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-3
  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-adj-noun-transformer-3

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: 3.8655

## 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: 3
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2123        | 0.03  | 76320   | 4.1969          |
| 4.0114        | 1.03  | 152640  | 4.0274          |
| 3.9036        | 0.03  | 228960  | 3.9528          |
| 3.8383        | 1.03  | 305280  | 3.9119          |
| 3.7887        | 0.03  | 381600  | 3.8862          |
| 3.7499        | 1.03  | 457920  | 3.8702          |
| 3.7171        | 0.03  | 534240  | 3.8599          |
| 3.6844        | 1.03  | 610560  | 3.8530          |
| 3.6549        | 0.03  | 686880  | 3.8492          |
| 3.6273        | 1.03  | 763200  | 3.8467          |
| 3.6054        | 0.03  | 839520  | 3.8458          |
| 3.5877        | 1.03  | 915840  | 3.8444          |
| 3.5719        | 0.03  | 992160  | 3.8447          |
| 3.5525        | 1.03  | 1068480 | 3.8449          |
| 3.5344        | 0.03  | 1144800 | 3.8451          |
| 3.5173        | 0.03  | 1221120 | 3.8471          |
| 3.4979        | 1.03  | 1297440 | 3.8483          |
| 3.4884        | 0.03  | 1373760 | 3.8493          |
| 3.4725        | 0.03  | 1450080 | 3.8516          |
| 3.4659        | 1.03  | 1526400 | 3.8530          |
| 3.4599        | 0.03  | 1602720 | 3.8552          |
| 3.4533        | 1.03  | 1679040 | 3.8563          |
| 3.4443        | 0.03  | 1755360 | 3.8585          |
| 3.4308        | 0.03  | 1831680 | 3.8589          |
| 3.4173        | 1.03  | 1908000 | 3.8606          |
| 3.4042        | 0.03  | 1984320 | 3.8613          |
| 3.3919        | 1.03  | 2060640 | 3.8630          |
| 3.3867        | 0.03  | 2136960 | 3.8647          |
| 3.3785        | 1.03  | 2213280 | 3.8660          |
| 3.3628        | 0.03  | 2289600 | 3.8663          |
| 3.3527        | 0.03  | 2365920 | 3.8675          |
| 3.3427        | 1.03  | 2442240 | 3.8677          |
| 3.3277        | 0.03  | 2518560 | 3.8695          |
| 3.3214        | 1.03  | 2594880 | 3.8694          |
| 3.3115        | 0.03  | 2671200 | 3.8687          |
| 3.309         | 1.03  | 2747520 | 3.8691          |
| 3.3035        | 0.03  | 2823840 | 3.8685          |
| 3.2981        | 1.03  | 2900160 | 3.8683          |
| 3.2946        | 0.03  | 2976480 | 3.8671          |
| 3.2878        | 1.02  | 3052726 | 3.8655          |


### Framework versions

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