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-direction-scale4
+  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-direction-scale4
+
+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: 0.0022
+- Num Input Tokens Seen: 11980800
+
+## 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: 6
+- total_train_batch_size: 24
+- 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: 0.05
+- training_steps: 1200
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Input Tokens Seen |
+|:-------------:|:------:|:----:|:---------------:|:-----------------:|
+| 0.3441        | 0.0258 | 50   | 0.3383          | 499200            |
+| 0.2274        | 0.0515 | 100  | 0.1866          | 998400            |
+| 0.0667        | 0.0773 | 150  | 0.0967          | 1497600           |
+| 0.0459        | 0.1030 | 200  | 0.0996          | 1996800           |
+| 0.0805        | 0.1288 | 250  | 0.0559          | 2496000           |
+| 0.0381        | 0.1545 | 300  | 0.0309          | 2995200           |
+| 0.1761        | 0.1803 | 350  | 0.0439          | 3494400           |
+| 0.0146        | 0.2060 | 400  | 0.0244          | 3993600           |
+| 0.0157        | 0.2318 | 450  | 0.0067          | 4492800           |
+| 0.0122        | 0.2575 | 500  | 0.0080          | 4992000           |
+| 0.0339        | 0.2833 | 550  | 0.0034          | 5491200           |
+| 0.0217        | 0.3090 | 600  | 0.0133          | 5990400           |
+| 0.0327        | 0.3348 | 650  | 0.0210          | 6489600           |
+| 0.0267        | 0.3605 | 700  | 0.0053          | 6988800           |
+| 0.014         | 0.3863 | 750  | 0.0053          | 7488000           |
+| 0.0065        | 0.4121 | 800  | 0.0068          | 7987200           |
+| 0.0306        | 0.4378 | 850  | 0.0072          | 8486400           |
+| 0.0063        | 0.4636 | 900  | 0.0107          | 8985600           |
+| 0.0415        | 0.4893 | 950  | 0.0072          | 9484800           |
+| 0.0547        | 0.5151 | 1000 | 0.0007          | 9984000           |
+| 0.0007        | 0.5408 | 1050 | 0.0568          | 10483200          |
+| 0.0056        | 0.5666 | 1100 | 0.0004          | 10982400          |
+| 0.0127        | 0.5923 | 1150 | 0.0000          | 11481600          |
+| 0.0038        | 0.6181 | 1200 | 0.0022          | 11980800          |
+
+
+### 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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 version https://git-lfs.github.com/spec/v1
-oid sha256:c8ee2634589442880539cea4215aeae5e195f22dea93b6441497472981b36691
+oid sha256:050dc1f1854d68a42fb308d9dd143ddc3d6fc0d86870ea1eac6bf90317df973a
 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
+}