| 3.9254 | 0.03 | 228960 | 3.9594 | |
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| 3.8541 | 1.03 | 305280 | 3.9177 | |
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| 3.8051 | 0.03 | 381600 | 3.8928 | |
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| 3.7636 | 0.03 | 457920 | 3.8770 | |
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| 3.7283 | 1.03 | 534240 | 3.8664 | |
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| 3.6974 | 0.03 | 610560 | 3.8598 | |
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| 3.6665 | 1.03 | 686880 | 3.8546 | |
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| 3.6435 | 0.03 | 763200 | 3.8530 | |
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| 3.6178 | 1.03 | 839520 | 3.8508 | |
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| 3.5986 | 0.03 | 915840 | 3.8514 | |
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| 3.5791 | 1.03 | 992160 | 3.8509 | |
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| 3.5621 | 0.03 | 1068480 | 3.8518 | |
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| 3.5498 | 1.03 | 1144800 | 3.8527 | |
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| 3.5345 | 0.03 | 1221120 | 3.8540 | |
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| 3.5205 | 1.03 | 1297440 | 3.8551 | |
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| 3.5063 | 0.03 | 1373760 | 3.8565 | |
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| 3.4944 | 1.03 | 1450080 | 3.8590 | |
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| 3.4828 | 0.03 | 1526400 | 3.8615 | |
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| 3.4734 | 0.03 | 1602720 | 3.8611 | |
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| 3.465 | 1.03 | 1679040 | 3.8627 | |
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| 3.4547 | 0.03 | 1755360 | 3.8664 | |
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| 3.4431 | 1.03 | 1831680 | 3.8674 | |
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| 3.4279 | 0.03 | 1908000 | 3.8686 | |
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| 3.4188 | 1.03 | 1984320 | 3.8693 | |
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| 3.4056 | 0.03 | 2060640 | 3.8711 | |
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| 3.3942 | 1.03 | 2136960 | 3.8723 | |
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| 3.3836 | 0.03 | 2213280 | 3.8747 | |
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| 3.3698 | 1.03 | 2289600 | 3.8753 | |
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| 3.3635 | 0.03 | 2365920 | 3.8765 | |
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| 3.3565 | 1.03 | 2442240 | 3.8772 | |
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| 3.347 | 0.03 | 2518560 | 3.8770 | |
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| 3.3347 | 1.03 | 2594880 | 3.8784 | |
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| 3.3296 | 0.03 | 2671200 | 3.8782 | |
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| 3.3223 | 0.03 | 2747520 | 3.8780 | |
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| 3.3144 | 1.03 | 2823840 | 3.8785 | |
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| 3.3108 | 0.03 | 2900160 | 3.8772 | |
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| 3.3033 | 1.03 | 2976480 | 3.8761 | |
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| 3.2948 | 0.02 | 3052726 | 3.8752 | |
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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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