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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-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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# npi-only-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: 3.8602 |
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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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| 4.2219 | 0.03 | 76320 | 4.1939 | |
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| 4.0171 | 1.03 | 152640 | 4.0249 | |
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| 3.9099 | 0.03 | 228960 | 3.9509 | |
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| 3.8379 | 1.03 | 305280 | 3.9097 | |
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| 3.7887 | 0.03 | 381600 | 3.8848 | |
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| 3.7486 | 0.03 | 457920 | 3.8681 | |
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| 3.7135 | 1.03 | 534240 | 3.8583 | |
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| 3.6868 | 0.03 | 610560 | 3.8516 | |
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| 3.6574 | 1.03 | 686880 | 3.8469 | |
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| 3.6311 | 0.03 | 763200 | 3.8440 | |
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| 3.6076 | 1.03 | 839520 | 3.8431 | |
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| 3.5866 | 0.03 | 915840 | 3.8422 | |
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| 3.5683 | 1.03 | 992160 | 3.8421 | |
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| 3.5492 | 0.03 | 1068480 | 3.8424 | |
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| 3.5304 | 1.03 | 1144800 | 3.8433 | |
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| 3.5315 | 0.03 | 1221120 | 3.8459 | |
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| 3.5103 | 1.03 | 1297440 | 3.8459 | |
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| 3.4974 | 0.03 | 1373760 | 3.8475 | |
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| 3.4858 | 1.03 | 1450080 | 3.8485 | |
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| 3.4723 | 0.03 | 1526400 | 3.8502 | |
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| 3.4644 | 1.03 | 1602720 | 3.8505 | |
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| 3.4557 | 0.03 | 1679040 | 3.8526 | |
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| 3.4466 | 1.03 | 1755360 | 3.8532 | |
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| 3.4389 | 0.03 | 1831680 | 3.8546 | |
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| 3.4245 | 1.03 | 1908000 | 3.8560 | |
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| 3.4119 | 0.03 | 1984320 | 3.8569 | |
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| 3.3964 | 1.03 | 2060640 | 3.8589 | |
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| 3.3868 | 0.03 | 2136960 | 3.8584 | |
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| 3.3744 | 1.03 | 2213280 | 3.8605 | |
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| 3.3638 | 0.03 | 2289600 | 3.8619 | |
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| 3.3497 | 1.03 | 2365920 | 3.8616 | |
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| 3.3566 | 0.03 | 2442240 | 3.8614 | |
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| 3.3404 | 1.03 | 2518560 | 3.8625 | |
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| 3.3326 | 0.03 | 2594880 | 3.8628 | |
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| 3.3241 | 1.03 | 2671200 | 3.8628 | |
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| 3.3149 | 0.03 | 2747520 | 3.8632 | |
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| 3.3085 | 1.03 | 2823840 | 3.8625 | |
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| 3.3024 | 0.03 | 2900160 | 3.8626 | |
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| 3.2978 | 1.03 | 2976480 | 3.8610 | |
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| 3.2933 | 0.02 | 3052726 | 3.8602 | |
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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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