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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-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-cl2-transformer-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: 3.8723 |
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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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| 4.2396 | 0.03 | 76320 | 4.2054 | |
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| 4.0324 | 1.03 | 152640 | 4.0344 | |
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| 3.9268 | 0.03 | 228960 | 3.9612 | |
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| 3.858 | 1.03 | 305280 | 3.9191 | |
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| 3.8054 | 0.03 | 381600 | 3.8933 | |
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| 3.7659 | 1.03 | 457920 | 3.8774 | |
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| 3.7299 | 0.03 | 534240 | 3.8676 | |
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| 3.6983 | 1.03 | 610560 | 3.8601 | |
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| 3.6681 | 0.03 | 686880 | 3.8566 | |
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| 3.6432 | 1.03 | 763200 | 3.8536 | |
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| 3.6169 | 0.03 | 839520 | 3.8521 | |
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| 3.596 | 1.03 | 915840 | 3.8518 | |
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| 3.5764 | 0.03 | 992160 | 3.8511 | |
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| 3.5594 | 1.03 | 1068480 | 3.8525 | |
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| 3.5453 | 0.03 | 1144800 | 3.8519 | |
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| 3.5375 | 1.03 | 1221120 | 3.8525 | |
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| 3.5204 | 0.03 | 1297440 | 3.8539 | |
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| 3.5061 | 1.03 | 1373760 | 3.8566 | |
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| 3.494 | 0.03 | 1450080 | 3.8576 | |
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| 3.483 | 1.03 | 1526400 | 3.8582 | |
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| 3.4723 | 0.03 | 1602720 | 3.8598 | |
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| 3.4649 | 1.03 | 1679040 | 3.8618 | |
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| 3.4552 | 0.03 | 1755360 | 3.8638 | |
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| 3.4422 | 0.03 | 1831680 | 3.8636 | |
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| 3.4279 | 1.03 | 1908000 | 3.8664 | |
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| 3.4158 | 0.03 | 1984320 | 3.8670 | |
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| 3.4032 | 1.03 | 2060640 | 3.8694 | |
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| 3.392 | 0.03 | 2136960 | 3.8695 | |
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| 3.3802 | 1.03 | 2213280 | 3.8707 | |
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| 3.3686 | 0.03 | 2289600 | 3.8726 | |
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| 3.3611 | 1.03 | 2365920 | 3.8729 | |
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| 3.359 | 0.03 | 2442240 | 3.8727 | |
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| 3.3459 | 1.03 | 2518560 | 3.8743 | |
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| 3.3369 | 0.03 | 2594880 | 3.8742 | |
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| 3.328 | 0.03 | 2671200 | 3.8751 | |
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| 3.3197 | 1.03 | 2747520 | 3.8751 | |
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| 3.3156 | 0.03 | 2823840 | 3.8752 | |
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| 3.3092 | 1.03 | 2900160 | 3.8751 | |
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| 3.3014 | 0.03 | 2976480 | 3.8737 | |
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| 3.2948 | 1.02 | 3052726 | 3.8723 | |
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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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