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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-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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# passive-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: 3.8696 |
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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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| 4.2225 | 0.03 | 76320 | 4.2001 | |
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| 4.0189 | 1.03 | 152640 | 4.0316 | |
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| 3.9092 | 0.03 | 228960 | 3.9577 | |
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| 3.8447 | 1.03 | 305280 | 3.9168 | |
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| 3.7901 | 0.03 | 381600 | 3.8921 | |
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| 3.7531 | 1.03 | 457920 | 3.8760 | |
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| 3.7174 | 0.03 | 534240 | 3.8659 | |
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| 3.6872 | 1.03 | 610560 | 3.8589 | |
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| 3.6568 | 0.03 | 686880 | 3.8544 | |
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| 3.6319 | 1.03 | 763200 | 3.8517 | |
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| 3.6089 | 0.03 | 839520 | 3.8504 | |
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| 3.5884 | 1.03 | 915840 | 3.8495 | |
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| 3.566 | 0.03 | 992160 | 3.8500 | |
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| 3.5449 | 1.03 | 1068480 | 3.8502 | |
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| 3.5304 | 0.03 | 1144800 | 3.8498 | |
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| 3.5208 | 1.03 | 1221120 | 3.8510 | |
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| 3.5053 | 0.03 | 1297440 | 3.8518 | |
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| 3.4939 | 1.03 | 1373760 | 3.8523 | |
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| 3.4765 | 0.03 | 1450080 | 3.8561 | |
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| 3.4718 | 1.03 | 1526400 | 3.8568 | |
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| 3.4599 | 0.03 | 1602720 | 3.8594 | |
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| 3.4541 | 1.03 | 1679040 | 3.8597 | |
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| 3.4434 | 0.03 | 1755360 | 3.8611 | |
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| 3.4334 | 1.03 | 1831680 | 3.8617 | |
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| 3.4173 | 0.03 | 1908000 | 3.8632 | |
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| 3.4093 | 1.03 | 1984320 | 3.8642 | |
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| 3.3955 | 0.03 | 2060640 | 3.8664 | |
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| 3.3859 | 1.03 | 2136960 | 3.8668 | |
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| 3.3728 | 0.03 | 2213280 | 3.8681 | |
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| 3.3587 | 1.03 | 2289600 | 3.8685 | |
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| 3.3485 | 0.03 | 2365920 | 3.8694 | |
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| 3.3432 | 1.03 | 2442240 | 3.8703 | |
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| 3.3338 | 0.03 | 2518560 | 3.8714 | |
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| 3.3265 | 1.03 | 2594880 | 3.8717 | |
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| 3.3135 | 0.03 | 2671200 | 3.8721 | |
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| 3.3111 | 1.03 | 2747520 | 3.8721 | |
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| 3.3045 | 0.03 | 2823840 | 3.8724 | |
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| 3.3015 | 1.03 | 2900160 | 3.8717 | |
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| 3.2961 | 0.03 | 2976480 | 3.8713 | |
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| 3.288 | 1.02 | 3052726 | 3.8696 | |
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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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