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---
tags:
- generated_from_trainer
model-index:
- name: npi-sim-ques-transformer-4
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-4
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: 3.8610
## 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: 4
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2392 | 0.03 | 76320 | 4.1993 |
| 4.0323 | 1.03 | 152640 | 4.0296 |
| 3.9279 | 0.03 | 228960 | 3.9548 |
| 3.8561 | 1.03 | 305280 | 3.9138 |
| 3.8036 | 0.03 | 381600 | 3.8881 |
| 3.7625 | 0.03 | 457920 | 3.8710 |
| 3.7285 | 1.03 | 534240 | 3.8606 |
| 3.6956 | 0.03 | 610560 | 3.8533 |
| 3.6668 | 1.03 | 686880 | 3.8490 |
| 3.6419 | 0.03 | 763200 | 3.8457 |
| 3.6185 | 1.03 | 839520 | 3.8446 |
| 3.6021 | 0.03 | 915840 | 3.8438 |
| 3.5781 | 1.03 | 992160 | 3.8423 |
| 3.5567 | 0.03 | 1068480 | 3.8441 |
| 3.5429 | 1.03 | 1144800 | 3.8441 |
| 3.5382 | 0.03 | 1221120 | 3.8446 |
| 3.5224 | 1.03 | 1297440 | 3.8456 |
| 3.5064 | 0.03 | 1373760 | 3.8477 |
| 3.4963 | 1.03 | 1450080 | 3.8499 |
| 3.4863 | 0.03 | 1526400 | 3.8503 |
| 3.4768 | 0.03 | 1602720 | 3.8510 |
| 3.4658 | 1.03 | 1679040 | 3.8527 |
| 3.4577 | 0.03 | 1755360 | 3.8541 |
| 3.4436 | 1.03 | 1831680 | 3.8556 |
| 3.4314 | 0.03 | 1908000 | 3.8570 |
| 3.4192 | 1.03 | 1984320 | 3.8581 |
| 3.4091 | 0.03 | 2060640 | 3.8579 |
| 3.4012 | 1.03 | 2136960 | 3.8601 |
| 3.3857 | 0.03 | 2213280 | 3.8605 |
| 3.3695 | 1.03 | 2289600 | 3.8603 |
| 3.3632 | 0.03 | 2365920 | 3.8624 |
| 3.3599 | 1.03 | 2442240 | 3.8624 |
| 3.3498 | 0.03 | 2518560 | 3.8641 |
| 3.3379 | 1.03 | 2594880 | 3.8631 |
| 3.3315 | 0.03 | 2671200 | 3.8640 |
| 3.3251 | 0.03 | 2747520 | 3.8637 |
| 3.3163 | 1.03 | 2823840 | 3.8639 |
| 3.3132 | 0.03 | 2900160 | 3.8628 |
| 3.3082 | 1.03 | 2976480 | 3.8619 |
| 3.2988 | 0.02 | 3052726 | 3.8610 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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