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-2
  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-2

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: 3.8596

## 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: 2
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.236         | 0.03  | 76320   | 4.1966          |
| 4.0278        | 1.03  | 152640  | 4.0278          |
| 3.9233        | 0.03  | 228960  | 3.9528          |
| 3.8525        | 1.03  | 305280  | 3.9101          |
| 3.7996        | 0.03  | 381600  | 3.8852          |
| 3.76          | 0.03  | 457920  | 3.8693          |
| 3.7243        | 1.03  | 534240  | 3.8584          |
| 3.6919        | 0.03  | 610560  | 3.8520          |
| 3.6631        | 1.03  | 686880  | 3.8469          |
| 3.6379        | 0.03  | 763200  | 3.8443          |
| 3.6153        | 1.03  | 839520  | 3.8424          |
| 3.5968        | 0.03  | 915840  | 3.8410          |
| 3.5729        | 1.03  | 992160  | 3.8428          |
| 3.5536        | 0.03  | 1068480 | 3.8435          |
| 3.5392        | 1.03  | 1144800 | 3.8427          |
| 3.5331        | 0.03  | 1221120 | 3.8431          |
| 3.519         | 1.03  | 1297440 | 3.8451          |
| 3.5032        | 0.03  | 1373760 | 3.8465          |
| 3.4931        | 1.03  | 1450080 | 3.8464          |
| 3.4808        | 0.03  | 1526400 | 3.8482          |
| 3.471         | 1.03  | 1602720 | 3.8491          |
| 3.4641        | 0.03  | 1679040 | 3.8513          |
| 3.454         | 0.03  | 1755360 | 3.8520          |
| 3.4402        | 1.03  | 1831680 | 3.8531          |
| 3.4275        | 0.03  | 1908000 | 3.8550          |
| 3.4157        | 1.03  | 1984320 | 3.8553          |
| 3.406         | 0.03  | 2060640 | 3.8571          |
| 3.395         | 1.03  | 2136960 | 3.8574          |
| 3.3784        | 0.03  | 2213280 | 3.8600          |
| 3.3662        | 1.03  | 2289600 | 3.8591          |
| 3.3576        | 0.03  | 2365920 | 3.8592          |
| 3.355         | 1.03  | 2442240 | 3.8609          |
| 3.3466        | 0.03  | 2518560 | 3.8618          |
| 3.3352        | 1.03  | 2594880 | 3.8626          |
| 3.3291        | 0.03  | 2671200 | 3.8615          |
| 3.3208        | 1.03  | 2747520 | 3.8622          |
| 3.3146        | 0.03  | 2823840 | 3.8622          |
| 3.3096        | 0.03  | 2900160 | 3.8620          |
| 3.3031        | 0.03  | 2976480 | 3.8603          |
| 3.2941        | 1.02  | 3052726 | 3.8596          |


### Framework versions

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