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.gitattributes CHANGED
@@ -37,3 +37,4 @@ Qwen2-VL/Full/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  Qwen2-VL/Full/V7W/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  Qwen2-VL/Full/TextVQA/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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Qwen2-VL/Full/Fingerprint/README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: other
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+ tags:
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+ - llama-factory
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+ - full
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+ - generated_from_trainer
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+ model-index:
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+ - name: Fingerprint
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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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+ # Fingerprint
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+
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+ This model is a fine-tuned version of [/data/xcw/model/Qwen2-VL-2B-Instruct/](https://huggingface.co//data/xcw/model/Qwen2-VL-2B-Instruct/) on the Fingerprint dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0792
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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: 2e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 3
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 12
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+ - total_eval_batch_size: 3
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.01
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+ - num_epochs: 5.0
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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 4.45.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
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