diff --git a/.gitattributes b/.gitattributes index a6344aac8c09253b3b630fb776ae94478aa0275b..88e0aaacd93a3ab62c6a0d817c1c45612244e47c 100644 --- a/.gitattributes +++ b/.gitattributes @@ -33,3 +33,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text *.zip filter=lfs diff=lfs merge=lfs -text *.zst filter=lfs diff=lfs merge=lfs -text *tfevents* filter=lfs diff=lfs merge=lfs -text +checkpoint-20/tokenizer.json filter=lfs diff=lfs merge=lfs -text +checkpoint-40/tokenizer.json filter=lfs diff=lfs merge=lfs -text +final_model/tokenizer.json filter=lfs diff=lfs merge=lfs -text +lora_adapters/tokenizer.json filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..c82b46a092fa762564a5a30a6f19d2ccc0f44977 --- /dev/null +++ b/README.md @@ -0,0 +1,157 @@ +--- +language: +- vi +- en +license: apache-2.0 +tags: +- medical-vision +- medgemma +- vision-language-model +- lora +- unsloth +- spider-dataset +--- + +# medgemma-spider-finetuned + +Fine-tuned MedGemma model for Spider dataset - Medical image analysis with multiple images per patient. + +## πŸ“‹ Model Information + +- **Base Model**: `google/medgemma-4b-it` +- **Fine-tuning Method**: LoRA (Low-Rank Adaptation) +- **Dataset**: Spider dataset (series format - 1 patient = multiple images) +- **Training Framework**: Unsloth (2x faster training) + +## πŸ“‚ Folder Structure +``` +output_medgemma_spider/ +β”œβ”€β”€ final_model/ # Full merged model (large) +β”œβ”€β”€ lora_adapters/ # LoRA adapters only (recommended, lightweight) +β”œβ”€β”€ checkpoint-*/ # Training checkpoints +β”œβ”€β”€ trainer_state.json # Training state +└── eval_metrics.json # Evaluation metrics +``` + +## πŸš€ Usage + +### 1️⃣ Load LoRA Adapters (Recommended - Lightweight) + +```python +from unsloth import FastVisionModel + +model, processor = FastVisionModel.from_pretrained( + model_name="ImNotTam/medgemma-spider-finetuned", + subfolder="lora_adapters", + load_in_4bit=True, +) + +# Enable inference mode +FastVisionModel.for_inference(model) + +# Prepare input with multiple images +image_paths = ["path/to/image1.png", "path/to/image2.png", ...] +question = "What do you see in these images?" + +messages = [ + { + "role": "user", + "content": [ + {"type": "image", "image": img_path} for img_path in image_paths + ] + [{"type": "text", "text": question}] + } +] + +# Generate response +inputs = processor.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=True, + return_tensors="pt", +).to("cuda") + +outputs = model.generate(**inputs, max_new_tokens=512) +response = processor.decode(outputs[0], skip_special_tokens=True) +print(response) +``` + +### 2️⃣ Load Final Model (Full Model) + +```python +from transformers import AutoModelForVision2Seq, AutoProcessor + +model = AutoModelForVision2Seq.from_pretrained( + "ImNotTam/medgemma-spider-finetuned", + subfolder="final_model", + device_map="auto", + torch_dtype="auto" +) +processor = AutoProcessor.from_pretrained( + "ImNotTam/medgemma-spider-finetuned", + subfolder="final_model" +) + +# Use same inference code as above +``` + +### 3️⃣ Continue Training from LoRA Adapters + +```python +from unsloth import FastVisionModel +from trl import SFTTrainer + +# Load LoRA adapter +model, processor = FastVisionModel.from_pretrained( + model_name="ImNotTam/medgemma-spider-finetuned", + subfolder="lora_adapters", + load_in_4bit=True, +) + +# Add new LoRA config để train tiαΊΏp +model = FastVisionModel.get_peft_model( + model, + r=24, + lora_alpha=48, + lora_dropout=0.1, + finetune_vision_layers=True, + finetune_language_layers=True, +) + +# Train vα»›i data mα»›i +trainer = SFTTrainer( + model=model, + tokenizer=processor, + train_dataset=your_new_dataset, + # ... training args +) +trainer.train() +``` + +## πŸ“Š Training Details + +- **LoRA Rank**: 24 +- **LoRA Alpha**: 48 +- **LoRA Dropout**: 0.1 +- **Batch Size**: 2 (per device) +- **Gradient Accumulation**: 12 steps +- **Effective Batch Size**: 24 +- **Learning Rate**: 2e-4 +- **Max Sequence Length**: 1280 +- **Max Images per Sample**: 18 +- **Epochs**: 7 + +## πŸ’‘ Recommendations + +- **For Inference**: Use `lora_adapters/` (lightweight, fast) +- **For Production**: Use `final_model/` (full model) +- **For Continued Training**: Load `lora_adapters/` + add new LoRA config + +## πŸ“¦ Requirements + +```bash +pip install unsloth transformers torch trl pillow +``` + +## πŸ“„ License + +Apache 2.0 diff --git a/adapter_config.json b/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..c92e50f9d073f24b35355defeb4baa4a97146f71 --- /dev/null +++ b/adapter_config.json @@ -0,0 +1,42 @@ +{ + "alora_invocation_tokens": null, + "alpha_pattern": {}, + "arrow_config": null, + "auto_mapping": { + "base_model_class": "Gemma3ForConditionalGeneration", + "parent_library": "transformers.models.gemma3.modeling_gemma3", + "unsloth_fixed": true + }, + "base_model_name_or_path": "unsloth/medgemma-4b-it-unsloth-bnb-4bit", + "bias": "none", + "corda_config": null, + "ensure_weight_tying": false, + "eva_config": null, + "exclude_modules": null, + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 48, + "lora_bias": false, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "peft_version": "0.18.0", + "qalora_group_size": 16, + "r": 24, + "rank_pattern": {}, + "revision": null, + "target_modules": "(?:.*?(?:vision|image|visual|patch|language|text).*?(?:self_attn|attention|attn|mlp|feed_forward|ffn|dense).*?(?:k_proj|v_proj|q_proj|out_proj|fc1|fc2|o_proj|gate_proj|up_proj|down_proj).*?)|(?:\\bmodel\\.layers\\.[\\d]{1,}\\.(?:self_attn|attention|attn|mlp|feed_forward|ffn|dense)\\.(?:(?:k_proj|v_proj|q_proj|out_proj|fc1|fc2|o_proj|gate_proj|up_proj|down_proj)))", + "target_parameters": null, + "task_type": "CAUSAL_LM", + "trainable_token_indices": null, + "use_dora": false, + "use_qalora": false, + "use_rslora": true +} \ No newline at end of file diff --git a/adapter_model.safetensors b/adapter_model.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..eb26c85162926861695f9c1cd145c561efaca416 --- /dev/null +++ b/adapter_model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b8328ef26b1b7720c577351b203322a59ce304fffd474b294ca1b5063c212cde +size 231112192 diff --git a/added_tokens.json b/added_tokens.json new file mode 100644 index 0000000000000000000000000000000000000000..e17bde03d42feda32d1abfca6d3b598b9a020df7 --- /dev/null +++ b/added_tokens.json @@ -0,0 +1,3 @@ +{ + "": 262144 +} diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000000000000000000000000000000000000..1117055ab8e8c90e1b200be00cddb78943616d9e --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,47 @@ +{{ bos_token }} +{%- if messages[0]['role'] == 'system' -%} + {%- if messages[0]['content'] is string -%} + {%- set first_user_prefix = messages[0]['content'] + ' + +' -%} + {%- else -%} + {%- set first_user_prefix = messages[0]['content'][0]['text'] + ' + +' -%} + {%- endif -%} + {%- set loop_messages = messages[1:] -%} +{%- else -%} + {%- set first_user_prefix = "" -%} + {%- set loop_messages = messages -%} +{%- endif -%} +{%- for message in loop_messages -%} + {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%} + {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }} + {%- endif -%} + {%- if (message['role'] == 'assistant') -%} + {%- set role = "model" -%} + {%- else -%} + {%- set role = message['role'] -%} + {%- endif -%} + {{ '' + role + ' +' + (first_user_prefix if loop.first else "") }} + {%- if message['content'] is string -%} + {{ message['content'] | trim }} + {%- elif message['content'] is iterable -%} + {%- for item in message['content'] -%} + {%- if item['type'] == 'image' -%} + {{ '' }} + {%- elif item['type'] == 'text' -%} + {{ item['text'] | trim }} + {%- endif -%} + {%- endfor -%} + {%- else -%} + {{ raise_exception("Invalid content type") }} + {%- endif -%} + {{ ' +' }} +{%- endfor -%} +{%- if add_generation_prompt -%} + {{'model +'}} +{%- endif -%} diff --git a/checkpoint-20/README.md b/checkpoint-20/README.md new file mode 100644 index 0000000000000000000000000000000000000000..a9bb9f3bdadc52ff45a2b93bd1ace5677260a54d --- /dev/null +++ b/checkpoint-20/README.md @@ -0,0 +1,210 @@ +--- +base_model: unsloth/medgemma-4b-it-unsloth-bnb-4bit +library_name: peft +pipeline_tag: text-generation +tags: +- base_model:adapter:unsloth/medgemma-4b-it-unsloth-bnb-4bit +- lora +- sft +- transformers +- trl +- unsloth +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.18.0 \ No newline at end of file diff --git a/checkpoint-20/adapter_config.json b/checkpoint-20/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..c92e50f9d073f24b35355defeb4baa4a97146f71 --- /dev/null +++ b/checkpoint-20/adapter_config.json @@ -0,0 +1,42 @@ +{ + "alora_invocation_tokens": null, + "alpha_pattern": {}, + "arrow_config": null, + "auto_mapping": { + "base_model_class": "Gemma3ForConditionalGeneration", + "parent_library": "transformers.models.gemma3.modeling_gemma3", + "unsloth_fixed": true + }, + "base_model_name_or_path": "unsloth/medgemma-4b-it-unsloth-bnb-4bit", + "bias": "none", + "corda_config": null, + "ensure_weight_tying": false, + "eva_config": null, + "exclude_modules": null, + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 48, + "lora_bias": false, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "peft_version": "0.18.0", + "qalora_group_size": 16, + "r": 24, + "rank_pattern": {}, + "revision": null, + "target_modules": "(?:.*?(?:vision|image|visual|patch|language|text).*?(?:self_attn|attention|attn|mlp|feed_forward|ffn|dense).*?(?:k_proj|v_proj|q_proj|out_proj|fc1|fc2|o_proj|gate_proj|up_proj|down_proj).*?)|(?:\\bmodel\\.layers\\.[\\d]{1,}\\.(?:self_attn|attention|attn|mlp|feed_forward|ffn|dense)\\.(?:(?:k_proj|v_proj|q_proj|out_proj|fc1|fc2|o_proj|gate_proj|up_proj|down_proj)))", + "target_parameters": null, + "task_type": "CAUSAL_LM", + "trainable_token_indices": null, + "use_dora": false, + "use_qalora": false, + "use_rslora": true +} \ No newline at end of file diff --git a/checkpoint-20/adapter_model.safetensors b/checkpoint-20/adapter_model.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..b6e731b4466be8b9774d28c37e8b4061723ca829 --- /dev/null +++ b/checkpoint-20/adapter_model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5643713dcd88711b36834abead294357c43ee63b0f6a39f4efd54e187c2165af +size 231112192 diff --git a/checkpoint-20/added_tokens.json b/checkpoint-20/added_tokens.json new file mode 100644 index 0000000000000000000000000000000000000000..e17bde03d42feda32d1abfca6d3b598b9a020df7 --- /dev/null +++ b/checkpoint-20/added_tokens.json @@ -0,0 +1,3 @@ +{ + "": 262144 +} diff --git a/checkpoint-20/chat_template.jinja b/checkpoint-20/chat_template.jinja new file mode 100644 index 0000000000000000000000000000000000000000..1117055ab8e8c90e1b200be00cddb78943616d9e --- /dev/null +++ b/checkpoint-20/chat_template.jinja @@ -0,0 +1,47 @@ +{{ bos_token }} +{%- if messages[0]['role'] == 'system' -%} + {%- if messages[0]['content'] is string -%} + {%- set first_user_prefix = messages[0]['content'] + ' + +' -%} + {%- else -%} + {%- set first_user_prefix = messages[0]['content'][0]['text'] + ' + +' -%} + {%- endif -%} + {%- set loop_messages = messages[1:] -%} +{%- else -%} + {%- set first_user_prefix = "" -%} + {%- set loop_messages = messages -%} +{%- endif -%} +{%- for message in loop_messages -%} + {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%} + {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }} + {%- endif -%} + {%- if (message['role'] == 'assistant') -%} + {%- set role = "model" -%} + {%- else -%} + {%- set role = message['role'] -%} + {%- endif -%} + {{ '' + role + ' +' + (first_user_prefix if loop.first else "") }} + {%- if message['content'] is string -%} + {{ message['content'] | trim }} + {%- elif message['content'] is iterable -%} + {%- for item in message['content'] -%} + {%- if item['type'] == 'image' -%} + {{ '' }} + {%- elif item['type'] == 'text' -%} + {{ item['text'] | trim }} + {%- endif -%} + {%- endfor -%} + {%- else -%} + {{ raise_exception("Invalid content type") }} + {%- endif -%} + {{ ' +' }} +{%- endfor -%} +{%- if add_generation_prompt -%} + {{'model +'}} +{%- endif -%} diff --git a/checkpoint-20/optimizer.pt b/checkpoint-20/optimizer.pt new file mode 100644 index 0000000000000000000000000000000000000000..f0cc05ab93cdf90443fa8c1e9074966503b1213d --- /dev/null +++ b/checkpoint-20/optimizer.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2065e17defdc0c529bc52c0f605622276e4d65a092442a0d193d4e5badaedf0f +size 118206373 diff --git a/checkpoint-20/preprocessor_config.json b/checkpoint-20/preprocessor_config.json new file mode 100644 index 0000000000000000000000000000000000000000..b1e00fc184f61b698181821169c6374cd5813e5c --- /dev/null +++ b/checkpoint-20/preprocessor_config.json @@ -0,0 +1,29 @@ +{ + "do_convert_rgb": null, + "do_normalize": true, + "do_pan_and_scan": null, + "do_rescale": true, + "do_resize": true, + "image_mean": [ + 0.5, + 0.5, + 0.5 + ], + "image_processor_type": "Gemma3ImageProcessor", + "image_seq_length": 256, + "image_std": [ + 0.5, 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