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-2
  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-2

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: 3.8616

## 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: 2
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2265        | 0.03  | 76320   | 4.1999          |
| 4.0215        | 1.03  | 152640  | 4.0292          |
| 3.9133        | 0.03  | 228960  | 3.9544          |
| 3.8411        | 1.03  | 305280  | 3.9125          |
| 3.7911        | 0.03  | 381600  | 3.8867          |
| 3.7507        | 1.03  | 457920  | 3.8704          |
| 3.7187        | 0.03  | 534240  | 3.8599          |
| 3.6904        | 1.03  | 610560  | 3.8540          |
| 3.6628        | 0.03  | 686880  | 3.8482          |
| 3.6345        | 1.03  | 763200  | 3.8461          |
| 3.6098        | 0.03  | 839520  | 3.8440          |
| 3.5897        | 1.03  | 915840  | 3.8438          |
| 3.572         | 0.03  | 992160  | 3.8438          |
| 3.5528        | 1.03  | 1068480 | 3.8441          |
| 3.5343        | 0.03  | 1144800 | 3.8445          |
| 3.5293        | 1.03  | 1221120 | 3.8463          |
| 3.5111        | 0.03  | 1297440 | 3.8466          |
| 3.499         | 1.03  | 1373760 | 3.8482          |
| 3.4854        | 0.03  | 1450080 | 3.8505          |
| 3.4724        | 0.03  | 1526400 | 3.8520          |
| 3.4654        | 1.03  | 1602720 | 3.8540          |
| 3.455         | 0.03  | 1679040 | 3.8551          |
| 3.4482        | 1.03  | 1755360 | 3.8560          |
| 3.4398        | 0.03  | 1831680 | 3.8573          |
| 3.4268        | 1.03  | 1908000 | 3.8586          |
| 3.4123        | 0.03  | 1984320 | 3.8589          |
| 3.3989        | 0.03  | 2060640 | 3.8610          |
| 3.3867        | 1.03  | 2136960 | 3.8618          |
| 3.3755        | 0.03  | 2213280 | 3.8635          |
| 3.364         | 1.03  | 2289600 | 3.8636          |
| 3.3533        | 0.03  | 2365920 | 3.8637          |
| 3.3544        | 0.03  | 2442240 | 3.8637          |
| 3.3405        | 1.03  | 2518560 | 3.8649          |
| 3.3325        | 0.03  | 2594880 | 3.8654          |
| 3.3219        | 1.03  | 2671200 | 3.8645          |
| 3.3145        | 0.03  | 2747520 | 3.8646          |
| 3.3084        | 1.03  | 2823840 | 3.8649          |
| 3.3026        | 0.03  | 2900160 | 3.8641          |
| 3.299         | 1.03  | 2976480 | 3.8632          |
| 3.2939        | 0.02  | 3052726 | 3.8616          |


### Framework versions

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