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---
tags:
- generated_from_trainer
model-index:
- name: npi-sim-ques-transformer-3
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-transformer-3
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: 3.8602
## 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: 3
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2287 | 0.03 | 76320 | 4.1911 |
| 4.0243 | 1.03 | 152640 | 4.0231 |
| 3.9212 | 0.03 | 228960 | 3.9499 |
| 3.8501 | 1.03 | 305280 | 3.9095 |
| 3.7982 | 0.03 | 381600 | 3.8842 |
| 3.7556 | 1.03 | 457920 | 3.8682 |
| 3.7228 | 0.03 | 534240 | 3.8578 |
| 3.6904 | 1.03 | 610560 | 3.8512 |
| 3.6617 | 0.03 | 686880 | 3.8471 |
| 3.6355 | 1.03 | 763200 | 3.8440 |
| 3.6132 | 0.03 | 839520 | 3.8429 |
| 3.5978 | 1.03 | 915840 | 3.8428 |
| 3.5714 | 0.03 | 992160 | 3.8420 |
| 3.5492 | 1.03 | 1068480 | 3.8428 |
| 3.5363 | 0.03 | 1144800 | 3.8431 |
| 3.5302 | 1.03 | 1221120 | 3.8465 |
| 3.5177 | 0.03 | 1297440 | 3.8456 |
| 3.5018 | 1.03 | 1373760 | 3.8476 |
| 3.4902 | 0.03 | 1450080 | 3.8493 |
| 3.4786 | 1.03 | 1526400 | 3.8496 |
| 3.4687 | 0.03 | 1602720 | 3.8519 |
| 3.4584 | 0.03 | 1679040 | 3.8527 |
| 3.4511 | 1.03 | 1755360 | 3.8543 |
| 3.438 | 0.03 | 1831680 | 3.8550 |
| 3.4252 | 1.03 | 1908000 | 3.8553 |
| 3.4141 | 0.03 | 1984320 | 3.8586 |
| 3.4015 | 1.03 | 2060640 | 3.8594 |
| 3.394 | 0.03 | 2136960 | 3.8605 |
| 3.3779 | 1.03 | 2213280 | 3.8609 |
| 3.3627 | 0.03 | 2289600 | 3.8606 |
| 3.3563 | 1.03 | 2365920 | 3.8616 |
| 3.351 | 0.03 | 2442240 | 3.8636 |
| 3.3426 | 1.03 | 2518560 | 3.8638 |
| 3.3328 | 0.03 | 2594880 | 3.8644 |
| 3.326 | 0.03 | 2671200 | 3.8637 |
| 3.3184 | 1.03 | 2747520 | 3.8641 |
| 3.3097 | 0.03 | 2823840 | 3.8638 |
| 3.3052 | 1.03 | 2900160 | 3.8630 |
| 3.2991 | 0.03 | 2976480 | 3.8620 |
| 3.2906 | 0.02 | 3052726 | 3.8602 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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