transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: npi-sim-ques-transformer-1
  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-1

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: 3.8619

## 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: 1
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2375        | 0.03  | 76320   | 4.1971          |
| 4.0282        | 1.03  | 152640  | 4.0283          |
| 3.9236        | 0.03  | 228960  | 3.9527          |
| 3.8528        | 1.03  | 305280  | 3.9116          |
| 3.7989        | 0.03  | 381600  | 3.8860          |
| 3.7596        | 0.03  | 457920  | 3.8695          |
| 3.725         | 1.03  | 534240  | 3.8590          |
| 3.6914        | 0.03  | 610560  | 3.8515          |
| 3.663         | 1.03  | 686880  | 3.8472          |
| 3.6364        | 0.03  | 763200  | 3.8443          |
| 3.6133        | 1.03  | 839520  | 3.8424          |
| 3.5958        | 0.03  | 915840  | 3.8413          |
| 3.5717        | 1.03  | 992160  | 3.8403          |
| 3.5508        | 0.03  | 1068480 | 3.8411          |
| 3.5374        | 1.03  | 1144800 | 3.8404          |
| 3.5307        | 0.03  | 1221120 | 3.8424          |
| 3.5136        | 1.03  | 1297440 | 3.8437          |
| 3.5008        | 0.03  | 1373760 | 3.8459          |
| 3.4902        | 1.03  | 1450080 | 3.8467          |
| 3.4789        | 0.03  | 1526400 | 3.8487          |
| 3.469         | 1.03  | 1602720 | 3.8494          |
| 3.46          | 0.03  | 1679040 | 3.8510          |
| 3.4508        | 1.03  | 1755360 | 3.8526          |
| 3.437         | 0.03  | 1831680 | 3.8534          |
| 3.4233        | 1.03  | 1908000 | 3.8546          |
| 3.4119        | 0.03  | 1984320 | 3.8562          |
| 3.3993        | 1.03  | 2060640 | 3.8578          |
| 3.3929        | 0.03  | 2136960 | 3.8581          |
| 3.3765        | 1.03  | 2213280 | 3.8606          |
| 3.3611        | 0.03  | 2289600 | 3.8612          |
| 3.3543        | 1.03  | 2365920 | 3.8624          |
| 3.3543        | 0.03  | 2442240 | 3.8624          |
| 3.3435        | 1.03  | 2518560 | 3.8634          |
| 3.3332        | 0.03  | 2594880 | 3.8640          |
| 3.3239        | 1.03  | 2671200 | 3.8647          |
| 3.318         | 0.03  | 2747520 | 3.8650          |
| 3.3101        | 1.03  | 2823840 | 3.8644          |
| 3.3052        | 0.03  | 2900160 | 3.8643          |
| 3.3           | 1.03  | 2976480 | 3.8636          |
| 3.2909        | 0.02  | 3052726 | 3.8619          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
