transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: det-adj-noun-transformer-1
  results: []
---

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# det-adj-noun-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: 3.8677

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2179        | 0.03  | 76320   | 4.2010          |
| 4.0153        | 1.03  | 152640  | 4.0309          |
| 3.9071        | 0.03  | 228960  | 3.9557          |
| 3.8411        | 1.03  | 305280  | 3.9141          |
| 3.7899        | 0.03  | 381600  | 3.8891          |
| 3.7523        | 1.03  | 457920  | 3.8726          |
| 3.7189        | 0.03  | 534240  | 3.8625          |
| 3.6871        | 1.03  | 610560  | 3.8552          |
| 3.6572        | 0.03  | 686880  | 3.8508          |
| 3.632         | 1.03  | 763200  | 3.8476          |
| 3.6086        | 0.03  | 839520  | 3.8459          |
| 3.5901        | 1.03  | 915840  | 3.8456          |
| 3.5753        | 0.03  | 992160  | 3.8450          |
| 3.5527        | 0.03  | 1068480 | 3.8468          |
| 3.5373        | 1.03  | 1144800 | 3.8470          |
| 3.5199        | 0.03  | 1221120 | 3.8478          |
| 3.5015        | 1.03  | 1297440 | 3.8490          |
| 3.4899        | 0.03  | 1373760 | 3.8510          |
| 3.4739        | 0.03  | 1450080 | 3.8521          |
| 3.4693        | 1.03  | 1526400 | 3.8533          |
| 3.4617        | 0.03  | 1602720 | 3.8546          |
| 3.4553        | 1.03  | 1679040 | 3.8568          |
| 3.4457        | 0.03  | 1755360 | 3.8580          |
| 3.4323        | 1.03  | 1831680 | 3.8589          |
| 3.4196        | 0.03  | 1908000 | 3.8606          |
| 3.4065        | 0.03  | 1984320 | 3.8634          |
| 3.3952        | 1.03  | 2060640 | 3.8638          |
| 3.3877        | 0.03  | 2136960 | 3.8656          |
| 3.3789        | 1.03  | 2213280 | 3.8666          |
| 3.3645        | 0.03  | 2289600 | 3.8680          |
| 3.3538        | 1.03  | 2365920 | 3.8695          |
| 3.3401        | 0.03  | 2442240 | 3.8689          |
| 3.3283        | 1.03  | 2518560 | 3.8690          |
| 3.321         | 0.03  | 2594880 | 3.8694          |
| 3.3106        | 0.03  | 2671200 | 3.8702          |
| 3.3082        | 1.03  | 2747520 | 3.8699          |
| 3.303         | 0.03  | 2823840 | 3.8704          |
| 3.2996        | 1.03  | 2900160 | 3.8693          |
| 3.2946        | 0.03  | 2976480 | 3.8686          |
| 3.285         | 1.02  | 3052726 | 3.8677          |


### Framework versions

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