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---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: text-pic-request-identifier
results: []
datasets:
- andriadze/pic-text-requests-synth
widget:
- text: "I'd love to see that"
output:
- label: pic
score: 0.99
- label: text
score: 0.01
---
<!-- 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. -->
# text-pic-request-identifier
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/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
```python
from transformers import (
pipeline
)
picClassifier = pipeline("text-classification", model="andriadze/text-pic-request-identifier")
res = picClassifier('Can you send me a selfie?')
```
|