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smol_llama-101M-midjourney-messages

Given a 'partial prompt' for a text2image model, this generates additional relevant text to include for a full prompt.

example

dalle3:

image/png

Model description

This model is a fine-tuned version of BEE-spoke-data/smol_llama-101M-GQA on the pszemraj/midjourney-messages-cleaned dataset. It achieves the following results on the evaluation set:

  • Loss: 2.8431
  • Accuracy: 0.4682

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.00025
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 17056
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
  • lr_scheduler_type: inverse_sqrt
  • lr_scheduler_warmup_ratio: 0.05
  • num_epochs: 1.0
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Safetensors
Model size
101M params
Tensor type
F32
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Finetuned from

Dataset used to train BEE-spoke-data/smol_llama-101M-midjourney-messages

Space using BEE-spoke-data/smol_llama-101M-midjourney-messages 1