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-only-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-only-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: 3.8634

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.224         | 0.03  | 76320   | 4.1960          |
| 4.021         | 1.03  | 152640  | 4.0259          |
| 3.9128        | 0.03  | 228960  | 3.9511          |
| 3.8414        | 1.03  | 305280  | 3.9098          |
| 3.7915        | 0.03  | 381600  | 3.8843          |
| 3.7489        | 1.03  | 457920  | 3.8684          |
| 3.7172        | 0.03  | 534240  | 3.8578          |
| 3.6886        | 1.03  | 610560  | 3.8503          |
| 3.6592        | 0.03  | 686880  | 3.8463          |
| 3.635         | 1.03  | 763200  | 3.8440          |
| 3.6089        | 0.03  | 839520  | 3.8414          |
| 3.5858        | 1.03  | 915840  | 3.8406          |
| 3.5679        | 0.03  | 992160  | 3.8411          |
| 3.5481        | 1.03  | 1068480 | 3.8400          |
| 3.5304        | 0.03  | 1144800 | 3.8423          |
| 3.5273        | 1.03  | 1221120 | 3.8431          |
| 3.5084        | 0.03  | 1297440 | 3.8436          |
| 3.4931        | 1.03  | 1373760 | 3.8460          |
| 3.4817        | 0.03  | 1450080 | 3.8460          |
| 3.4695        | 1.03  | 1526400 | 3.8482          |
| 3.4604        | 0.03  | 1602720 | 3.8497          |
| 3.451         | 0.03  | 1679040 | 3.8507          |
| 3.4443        | 1.03  | 1755360 | 3.8523          |
| 3.4359        | 0.03  | 1831680 | 3.8535          |
| 3.4238        | 1.03  | 1908000 | 3.8556          |
| 3.4097        | 0.03  | 1984320 | 3.8569          |
| 3.3949        | 1.03  | 2060640 | 3.8573          |
| 3.3833        | 0.03  | 2136960 | 3.8597          |
| 3.373         | 1.03  | 2213280 | 3.8602          |
| 3.3626        | 0.03  | 2289600 | 3.8611          |
| 3.3495        | 1.03  | 2365920 | 3.8634          |
| 3.3497        | 0.03  | 2442240 | 3.8635          |
| 3.3351        | 1.03  | 2518560 | 3.8644          |
| 3.3289        | 0.03  | 2594880 | 3.8649          |
| 3.3182        | 1.03  | 2671200 | 3.8660          |
| 3.3091        | 0.03  | 2747520 | 3.8667          |
| 3.3031        | 1.03  | 2823840 | 3.8655          |
| 3.2978        | 0.03  | 2900160 | 3.8657          |
| 3.2938        | 0.03  | 2976480 | 3.8646          |
| 3.2916        | 0.02  | 3052726 | 3.8634          |


### Framework versions

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