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chancharikm
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CHAI_SFT_model_8b

Video-Text-to-Text
Transformers
Safetensors
qwen3_vl
image-text-to-text
llama-factory
full
Generated from Trainer
video-language-model
video-captioning
Model card Files
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 Community
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Files changed (3) hide show
  1. README.md +60 -0
  2. preprocessor_config.json +39 -0
  3. video_preprocessor_config.json +41 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: Qwen/Qwen3-VL-8B-Instruct
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+ tags:
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+ - llama-factory
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+ - generated_from_trainer
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+ model-index:
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+ - name: all_sft_formats_unbalanced_20251122_ep3_lr3e5_qwen3-vl-8b
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+ results: []
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+ ---
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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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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # all_sft_formats_unbalanced_20251122_ep3_lr3e5_qwen3-vl-8b
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+
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+ This model is a fine-tuned version of [Qwen/Qwen3-VL-8B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct) on an unknown dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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+ - train_batch_size: 10
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 64
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 1280
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+ - total_eval_batch_size: 512
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+ - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.05
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+ - num_epochs: 3.0
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.57.1
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+ - Pytorch 2.9.1+cu128
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+ - Datasets 4.0.0
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+ - Tokenizers 0.22.1
preprocessor_config.json ADDED
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+ {
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+ "crop_size": null,
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+ "data_format": "channels_first",
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+ "default_to_square": true,
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+ "device": null,
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+ "disable_grouping": null,
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+ "do_center_crop": null,
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+ "do_convert_rgb": true,
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+ "do_normalize": true,
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+ "do_pad": null,
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+ "do_rescale": true,
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+ "do_resize": true,
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+ "image_mean": [
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+ 0.5,
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+ 0.5,
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+ 0.5
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+ ],
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+ "image_processor_type": "Qwen2VLImageProcessorFast",
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+ "image_std": [
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+ 0.5,
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+ 0.5,
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+ 0.5
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+ ],
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+ "input_data_format": null,
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+ "max_pixels": null,
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+ "merge_size": 2,
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+ "min_pixels": null,
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+ "pad_size": null,
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+ "patch_size": 16,
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+ "processor_class": "Qwen3VLProcessor",
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+ "resample": 3,
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+ "rescale_factor": 0.00392156862745098,
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+ "return_tensors": null,
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+ "size": {
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+ "longest_edge": 16777216,
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+ "shortest_edge": 65536
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+ },
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+ "temporal_patch_size": 2
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+ }
video_preprocessor_config.json ADDED
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+ {
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+ "crop_size": null,
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+ "data_format": "channels_first",
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+ "default_to_square": true,
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+ "device": null,
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+ "do_center_crop": null,
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+ "do_convert_rgb": true,
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+ "do_normalize": true,
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+ "do_rescale": true,
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+ "do_resize": true,
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+ "do_sample_frames": true,
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+ "fps": 2,
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+ "image_mean": [
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+ 0.5,
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+ 0.5,
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+ 0.5
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+ ],
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+ "image_std": [
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+ 0.5,
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+ 0.5,
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+ 0.5
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+ ],
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+ "input_data_format": null,
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+ "max_frames": 768,
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+ "merge_size": 2,
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+ "min_frames": 4,
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+ "num_frames": null,
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+ "pad_size": null,
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+ "patch_size": 16,
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+ "processor_class": "Qwen3VLProcessor",
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+ "resample": 3,
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+ "rescale_factor": 0.00392156862745098,
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+ "return_metadata": false,
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+ "size": {
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+ "longest_edge": 25165824,
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+ "shortest_edge": 4096
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+ },
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+ "temporal_patch_size": 2,
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+ "video_metadata": null,
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+ "video_processor_type": "Qwen3VLVideoProcessor"
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+ }