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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-lstm-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-sim-ques-lstm-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: 3.9706 |
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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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| 4.795 | 0.03 | 76320 | 4.7508 | |
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| 4.5086 | 1.03 | 152640 | 4.4718 | |
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| 4.3698 | 0.03 | 228960 | 4.3371 | |
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| 4.2801 | 1.03 | 305280 | 4.2548 | |
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| 4.2165 | 0.03 | 381600 | 4.1983 | |
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| 4.1705 | 1.03 | 457920 | 4.1573 | |
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| 4.1318 | 0.03 | 534240 | 4.1267 | |
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| 4.0985 | 1.03 | 610560 | 4.1022 | |
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| 4.072 | 0.03 | 686880 | 4.0828 | |
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| 4.046 | 1.03 | 763200 | 4.0677 | |
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| 4.026 | 0.03 | 839520 | 4.0549 | |
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| 4.0104 | 0.03 | 915840 | 4.0437 | |
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| 3.99 | 1.03 | 992160 | 4.0337 | |
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| 3.9692 | 0.03 | 1068480 | 4.0255 | |
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| 3.9596 | 1.03 | 1144800 | 4.0182 | |
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| 3.9545 | 0.03 | 1221120 | 4.0137 | |
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| 3.9443 | 1.03 | 1297440 | 4.0087 | |
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| 3.9322 | 0.03 | 1373760 | 4.0039 | |
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| 3.9268 | 1.03 | 1450080 | 4.0009 | |
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| 3.9212 | 0.03 | 1526400 | 3.9974 | |
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| 3.9161 | 1.03 | 1602720 | 3.9938 | |
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| 3.9085 | 0.03 | 1679040 | 3.9904 | |
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| 3.9057 | 1.03 | 1755360 | 3.9875 | |
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| 3.8972 | 0.03 | 1831680 | 3.9857 | |
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| 3.8917 | 1.03 | 1908000 | 3.9838 | |
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| 3.8834 | 0.03 | 1984320 | 3.9823 | |
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| 3.8799 | 1.03 | 2060640 | 3.9807 | |
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| 3.8765 | 0.03 | 2136960 | 3.9792 | |
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| 3.8647 | 1.03 | 2213280 | 3.9777 | |
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| 3.8579 | 0.03 | 2289600 | 3.9768 | |
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| 3.856 | 1.03 | 2365920 | 3.9756 | |
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| 3.8577 | 0.03 | 2442240 | 3.9747 | |
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| 3.8545 | 0.03 | 2518560 | 3.9738 | |
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| 3.8493 | 1.03 | 2594880 | 3.9729 | |
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| 3.8506 | 0.03 | 2671200 | 3.9725 | |
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| 3.849 | 1.03 | 2747520 | 3.9719 | |
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| 3.8483 | 0.03 | 2823840 | 3.9715 | |
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| 3.8494 | 1.03 | 2900160 | 3.9712 | |
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| 3.8489 | 0.03 | 2976480 | 3.9708 | |
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| 3.8458 | 0.02 | 3052726 | 3.9706 | |
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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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