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---
tags:
- generated_from_trainer
model-index:
- name: npi-sim-ques-lstm-0
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# npi-sim-ques-lstm-0
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9706
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 3052726
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.795 | 0.03 | 76320 | 4.7508 |
| 4.5086 | 1.03 | 152640 | 4.4718 |
| 4.3698 | 0.03 | 228960 | 4.3371 |
| 4.2801 | 1.03 | 305280 | 4.2548 |
| 4.2165 | 0.03 | 381600 | 4.1983 |
| 4.1705 | 1.03 | 457920 | 4.1573 |
| 4.1318 | 0.03 | 534240 | 4.1267 |
| 4.0985 | 1.03 | 610560 | 4.1022 |
| 4.072 | 0.03 | 686880 | 4.0828 |
| 4.046 | 1.03 | 763200 | 4.0677 |
| 4.026 | 0.03 | 839520 | 4.0549 |
| 4.0104 | 0.03 | 915840 | 4.0437 |
| 3.99 | 1.03 | 992160 | 4.0337 |
| 3.9692 | 0.03 | 1068480 | 4.0255 |
| 3.9596 | 1.03 | 1144800 | 4.0182 |
| 3.9545 | 0.03 | 1221120 | 4.0137 |
| 3.9443 | 1.03 | 1297440 | 4.0087 |
| 3.9322 | 0.03 | 1373760 | 4.0039 |
| 3.9268 | 1.03 | 1450080 | 4.0009 |
| 3.9212 | 0.03 | 1526400 | 3.9974 |
| 3.9161 | 1.03 | 1602720 | 3.9938 |
| 3.9085 | 0.03 | 1679040 | 3.9904 |
| 3.9057 | 1.03 | 1755360 | 3.9875 |
| 3.8972 | 0.03 | 1831680 | 3.9857 |
| 3.8917 | 1.03 | 1908000 | 3.9838 |
| 3.8834 | 0.03 | 1984320 | 3.9823 |
| 3.8799 | 1.03 | 2060640 | 3.9807 |
| 3.8765 | 0.03 | 2136960 | 3.9792 |
| 3.8647 | 1.03 | 2213280 | 3.9777 |
| 3.8579 | 0.03 | 2289600 | 3.9768 |
| 3.856 | 1.03 | 2365920 | 3.9756 |
| 3.8577 | 0.03 | 2442240 | 3.9747 |
| 3.8545 | 0.03 | 2518560 | 3.9738 |
| 3.8493 | 1.03 | 2594880 | 3.9729 |
| 3.8506 | 0.03 | 2671200 | 3.9725 |
| 3.849 | 1.03 | 2747520 | 3.9719 |
| 3.8483 | 0.03 | 2823840 | 3.9715 |
| 3.8494 | 1.03 | 2900160 | 3.9712 |
| 3.8489 | 0.03 | 2976480 | 3.9708 |
| 3.8458 | 0.02 | 3052726 | 3.9706 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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