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-4
  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-4

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: 3.8598

## 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: 4
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2235        | 0.03  | 76320   | 4.1957          |
| 4.019         | 1.03  | 152640  | 4.0271          |
| 3.9115        | 0.03  | 228960  | 3.9505          |
| 3.8389        | 1.03  | 305280  | 3.9099          |
| 3.7889        | 0.03  | 381600  | 3.8846          |
| 3.749         | 1.03  | 457920  | 3.8686          |
| 3.7151        | 0.03  | 534240  | 3.8581          |
| 3.6879        | 1.03  | 610560  | 3.8510          |
| 3.6587        | 0.03  | 686880  | 3.8468          |
| 3.6325        | 1.03  | 763200  | 3.8441          |
| 3.6082        | 0.03  | 839520  | 3.8417          |
| 3.5868        | 1.03  | 915840  | 3.8415          |
| 3.5695        | 0.03  | 992160  | 3.8415          |
| 3.5516        | 1.03  | 1068480 | 3.8433          |
| 3.5316        | 0.03  | 1144800 | 3.8432          |
| 3.5291        | 1.03  | 1221120 | 3.8443          |
| 3.5091        | 0.03  | 1297440 | 3.8459          |
| 3.4953        | 1.03  | 1373760 | 3.8458          |
| 3.4831        | 0.03  | 1450080 | 3.8475          |
| 3.4707        | 1.03  | 1526400 | 3.8479          |
| 3.4629        | 0.03  | 1602720 | 3.8500          |
| 3.4549        | 0.03  | 1679040 | 3.8510          |
| 3.4461        | 1.03  | 1755360 | 3.8524          |
| 3.4385        | 0.03  | 1831680 | 3.8544          |
| 3.426         | 1.03  | 1908000 | 3.8561          |
| 3.4132        | 0.03  | 1984320 | 3.8569          |
| 3.399         | 1.03  | 2060640 | 3.8577          |
| 3.3863        | 0.03  | 2136960 | 3.8583          |
| 3.376         | 1.03  | 2213280 | 3.8598          |
| 3.3638        | 0.03  | 2289600 | 3.8609          |
| 3.3519        | 1.03  | 2365920 | 3.8610          |
| 3.3527        | 0.03  | 2442240 | 3.8618          |
| 3.338         | 1.03  | 2518560 | 3.8625          |
| 3.3299        | 0.03  | 2594880 | 3.8628          |
| 3.3204        | 0.03  | 2671200 | 3.8632          |
| 3.3114        | 1.03  | 2747520 | 3.8629          |
| 3.3075        | 0.03  | 2823840 | 3.8630          |
| 3.3027        | 1.03  | 2900160 | 3.8619          |
| 3.2984        | 0.03  | 2976480 | 3.8611          |
| 3.2935        | 1.02  | 3052726 | 3.8598          |


### Framework versions

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