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-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-only-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: 3.8598

## 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: 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2223        | 0.03  | 76320   | 4.1964          |
| 4.0204        | 1.03  | 152640  | 4.0268          |
| 3.912         | 0.03  | 228960  | 3.9523          |
| 3.8408        | 1.03  | 305280  | 3.9111          |
| 3.7917        | 0.03  | 381600  | 3.8861          |
| 3.7492        | 1.03  | 457920  | 3.8700          |
| 3.7159        | 0.03  | 534240  | 3.8608          |
| 3.6895        | 1.03  | 610560  | 3.8526          |
| 3.6619        | 0.03  | 686880  | 3.8481          |
| 3.6343        | 1.03  | 763200  | 3.8460          |
| 3.61          | 0.03  | 839520  | 3.8443          |
| 3.5902        | 1.03  | 915840  | 3.8437          |
| 3.571         | 0.03  | 992160  | 3.8429          |
| 3.5525        | 1.03  | 1068480 | 3.8434          |
| 3.5337        | 0.03  | 1144800 | 3.8455          |
| 3.5324        | 1.03  | 1221120 | 3.8451          |
| 3.5107        | 0.03  | 1297440 | 3.8464          |
| 3.4996        | 1.03  | 1373760 | 3.8468          |
| 3.4875        | 0.03  | 1450080 | 3.8484          |
| 3.475         | 1.03  | 1526400 | 3.8496          |
| 3.4666        | 0.03  | 1602720 | 3.8495          |
| 3.4571        | 1.03  | 1679040 | 3.8516          |
| 3.4483        | 0.03  | 1755360 | 3.8525          |
| 3.4417        | 1.03  | 1831680 | 3.8534          |
| 3.4295        | 0.03  | 1908000 | 3.8552          |
| 3.4152        | 1.03  | 1984320 | 3.8558          |
| 3.3995        | 0.03  | 2060640 | 3.8572          |
| 3.3901        | 1.03  | 2136960 | 3.8578          |
| 3.3801        | 0.03  | 2213280 | 3.8582          |
| 3.367         | 1.03  | 2289600 | 3.8592          |
| 3.3558        | 0.03  | 2365920 | 3.8611          |
| 3.3561        | 1.03  | 2442240 | 3.8599          |
| 3.3408        | 0.03  | 2518560 | 3.8615          |
| 3.334         | 1.03  | 2594880 | 3.8621          |
| 3.3245        | 0.03  | 2671200 | 3.8619          |
| 3.317         | 0.03  | 2747520 | 3.8619          |
| 3.3107        | 1.03  | 2823840 | 3.8615          |
| 3.3063        | 0.03  | 2900160 | 3.8617          |
| 3.3022        | 1.03  | 2976480 | 3.8610          |
| 3.2972        | 0.02  | 3052726 | 3.8598          |


### Framework versions

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