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-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
