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-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. -->

# det-noun-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: 3.8634

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2261        | 0.03  | 76320   | 4.1950          |
| 4.0212        | 1.03  | 152640  | 4.0265          |
| 3.9102        | 0.03  | 228960  | 3.9526          |
| 3.8427        | 0.03  | 305280  | 3.9115          |
| 3.795         | 1.03  | 381600  | 3.8861          |
| 3.7548        | 0.03  | 457920  | 3.8696          |
| 3.7195        | 1.03  | 534240  | 3.8594          |
| 3.6856        | 0.03  | 610560  | 3.8520          |
| 3.6564        | 1.03  | 686880  | 3.8480          |
| 3.6303        | 0.03  | 763200  | 3.8447          |
| 3.6105        | 1.03  | 839520  | 3.8437          |
| 3.5889        | 0.03  | 915840  | 3.8429          |
| 3.5707        | 1.03  | 992160  | 3.8434          |
| 3.5487        | 0.03  | 1068480 | 3.8440          |
| 3.5351        | 0.03  | 1144800 | 3.8453          |
| 3.5265        | 1.03  | 1221120 | 3.8438          |
| 3.5122        | 0.03  | 1297440 | 3.8459          |
| 3.4959        | 1.03  | 1373760 | 3.8474          |
| 3.4808        | 0.03  | 1450080 | 3.8487          |
| 3.4728        | 1.03  | 1526400 | 3.8513          |
| 3.4664        | 0.03  | 1602720 | 3.8521          |
| 3.4569        | 1.03  | 1679040 | 3.8540          |
| 3.4475        | 0.03  | 1755360 | 3.8547          |
| 3.4339        | 1.03  | 1831680 | 3.8568          |
| 3.4207        | 0.03  | 1908000 | 3.8577          |
| 3.4058        | 1.03  | 1984320 | 3.8597          |
| 3.3997        | 0.03  | 2060640 | 3.8610          |
| 3.3888        | 0.03  | 2136960 | 3.8615          |
| 3.3777        | 1.03  | 2213280 | 3.8630          |
| 3.3598        | 0.03  | 2289600 | 3.8639          |
| 3.352         | 1.03  | 2365920 | 3.8639          |
| 3.3502        | 0.03  | 2442240 | 3.8657          |
| 3.3364        | 1.03  | 2518560 | 3.8667          |
| 3.3289        | 0.03  | 2594880 | 3.8667          |
| 3.3164        | 0.03  | 2671200 | 3.8668          |
| 3.311         | 0.03  | 2747520 | 3.8669          |
| 3.3087        | 1.03  | 2823840 | 3.8664          |
| 3.3031        | 0.03  | 2900160 | 3.8660          |
| 3.2963        | 0.03  | 2976480 | 3.8651          |
| 3.286         | 0.02  | 3052726 | 3.8634          |


### Framework versions

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