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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-sim-ques-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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# npi-sim-ques-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: 3.8602 |
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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: 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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| 4.2287 | 0.03 | 76320 | 4.1911 | |
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| 4.0243 | 1.03 | 152640 | 4.0231 | |
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| 3.9212 | 0.03 | 228960 | 3.9499 | |
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| 3.8501 | 1.03 | 305280 | 3.9095 | |
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| 3.7982 | 0.03 | 381600 | 3.8842 | |
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| 3.7556 | 1.03 | 457920 | 3.8682 | |
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| 3.7228 | 0.03 | 534240 | 3.8578 | |
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| 3.6904 | 1.03 | 610560 | 3.8512 | |
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| 3.6617 | 0.03 | 686880 | 3.8471 | |
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| 3.6355 | 1.03 | 763200 | 3.8440 | |
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| 3.6132 | 0.03 | 839520 | 3.8429 | |
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| 3.5978 | 1.03 | 915840 | 3.8428 | |
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| 3.5714 | 0.03 | 992160 | 3.8420 | |
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| 3.5492 | 1.03 | 1068480 | 3.8428 | |
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| 3.5363 | 0.03 | 1144800 | 3.8431 | |
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| 3.5302 | 1.03 | 1221120 | 3.8465 | |
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| 3.5177 | 0.03 | 1297440 | 3.8456 | |
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| 3.5018 | 1.03 | 1373760 | 3.8476 | |
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| 3.4902 | 0.03 | 1450080 | 3.8493 | |
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| 3.4786 | 1.03 | 1526400 | 3.8496 | |
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| 3.4687 | 0.03 | 1602720 | 3.8519 | |
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| 3.4584 | 0.03 | 1679040 | 3.8527 | |
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| 3.4511 | 1.03 | 1755360 | 3.8543 | |
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| 3.438 | 0.03 | 1831680 | 3.8550 | |
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| 3.4252 | 1.03 | 1908000 | 3.8553 | |
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| 3.4141 | 0.03 | 1984320 | 3.8586 | |
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| 3.4015 | 1.03 | 2060640 | 3.8594 | |
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| 3.394 | 0.03 | 2136960 | 3.8605 | |
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| 3.3779 | 1.03 | 2213280 | 3.8609 | |
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| 3.3627 | 0.03 | 2289600 | 3.8606 | |
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| 3.3563 | 1.03 | 2365920 | 3.8616 | |
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| 3.351 | 0.03 | 2442240 | 3.8636 | |
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| 3.3426 | 1.03 | 2518560 | 3.8638 | |
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| 3.3328 | 0.03 | 2594880 | 3.8644 | |
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| 3.326 | 0.03 | 2671200 | 3.8637 | |
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| 3.3184 | 1.03 | 2747520 | 3.8641 | |
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| 3.3097 | 0.03 | 2823840 | 3.8638 | |
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| 3.3052 | 1.03 | 2900160 | 3.8630 | |
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| 3.2991 | 0.03 | 2976480 | 3.8620 | |
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| 3.2906 | 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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