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README.md
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model-index:
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- name: text-pic-request-identifier
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# text-pic-request-identifier
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an
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It achieves the following results on the evaluation set:
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- Loss: 0.0015
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- Accuracy: 0.9996
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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### Training hyperparameters
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- Transformers 4.44.0
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- Pytorch 2.3.1
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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model-index:
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- name: text-pic-request-identifier
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results: []
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datasets:
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- andriadze/pic-text-requests-synth
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# text-pic-request-identifier
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an synthetic dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0015
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- Accuracy: 0.9996
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## Model description
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Model identifies if user is asking for a picture or a text.
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## Intended uses & limitations
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Intended use for chat applications to either route the message to a text model or an image model.
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Model will return 'pic' or 'text'
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## Training and evaluation data
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Model was trained on synthetic dataset consisting of around ~25k messages. Messages were generated by different LLM's including gpt4,gpto,gpt4o-mini,gpt3.5-turbo
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### Training hyperparameters
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- Transformers 4.44.0
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- Pytorch 2.3.1
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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