chancharikm/sft_caption_generation_20260222_ep3_lr3e5_qwen3-vl-8b_cam_ready
The chancharikm/sft_caption_generation_20260222_ep3_lr3e5_qwen3-vl-8b_cam_ready model is a fine-tuned 8-billion parameter Qwen3-VL-8B-Instruct model, developed by chancharikm. This vision-language model is specifically optimized for supervised fine-tuning (SFT) on caption generation tasks. It leverages its Qwen3-VL architecture to process visual inputs and generate descriptive text, making it suitable for image understanding applications.
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Model Overview
This model, chancharikm/sft_caption_generation_20260222_ep3_lr3e5_qwen3-vl-8b_cam_ready, is a specialized fine-tuned version of the Qwen/Qwen3-VL-8B-Instruct base model. It has 8 billion parameters and is designed for vision-language tasks, specifically focusing on caption generation.
Key Characteristics
- Base Model: Fine-tuned from Qwen/Qwen3-VL-8B-Instruct, indicating strong multimodal capabilities.
- Task Focus: Optimized through supervised fine-tuning (SFT) for generating descriptive captions from visual inputs.
- Training Details:
- Learning Rate:
3e-05 - Batch Size:
8(train and eval) - Epochs:
3.0 - Optimizer:
adamw_torch_fused - Scheduler:
cosinewith0.05warmup ratio.
- Learning Rate:
Intended Use Cases
This model is primarily intended for applications requiring the generation of textual descriptions or captions for images. Its fine-tuning process suggests a focus on accuracy and relevance in visual content summarization.