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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-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-cl2-transformer-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: 3.8679 |
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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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| 4.2377 | 0.03 | 76320 | 4.2029 | |
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| 4.0318 | 1.03 | 152640 | 4.0337 | |
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| 3.9251 | 0.03 | 228960 | 3.9583 | |
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| 3.8539 | 1.03 | 305280 | 3.9172 | |
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| 3.8033 | 0.03 | 381600 | 3.8931 | |
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| 3.7625 | 1.03 | 457920 | 3.8765 | |
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| 3.7264 | 0.03 | 534240 | 3.8653 | |
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| 3.6966 | 1.03 | 610560 | 3.8590 | |
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| 3.6669 | 0.03 | 686880 | 3.8557 | |
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| 3.6421 | 1.03 | 763200 | 3.8520 | |
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| 3.6162 | 0.03 | 839520 | 3.8502 | |
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| 3.5966 | 1.03 | 915840 | 3.8494 | |
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| 3.5791 | 0.03 | 992160 | 3.8483 | |
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| 3.5578 | 1.03 | 1068480 | 3.8498 | |
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| 3.5447 | 0.03 | 1144800 | 3.8502 | |
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| 3.5354 | 1.03 | 1221120 | 3.8513 | |
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| 3.5188 | 0.03 | 1297440 | 3.8529 | |
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| 3.5059 | 0.03 | 1373760 | 3.8541 | |
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| 3.4959 | 1.03 | 1450080 | 3.8552 | |
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| 3.482 | 0.03 | 1526400 | 3.8570 | |
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| 3.4744 | 0.03 | 1602720 | 3.8576 | |
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| 3.4665 | 0.03 | 1679040 | 3.8593 | |
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| 3.4556 | 0.03 | 1755360 | 3.8615 | |
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| 3.4438 | 0.03 | 1831680 | 3.8622 | |
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| 3.4297 | 1.03 | 1908000 | 3.8633 | |
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| 3.4185 | 0.03 | 1984320 | 3.8654 | |
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| 3.4036 | 1.03 | 2060640 | 3.8650 | |
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| 3.394 | 0.03 | 2136960 | 3.8670 | |
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| 3.3823 | 1.03 | 2213280 | 3.8687 | |
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| 3.37 | 0.03 | 2289600 | 3.8685 | |
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| 3.3629 | 1.03 | 2365920 | 3.8704 | |
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| 3.3583 | 0.03 | 2442240 | 3.8706 | |
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| 3.3462 | 1.03 | 2518560 | 3.8710 | |
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| 3.3349 | 0.03 | 2594880 | 3.8712 | |
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| 3.3282 | 1.03 | 2671200 | 3.8706 | |
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| 3.3211 | 0.03 | 2747520 | 3.8724 | |
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| 3.3168 | 1.03 | 2823840 | 3.8708 | |
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| 3.3123 | 0.03 | 2900160 | 3.8701 | |
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| 3.3045 | 0.03 | 2976480 | 3.8690 | |
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| 3.2964 | 0.02 | 3052726 | 3.8679 | |
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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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