text-pic-request-identifier

This model is a fine-tuned version of distilbert/distilbert-base-uncased on an synthetic dataset.

It achieves the following results on the evaluation set:

• Loss: 0.0015
• Accuracy: 0.9996

Model description

Model identifies if user is asking for a picture or a text.

Intended uses & limitations

Intended use for chat applications to either route the message to a text model or an image model.

Model will return 'pic' or 'text'

Training and evaluation data

Model was trained on synthetic dataset consisting of around ~25k messages. Messages were generated by different LLM's including gpt4,gpt4o,gpt4o-mini,gpt3.5-turbo

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0391	1.0	844	0.0021	0.9996
0.0021	2.0	1688	0.0015	0.9996

Framework versions

• Transformers 4.44.0
• Pytorch 2.3.1
• Datasets 2.21.0
• Tokenizers 0.19.1

How to use

from transformers import (
    pipeline
)

picClassifier = pipeline("text-classification", model="andriadze/text-pic-request-identifier")
res = picClassifier('Can you send me a selfie?')