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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: npi-only-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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# npi-only-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: 3.8598 |
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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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| 4.2235 | 0.03 | 76320 | 4.1957 | |
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| 4.019 | 1.03 | 152640 | 4.0271 | |
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| 3.9115 | 0.03 | 228960 | 3.9505 | |
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| 3.8389 | 1.03 | 305280 | 3.9099 | |
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| 3.7889 | 0.03 | 381600 | 3.8846 | |
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| 3.749 | 1.03 | 457920 | 3.8686 | |
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| 3.7151 | 0.03 | 534240 | 3.8581 | |
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| 3.6879 | 1.03 | 610560 | 3.8510 | |
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| 3.6587 | 0.03 | 686880 | 3.8468 | |
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| 3.6325 | 1.03 | 763200 | 3.8441 | |
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| 3.6082 | 0.03 | 839520 | 3.8417 | |
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| 3.5868 | 1.03 | 915840 | 3.8415 | |
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| 3.5695 | 0.03 | 992160 | 3.8415 | |
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| 3.5516 | 1.03 | 1068480 | 3.8433 | |
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| 3.5316 | 0.03 | 1144800 | 3.8432 | |
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| 3.5291 | 1.03 | 1221120 | 3.8443 | |
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| 3.5091 | 0.03 | 1297440 | 3.8459 | |
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| 3.4953 | 1.03 | 1373760 | 3.8458 | |
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| 3.4831 | 0.03 | 1450080 | 3.8475 | |
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| 3.4707 | 1.03 | 1526400 | 3.8479 | |
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| 3.4629 | 0.03 | 1602720 | 3.8500 | |
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| 3.4549 | 0.03 | 1679040 | 3.8510 | |
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| 3.4461 | 1.03 | 1755360 | 3.8524 | |
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| 3.4385 | 0.03 | 1831680 | 3.8544 | |
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| 3.426 | 1.03 | 1908000 | 3.8561 | |
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| 3.4132 | 0.03 | 1984320 | 3.8569 | |
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| 3.399 | 1.03 | 2060640 | 3.8577 | |
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| 3.3863 | 0.03 | 2136960 | 3.8583 | |
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| 3.376 | 1.03 | 2213280 | 3.8598 | |
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| 3.3638 | 0.03 | 2289600 | 3.8609 | |
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| 3.3519 | 1.03 | 2365920 | 3.8610 | |
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| 3.3527 | 0.03 | 2442240 | 3.8618 | |
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| 3.338 | 1.03 | 2518560 | 3.8625 | |
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| 3.3299 | 0.03 | 2594880 | 3.8628 | |
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| 3.3204 | 0.03 | 2671200 | 3.8632 | |
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| 3.3114 | 1.03 | 2747520 | 3.8629 | |
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| 3.3075 | 0.03 | 2823840 | 3.8630 | |
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| 3.3027 | 1.03 | 2900160 | 3.8619 | |
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| 3.2984 | 0.03 | 2976480 | 3.8611 | |
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| 3.2935 | 1.02 | 3052726 | 3.8598 | |
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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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