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  1. README.md +56 -0
  2. config.json +142 -0
  3. generation_config.json +7 -0
  4. model.safetensors +3 -0
  5. runs/Feb23_23-21-38_Nikhils-MacBook-Pro.local/events.out.tfevents.1740381698.Nikhils-MacBook-Pro.local.49483.0 +3 -0
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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: HuggingFaceTB/SmolVLM2-500M-Video-Instruct
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: SmolVLM2-500M-Video-Instruct-mpnikhil1
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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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+ # SmolVLM2-500M-Video-Instruct-mpnikhil1
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+
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+ This model is a fine-tuned version of [HuggingFaceTB/SmolVLM2-500M-Video-Instruct](https://huggingface.co/HuggingFaceTB/SmolVLM2-500M-Video-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: 0.0001
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 16
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 50
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+ - num_epochs: 1
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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 4.50.0.dev0
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+ - Pytorch 2.6.0
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+ - Datasets 3.3.2
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+ - Tokenizers 0.21.0
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+ {
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+ "_name_or_path": "HuggingFaceTB/SmolVLM2-500M-Video-Instruct",
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+ "architectures": [
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+ "SmolVLMForConditionalGeneration"
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+ ],
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+ "_name_or_path": "None",
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+ "architectures": [
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+ "VLlama3ForCausalLM"
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+ ],
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+ "head_dim": 64,
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+ "hidden_size": 960,
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+ "intermediate_size": 2560,
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+ "is_llama_config": true,
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+ "torch_dtype": "float32",
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+ "fp16": "float16",
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+ "model_type": "smolvlm_vision",
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