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-0
  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-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: 3.8602

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2219        | 0.03  | 76320   | 4.1939          |
| 4.0171        | 1.03  | 152640  | 4.0249          |
| 3.9099        | 0.03  | 228960  | 3.9509          |
| 3.8379        | 1.03  | 305280  | 3.9097          |
| 3.7887        | 0.03  | 381600  | 3.8848          |
| 3.7486        | 0.03  | 457920  | 3.8681          |
| 3.7135        | 1.03  | 534240  | 3.8583          |
| 3.6868        | 0.03  | 610560  | 3.8516          |
| 3.6574        | 1.03  | 686880  | 3.8469          |
| 3.6311        | 0.03  | 763200  | 3.8440          |
| 3.6076        | 1.03  | 839520  | 3.8431          |
| 3.5866        | 0.03  | 915840  | 3.8422          |
| 3.5683        | 1.03  | 992160  | 3.8421          |
| 3.5492        | 0.03  | 1068480 | 3.8424          |
| 3.5304        | 1.03  | 1144800 | 3.8433          |
| 3.5315        | 0.03  | 1221120 | 3.8459          |
| 3.5103        | 1.03  | 1297440 | 3.8459          |
| 3.4974        | 0.03  | 1373760 | 3.8475          |
| 3.4858        | 1.03  | 1450080 | 3.8485          |
| 3.4723        | 0.03  | 1526400 | 3.8502          |
| 3.4644        | 1.03  | 1602720 | 3.8505          |
| 3.4557        | 0.03  | 1679040 | 3.8526          |
| 3.4466        | 1.03  | 1755360 | 3.8532          |
| 3.4389        | 0.03  | 1831680 | 3.8546          |
| 3.4245        | 1.03  | 1908000 | 3.8560          |
| 3.4119        | 0.03  | 1984320 | 3.8569          |
| 3.3964        | 1.03  | 2060640 | 3.8589          |
| 3.3868        | 0.03  | 2136960 | 3.8584          |
| 3.3744        | 1.03  | 2213280 | 3.8605          |
| 3.3638        | 0.03  | 2289600 | 3.8619          |
| 3.3497        | 1.03  | 2365920 | 3.8616          |
| 3.3566        | 0.03  | 2442240 | 3.8614          |
| 3.3404        | 1.03  | 2518560 | 3.8625          |
| 3.3326        | 0.03  | 2594880 | 3.8628          |
| 3.3241        | 1.03  | 2671200 | 3.8628          |
| 3.3149        | 0.03  | 2747520 | 3.8632          |
| 3.3085        | 1.03  | 2823840 | 3.8625          |
| 3.3024        | 0.03  | 2900160 | 3.8626          |
| 3.2978        | 1.03  | 2976480 | 3.8610          |
| 3.2933        | 0.02  | 3052726 | 3.8602          |


### Framework versions

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