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chimbiwide/Gemma3NPC-filtered
Gemma3NPC-filtered is a image-text-to-text model from chimbiwide. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
We trained this model as a rank-12 LoRA adapter with one epoch over pippafiltered using a 40GB vRAM A100 in Google Colab. For this run, we employed a learning rate of 2e-5 and a total batch size of 1 and gradient accu…
Downloads · 30 days
15
10% of all-time downloads
All-time downloads
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From the Hugging Face model README
We trained this model as a rank-12 LoRA adapter with one epoch over pippa_filtered using a 40GB vRAM A100 in Google Colab. For this run, we employed a learning rate of 2e-5 and a total batch size of 1 and gradient accumulation steps of 16. A cosine learning rate scheduler was used with a 150-step warmup. With a gradient clipping of 0.5.
Check out our training notebook here.
Here is a graph of the Step Training Loss, saved every 5 steps:
