Model save

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: AdaptLLM/biomed-Qwen2-VL-2B-Instruct
+tags:
+- llama-factory
+- generated_from_trainer
+model-index:
+- name: qwenvl-2B-cadica-stenosis-classify-lora
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# qwenvl-2B-cadica-stenosis-classify-lora
+
+This model is a fine-tuned version of [AdaptLLM/biomed-Qwen2-VL-2B-Instruct](https://huggingface.co/AdaptLLM/biomed-Qwen2-VL-2B-Instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7947
+- Num Input Tokens Seen: 10902632
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- total_eval_batch_size: 4
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 2.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Input Tokens Seen |
+|:-------------:|:------:|:----:|:---------------:|:-----------------:|
+| 0.9039        | 0.1396 | 50   | 0.9039          | 779728            |
+| 0.9033        | 0.2792 | 100  | 0.9009          | 1559632           |
+| 0.9001        | 0.4188 | 150  | 0.8988          | 2339368           |
+| 0.902         | 0.5585 | 200  | 0.9004          | 3119064           |
+| 0.8933        | 0.6981 | 250  | 0.9052          | 3898784           |
+| 0.897         | 0.8377 | 300  | 0.9004          | 4678472           |
+| 0.8997        | 0.9773 | 350  | 0.9016          | 5458104           |
+| 0.9109        | 1.1145 | 400  | 0.8960          | 6224248           |
+| 0.8127        | 1.2541 | 450  | 0.8822          | 7003904           |
+| 0.8198        | 1.3937 | 500  | 0.8460          | 7783528           |
+| 0.832         | 1.5333 | 550  | 0.8188          | 8563264           |
+| 0.786         | 1.6729 | 600  | 0.8021          | 9343120           |
+| 0.8312        | 1.8126 | 650  | 0.7986          | 10122936          |
+| 0.7797        | 1.9522 | 700  | 0.7947          | 10902632          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.47.0.dev0
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

adapter_model.safetensors

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-oid sha256:5839c56a7ebbb855418005599ed317701c3dad1fdcfa37e3e1edb39544ead19a
+oid sha256:ac97a50257be4997c608aae1f33f065181cc26841d4bcd8cdc645f409aa6467d
 size 29034840

chat_template.json

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+{
+  "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
+}

preprocessor_config.json

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+{
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "Qwen2VLImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "max_pixels": 12845056,
+  "merge_size": 2,
+  "min_pixels": 3136,
+  "patch_size": 14,
+  "processor_class": "Qwen2VLProcessor",
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "max_pixels": 12845056,
+    "min_pixels": 3136
+  },
+  "temporal_patch_size": 2
+}