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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: passive-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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# passive-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: 3.8679 |
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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: 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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| 4.2257 | 0.03 | 76320 | 4.2010 | |
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| 4.0198 | 1.03 | 152640 | 4.0338 | |
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| 3.9095 | 0.03 | 228960 | 3.9584 | |
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| 3.8455 | 0.03 | 305280 | 3.9177 | |
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| 3.7916 | 1.03 | 381600 | 3.8919 | |
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| 3.7537 | 0.03 | 457920 | 3.8756 | |
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| 3.717 | 1.03 | 534240 | 3.8662 | |
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| 3.6876 | 0.03 | 610560 | 3.8584 | |
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| 3.6572 | 1.03 | 686880 | 3.8533 | |
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| 3.633 | 0.03 | 763200 | 3.8511 | |
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| 3.6086 | 1.03 | 839520 | 3.8489 | |
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| 3.5888 | 0.03 | 915840 | 3.8485 | |
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| 3.569 | 0.03 | 992160 | 3.8475 | |
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| 3.544 | 1.03 | 1068480 | 3.8488 | |
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| 3.5304 | 0.03 | 1144800 | 3.8502 | |
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| 3.5249 | 1.03 | 1221120 | 3.8493 | |
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| 3.5083 | 0.03 | 1297440 | 3.8509 | |
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| 3.4965 | 1.03 | 1373760 | 3.8526 | |
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| 3.4795 | 0.03 | 1450080 | 3.8537 | |
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| 3.4755 | 1.03 | 1526400 | 3.8547 | |
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| 3.4649 | 0.03 | 1602720 | 3.8562 | |
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| 3.4587 | 1.03 | 1679040 | 3.8574 | |
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| 3.4474 | 0.03 | 1755360 | 3.8598 | |
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| 3.4365 | 1.03 | 1831680 | 3.8609 | |
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| 3.4218 | 0.03 | 1908000 | 3.8628 | |
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| 3.4091 | 1.03 | 1984320 | 3.8629 | |
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| 3.3976 | 0.03 | 2060640 | 3.8643 | |
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| 3.389 | 1.03 | 2136960 | 3.8659 | |
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| 3.3754 | 0.03 | 2213280 | 3.8660 | |
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| 3.3594 | 1.03 | 2289600 | 3.8670 | |
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| 3.3494 | 0.03 | 2365920 | 3.8681 | |
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| 3.3476 | 1.03 | 2442240 | 3.8692 | |
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| 3.3376 | 0.03 | 2518560 | 3.8689 | |
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| 3.3285 | 1.03 | 2594880 | 3.8697 | |
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| 3.3177 | 0.03 | 2671200 | 3.8697 | |
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| 3.3149 | 1.03 | 2747520 | 3.8698 | |
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| 3.306 | 0.03 | 2823840 | 3.8705 | |
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| 3.3021 | 0.03 | 2900160 | 3.8696 | |
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| 3.2969 | 1.03 | 2976480 | 3.8689 | |
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| 3.2904 | 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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