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-noun-transformer-1
  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. -->

# det-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: 3.8585

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2343        | 0.03  | 76320   | 4.1993          |
| 4.0271        | 1.03  | 152640  | 4.0294          |
| 3.9144        | 0.03  | 228960  | 3.9535          |
| 3.8471        | 1.03  | 305280  | 3.9115          |
| 3.7981        | 0.03  | 381600  | 3.8870          |
| 3.7583        | 0.03  | 457920  | 3.8698          |
| 3.7222        | 1.03  | 534240  | 3.8604          |
| 3.6882        | 0.03  | 610560  | 3.8529          |
| 3.6599        | 1.03  | 686880  | 3.8485          |
| 3.6343        | 0.03  | 763200  | 3.8457          |
| 3.6135        | 1.03  | 839520  | 3.8440          |
| 3.5948        | 0.03  | 915840  | 3.8425          |
| 3.5743        | 1.03  | 992160  | 3.8442          |
| 3.5511        | 0.03  | 1068480 | 3.8439          |
| 3.5376        | 0.03  | 1144800 | 3.8450          |
| 3.5294        | 1.03  | 1221120 | 3.8457          |
| 3.5143        | 0.03  | 1297440 | 3.8467          |
| 3.5025        | 1.03  | 1373760 | 3.8471          |
| 3.4849        | 0.03  | 1450080 | 3.8476          |
| 3.4791        | 1.03  | 1526400 | 3.8488          |
| 3.4695        | 0.03  | 1602720 | 3.8501          |
| 3.4611        | 1.03  | 1679040 | 3.8524          |
| 3.4519        | 0.03  | 1755360 | 3.8529          |
| 3.4374        | 1.03  | 1831680 | 3.8531          |
| 3.4246        | 0.03  | 1908000 | 3.8550          |
| 3.4121        | 1.03  | 1984320 | 3.8564          |
| 3.4027        | 0.03  | 2060640 | 3.8581          |
| 3.3914        | 1.03  | 2136960 | 3.8586          |
| 3.3806        | 0.03  | 2213280 | 3.8592          |
| 3.3654        | 1.03  | 2289600 | 3.8603          |
| 3.3565        | 0.03  | 2365920 | 3.8613          |
| 3.3567        | 1.03  | 2442240 | 3.8613          |
| 3.3433        | 0.03  | 2518560 | 3.8627          |
| 3.3344        | 1.03  | 2594880 | 3.8624          |
| 3.3225        | 0.03  | 2671200 | 3.8619          |
| 3.318         | 1.03  | 2747520 | 3.8625          |
| 3.3163        | 0.03  | 2823840 | 3.8618          |
| 3.3096        | 1.03  | 2900160 | 3.8611          |
| 3.3013        | 0.03  | 2976480 | 3.8599          |
| 3.2919        | 1.02  | 3052726 | 3.8585          |


### Framework versions

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