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-0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# npi-sim-ques-transformer-0

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: 3.8645

## 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: 0
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2355        | 0.03  | 76320   | 4.1957          |
| 4.0283        | 1.03  | 152640  | 4.0271          |
| 3.9226        | 0.03  | 228960  | 3.9523          |
| 3.8525        | 1.03  | 305280  | 3.9112          |
| 3.7987        | 0.03  | 381600  | 3.8874          |
| 3.7585        | 0.03  | 457920  | 3.8707          |
| 3.7256        | 1.03  | 534240  | 3.8600          |
| 3.6925        | 0.03  | 610560  | 3.8526          |
| 3.6629        | 1.03  | 686880  | 3.8489          |
| 3.638         | 0.03  | 763200  | 3.8461          |
| 3.6149        | 1.03  | 839520  | 3.8438          |
| 3.5961        | 0.03  | 915840  | 3.8432          |
| 3.5736        | 1.03  | 992160  | 3.8439          |
| 3.5512        | 0.03  | 1068480 | 3.8437          |
| 3.5368        | 1.03  | 1144800 | 3.8446          |
| 3.5316        | 0.03  | 1221120 | 3.8466          |
| 3.5167        | 1.03  | 1297440 | 3.8475          |
| 3.5006        | 0.03  | 1373760 | 3.8494          |
| 3.4911        | 1.03  | 1450080 | 3.8496          |
| 3.4783        | 0.03  | 1526400 | 3.8520          |
| 3.4688        | 1.03  | 1602720 | 3.8533          |
| 3.4614        | 0.03  | 1679040 | 3.8556          |
| 3.4521        | 0.03  | 1755360 | 3.8569          |
| 3.439         | 1.03  | 1831680 | 3.8583          |
| 3.4277        | 0.03  | 1908000 | 3.8584          |
| 3.4129        | 1.03  | 1984320 | 3.8603          |
| 3.4039        | 0.03  | 2060640 | 3.8618          |
| 3.3952        | 1.03  | 2136960 | 3.8636          |
| 3.38          | 0.03  | 2213280 | 3.8643          |
| 3.3646        | 1.03  | 2289600 | 3.8643          |
| 3.358         | 0.03  | 2365920 | 3.8663          |
| 3.3554        | 1.03  | 2442240 | 3.8673          |
| 3.3451        | 0.03  | 2518560 | 3.8676          |
| 3.3336        | 1.03  | 2594880 | 3.8677          |
| 3.3289        | 0.03  | 2671200 | 3.8682          |
| 3.3191        | 1.03  | 2747520 | 3.8673          |
| 3.3109        | 0.03  | 2823840 | 3.8671          |
| 3.3068        | 1.03  | 2900160 | 3.8667          |
| 3.3028        | 0.03  | 2976480 | 3.8658          |
| 3.2929        | 0.02  | 3052726 | 3.8645          |


### Framework versions

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