Upload full training folder with all checkpoints

.gitattributes

@@ -33,3 +33,13 @@ 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-100/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-125/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-150/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-175/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-182/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-25/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-50/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-75/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

README.md

@@ -0,0 +1,175 @@
+---
+language:
+- vi
+- en
+license: apache-2.0
+tags:
+- llm-judge
+- training-checkpoint
+- lora
+- unsloth
+---
+
+# finetuned_12_12
+
+Full training folder backup - Toàn bộ checkpoints và models.
+
+## 📂 Cấu trúc Folder
+```
+train_
+├── lora_adapters/           # LoRA adapters
+├── README.md
+├── zero_shot_metrics.json
+└── zero_shot_results.csv
+```
+
+## 🚀 Sử Dụng
+
+### 1️⃣ Clone Repo
+```bash
+git lfs install
+git clone https://huggingface.co/ImNotTam/finetuned_12_12
+cd finetuned_12_12
+```
+
+### 2️⃣ Load LoRA Adapters (Nhẹ nhất - khuyến nghị)
+```python
+from unsloth import FastLanguageModel
+
+model, tokenizer = FastLanguageModel.from_pretrained(
+    model_name="ImNotTam/finetuned_12_12",
+    subfolder="lora_adapters",
+    max_seq_length=2048,
+    dtype=None,
+    load_in_4bit=True,
+)
+
+# Enable inference mode
+FastLanguageModel.for_inference(model)
+
+# Test
+prompt = "Đánh giá response này..."
+inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
+outputs = model.generate(**inputs, max_new_tokens=256)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+### 3️⃣ Load Final Model
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained(
+    "ImNotTam/finetuned_12_12",
+    subfolder="final_model",
+    device_map="auto",
+    torch_dtype="auto"
+)
+tokenizer = AutoTokenizer.from_pretrained("ImNotTam/finetuned_12_12", subfolder="final_model")
+
+# Inference
+inputs = tokenizer("Your prompt", return_tensors="pt").to("cuda")
+outputs = model.generate(**inputs)
+print(tokenizer.decode(outputs[0]))
+```
+
+### 4️⃣ Resume Training từ Checkpoint
+```python
+from transformers import Trainer, TrainingArguments
+
+# Load checkpoint muốn resume
+model = AutoModelForCausalLM.from_pretrained(
+    "ImNotTam/finetuned_12_12",
+    subfolder="checkpoint-210",  # Chọn checkpoint
+    device_map="auto"
+)
+
+# Continue training
+trainer = Trainer(
+    model=model,
+    args=TrainingArguments(
+        output_dir="./continue_training",
+        # ... your training args
+    ),
+)
+trainer.train(resume_from_checkpoint=True)
+```
+
+### 5️⃣ Fine-tune Tiếp từ LoRA Adapter
+```python
+from unsloth import FastLanguageModel
+from trl import SFTTrainer
+
+# Load LoRA adapter
+model, tokenizer = FastLanguageModel.from_pretrained(
+    model_name="ImNotTam/finetuned_12_12",
+    subfolder="lora_adapters",
+    max_seq_length=2048,
+    dtype=None,
+    load_in_4bit=True,
+)
+
+# Add LoRA config để train tiếp
+model = FastLanguageModel.get_peft_model(
+    model,
+    r=16,
+    target_modules=["q_proj", "k_proj", "v_proj", "o_proj",
+                    "gate_proj", "up_proj", "down_proj"],
+    lora_alpha=16,
+    lora_dropout=0,
+    bias="none",
+    use_gradient_checkpointing="unsloth",
+)
+
+# Train với data mới
+trainer = SFTTrainer(
+    model=model,
+    tokenizer=tokenizer,
+    train_dataset=your_new_dataset,
+    # ... training args
+)
+trainer.train()
+```
+
+### 6️⃣ Xem Metrics và Results
+```python
+import json
+import pandas as pd
+
+# Load metrics
+with open("zero_shot_metrics.json", "r") as f:
+    metrics = json.load(f)
+print("📊 Metrics:", metrics)
+
+# Load results
+results = pd.read_csv("zero_shot_results.csv")
+print("\n📈 Results:")
+print(results.head())
+```
+
+## 📋 Nội Dung Repo
+
+| Folder/File | Mô tả | Kích thước |
+|-------------|-------|------------|
+| `lora_adapters/` | LoRA adapters (nhẹ) | ~50-100 MB |
+| `final_model/` | Model merged đầy đủ | ~4-8 GB |
+| `checkpoint-150/` | Training checkpoint | ~4-8 GB |
+| `checkpoint-200/` | Training checkpoint | ~4-8 GB |
+| `checkpoint-210/` | Training checkpoint | ~4-8 GB |
+| `zero_shot_metrics.json` | Evaluation metrics | <1 MB |
+| `zero_shot_results.csv` | Detailed results | <1 MB |
+
+## 💡 Khuyến Nghị
+
+- **Inference nhanh:** Dùng `lora_adapters/`
+- **Production:** Dùng `final_model/`
+- **Train tiếp:** Load `lora_adapters/` + add LoRA config
+- **Resume training:** Load checkpoint cụ thể
+
+## 📦 Requirements
+```bash
+pip install unsloth transformers torch trl
+```
+
+## 📄 License
+
+Apache 2.0

checkpoint-100/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
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **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]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+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
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[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

checkpoint-100/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": 64,
+  "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": 32,
+  "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
+}

checkpoint-100/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3caed11c2989c4e74a44d65d88caf0ffe8539d89b915b1831a37de8154193b4f
+size 308107928

checkpoint-100/added_tokens.json

@@ -0,0 +1,3 @@
+{
+  "<image_soft_token>": 262144
+}

checkpoint-100/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 -%}
+    {{ '<start_of_turn>' + 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' -%}
+                {{ '<start_of_image>' }}
+            {%- elif item['type'] == 'text' -%}
+                {{ item['text'] | trim }}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {{ raise_exception("Invalid content type") }}
+    {%- endif -%}
+    {{ '<end_of_turn>
+' }}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    {{'<start_of_turn>model
+'}}
+{%- endif -%}

checkpoint-100/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e67aa6ee540285fe465c828274883f3630ebf18672c246fc1c42b42a0adb6596
+size 157331237

checkpoint-100/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,
+    0.5,
+    0.5
+  ],
+  "pan_and_scan_max_num_crops": null,
+  "pan_and_scan_min_crop_size": null,
+  "pan_and_scan_min_ratio_to_activate": null,
+  "processor_class": "Gemma3Processor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 896,
+    "width": 896
+  }
+}

checkpoint-100/processor_config.json

@@ -0,0 +1,4 @@
+{
+  "image_seq_length": 256,
+  "processor_class": "Gemma3Processor"
+}

checkpoint-100/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6112a972f7b63c1811df884b0a74e8560fd5ef0d939d5462b8fa20d3a09223f6
+size 14645

checkpoint-100/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:57d0faa6e375457f5868583a2909cdbc56b86fe1e46b03e501b7bb256d746404
+size 1465

checkpoint-100/special_tokens_map.json

@@ -0,0 +1,33 @@
+{
+  "boi_token": "<start_of_image>",
+  "bos_token": {
+    "content": "<bos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eoi_token": "<end_of_image>",
+  "eos_token": {
+    "content": "<end_of_turn>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "image_token": "<image_soft_token>",
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-100/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1ebf1915455f8237564395182c49e3c685cfe3533b3d50ec6d49ce65ec43c32e
+size 33384723

checkpoint-100/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
+size 4689074

checkpoint-100/trainer_state.json

@@ -0,0 +1,145 @@
+{
+  "best_global_step": 100,
+  "best_metric": 0.010165676474571228,
+  "best_model_checkpoint": "/teamspace/studios/this_studio/DATN/output/medgemma_finetuned/checkpoint-100",
+  "epoch": 3.8564476885644767,
+  "eval_steps": 25,
+  "global_step": 100,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.38929440389294406,
+      "grad_norm": 3.8712122440338135,
+      "learning_rate": 9.473684210526316e-05,
+      "loss": 0.4851,
+      "step": 10
+    },
+    {
+      "epoch": 0.7785888077858881,
+      "grad_norm": 1.850216269493103,
+      "learning_rate": 0.0002,
+      "loss": 0.0256,
+      "step": 20
+    },
+    {
+      "epoch": 0.9732360097323601,
+      "eval_loss": 0.015751386061310768,
+      "eval_runtime": 123.684,
+      "eval_samples_per_second": 0.412,
+      "eval_steps_per_second": 0.21,
+      "step": 25
+    },
+    {
+      "epoch": 1.1557177615571776,
+      "grad_norm": 0.2004503309726715,
+      "learning_rate": 0.00019814838910603481,
+      "loss": 0.0148,
+      "step": 30
+    },
+    {
+      "epoch": 1.5450121654501217,
+      "grad_norm": 0.07818326354026794,
+      "learning_rate": 0.0001926621256821922,
+      "loss": 0.0094,
+      "step": 40
+    },
+    {
+      "epoch": 1.9343065693430657,
+      "grad_norm": 0.0575609989464283,
+      "learning_rate": 0.00018374437823092724,
+      "loss": 0.009,
+      "step": 50
+    },
+    {
+      "epoch": 1.9343065693430657,
+      "eval_loss": 0.010756579227745533,
+      "eval_runtime": 101.2153,
+      "eval_samples_per_second": 0.504,
+      "eval_steps_per_second": 0.257,
+      "step": 50
+    },
+    {
+      "epoch": 2.3114355231143553,
+      "grad_norm": 0.03460681438446045,
+      "learning_rate": 0.0001717253907188477,
+      "loss": 0.0083,
+      "step": 60
+    },
+    {
+      "epoch": 2.7007299270072993,
+      "grad_norm": 0.03570393845438957,
+      "learning_rate": 0.0001570502529101896,
+      "loss": 0.008,
+      "step": 70
+    },
+    {
+      "epoch": 2.895377128953771,
+      "eval_loss": 0.011468109674751759,
+      "eval_runtime": 97.9517,
+      "eval_samples_per_second": 0.521,
+      "eval_steps_per_second": 0.265,
+      "step": 75
+    },
+    {
+      "epoch": 3.0778588807785887,
+      "grad_norm": 0.0510949082672596,
+      "learning_rate": 0.00014026241770569197,
+      "loss": 0.0078,
+      "step": 80
+    },
+    {
+      "epoch": 3.4671532846715327,
+      "grad_norm": 0.04285643249750137,
+      "learning_rate": 0.00012198357587636957,
+      "loss": 0.0073,
+      "step": 90
+    },
+    {
+      "epoch": 3.8564476885644767,
+      "grad_norm": 0.034959107637405396,
+      "learning_rate": 0.00010289063347542726,
+      "loss": 0.0075,
+      "step": 100
+    },
+    {
+      "epoch": 3.8564476885644767,
+      "eval_loss": 0.010165676474571228,
+      "eval_runtime": 98.2376,
+      "eval_samples_per_second": 0.519,
+      "eval_steps_per_second": 0.265,
+      "step": 100
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 182,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 7,
+  "save_steps": 25,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 50,
+        "early_stopping_threshold": 0.0001
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.4901690571569878e+17,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-100/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:69b61c6883fc505a192d1768586bcffc74e9b66d43dca3b417ae55287d92b998
+size 6417

checkpoint-125/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
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **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]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+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
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[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

checkpoint-125/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": 64,
+  "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": 32,
+  "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
+}

checkpoint-125/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8116422c39b324a63aacfe5e0815ce2a35a935dda2b82741603a743a1136a62
+size 308107928

checkpoint-125/added_tokens.json

@@ -0,0 +1,3 @@
+{
+  "<image_soft_token>": 262144
+}

checkpoint-125/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 -%}
+    {{ '<start_of_turn>' + 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' -%}
+                {{ '<start_of_image>' }}
+            {%- elif item['type'] == 'text' -%}
+                {{ item['text'] | trim }}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {{ raise_exception("Invalid content type") }}
+    {%- endif -%}
+    {{ '<end_of_turn>
+' }}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    {{'<start_of_turn>model
+'}}
+{%- endif -%}

checkpoint-125/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d02b7cd87a42137748e0e5f2d7f536e981fab6c4a17cecb8ace29cb9e4c3cd48
+size 157331237

checkpoint-125/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,
+    0.5,
+    0.5
+  ],
+  "pan_and_scan_max_num_crops": null,
+  "pan_and_scan_min_crop_size": null,
+  "pan_and_scan_min_ratio_to_activate": null,
+  "processor_class": "Gemma3Processor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 896,
+    "width": 896
+  }
+}

checkpoint-125/processor_config.json

@@ -0,0 +1,4 @@
+{
+  "image_seq_length": 256,
+  "processor_class": "Gemma3Processor"
+}

checkpoint-125/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c7003867d6668256963e9d8fdd888a161e15a4d04e57e95be653ceb0fb331645
+size 14645

checkpoint-125/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ea54c98286f21a93ecc7c71ee12b6fc075fc5138961f991d7d207a67950a3a7
+size 1465

checkpoint-125/special_tokens_map.json

@@ -0,0 +1,33 @@
+{
+  "boi_token": "<start_of_image>",
+  "bos_token": {
+    "content": "<bos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eoi_token": "<end_of_image>",
+  "eos_token": {
+    "content": "<end_of_turn>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "image_token": "<image_soft_token>",
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-125/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1ebf1915455f8237564395182c49e3c685cfe3533b3d50ec6d49ce65ec43c32e
+size 33384723

checkpoint-125/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
+size 4689074

checkpoint-125/trainer_state.json

@@ -0,0 +1,167 @@
+{
+  "best_global_step": 100,
+  "best_metric": 0.010165676474571228,
+  "best_model_checkpoint": "/teamspace/studios/this_studio/DATN/output/medgemma_finetuned/checkpoint-100",
+  "epoch": 4.817518248175182,
+  "eval_steps": 25,
+  "global_step": 125,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.38929440389294406,
+      "grad_norm": 3.8712122440338135,
+      "learning_rate": 9.473684210526316e-05,
+      "loss": 0.4851,
+      "step": 10
+    },
+    {
+      "epoch": 0.7785888077858881,
+      "grad_norm": 1.850216269493103,
+      "learning_rate": 0.0002,
+      "loss": 0.0256,
+      "step": 20
+    },
+    {
+      "epoch": 0.9732360097323601,
+      "eval_loss": 0.015751386061310768,
+      "eval_runtime": 123.684,
+      "eval_samples_per_second": 0.412,
+      "eval_steps_per_second": 0.21,
+      "step": 25
+    },
+    {
+      "epoch": 1.1557177615571776,
+      "grad_norm": 0.2004503309726715,
+      "learning_rate": 0.00019814838910603481,
+      "loss": 0.0148,
+      "step": 30
+    },
+    {
+      "epoch": 1.5450121654501217,
+      "grad_norm": 0.07818326354026794,
+      "learning_rate": 0.0001926621256821922,
+      "loss": 0.0094,
+      "step": 40
+    },
+    {
+      "epoch": 1.9343065693430657,
+      "grad_norm": 0.0575609989464283,
+      "learning_rate": 0.00018374437823092724,
+      "loss": 0.009,
+      "step": 50
+    },
+    {
+      "epoch": 1.9343065693430657,
+      "eval_loss": 0.010756579227745533,
+      "eval_runtime": 101.2153,
+      "eval_samples_per_second": 0.504,
+      "eval_steps_per_second": 0.257,
+      "step": 50
+    },
+    {
+      "epoch": 2.3114355231143553,
+      "grad_norm": 0.03460681438446045,
+      "learning_rate": 0.0001717253907188477,
+      "loss": 0.0083,
+      "step": 60
+    },
+    {
+      "epoch": 2.7007299270072993,
+      "grad_norm": 0.03570393845438957,
+      "learning_rate": 0.0001570502529101896,
+      "loss": 0.008,
+      "step": 70
+    },
+    {
+      "epoch": 2.895377128953771,
+      "eval_loss": 0.011468109674751759,
+      "eval_runtime": 97.9517,
+      "eval_samples_per_second": 0.521,
+      "eval_steps_per_second": 0.265,
+      "step": 75
+    },
+    {
+      "epoch": 3.0778588807785887,
+      "grad_norm": 0.0510949082672596,
+      "learning_rate": 0.00014026241770569197,
+      "loss": 0.0078,
+      "step": 80
+    },
+    {
+      "epoch": 3.4671532846715327,
+      "grad_norm": 0.04285643249750137,
+      "learning_rate": 0.00012198357587636957,
+      "loss": 0.0073,
+      "step": 90
+    },
+    {
+      "epoch": 3.8564476885644767,
+      "grad_norm": 0.034959107637405396,
+      "learning_rate": 0.00010289063347542726,
+      "loss": 0.0075,
+      "step": 100
+    },
+    {
+      "epoch": 3.8564476885644767,
+      "eval_loss": 0.010165676474571228,
+      "eval_runtime": 98.2376,
+      "eval_samples_per_second": 0.519,
+      "eval_steps_per_second": 0.265,
+      "step": 100
+    },
+    {
+      "epoch": 4.233576642335766,
+      "grad_norm": 0.048688922077417374,
+      "learning_rate": 8.369064450581373e-05,
+      "loss": 0.0069,
+      "step": 110
+    },
+    {
+      "epoch": 4.622871046228711,
+      "grad_norm": 0.032025065273046494,
+      "learning_rate": 6.509462714233195e-05,
+      "loss": 0.0069,
+      "step": 120
+    },
+    {
+      "epoch": 4.817518248175182,
+      "eval_loss": 0.01066823210567236,
+      "eval_runtime": 98.7276,
+      "eval_samples_per_second": 0.517,
+      "eval_steps_per_second": 0.263,
+      "step": 125
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 182,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 7,
+  "save_steps": 25,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 50,
+        "early_stopping_threshold": 0.0001
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 1
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.8596017834175174e+17,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-125/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:69b61c6883fc505a192d1768586bcffc74e9b66d43dca3b417ae55287d92b998
+size 6417

checkpoint-150/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
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **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]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+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
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[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

checkpoint-150/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": 64,
+  "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": 32,
+  "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
+}

checkpoint-150/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5ae49f4e0b3223d59f171aca08988fe121cc9e9be02493470cb44da5e3074252
+size 308107928

checkpoint-150/added_tokens.json

@@ -0,0 +1,3 @@
+{
+  "<image_soft_token>": 262144
+}

checkpoint-150/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 -%}
+    {{ '<start_of_turn>' + 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' -%}
+                {{ '<start_of_image>' }}
+            {%- elif item['type'] == 'text' -%}
+                {{ item['text'] | trim }}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {{ raise_exception("Invalid content type") }}
+    {%- endif -%}
+    {{ '<end_of_turn>
+' }}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    {{'<start_of_turn>model
+'}}
+{%- endif -%}

checkpoint-150/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3b799623eea5f8588762d4aebf301e1245c212d56d886d70587a01c0c70fd51e
+size 157331237

checkpoint-150/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,
+    0.5,
+    0.5
+  ],
+  "pan_and_scan_max_num_crops": null,
+  "pan_and_scan_min_crop_size": null,
+  "pan_and_scan_min_ratio_to_activate": null,
+  "processor_class": "Gemma3Processor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 896,
+    "width": 896
+  }
+}

checkpoint-150/processor_config.json

@@ -0,0 +1,4 @@
+{
+  "image_seq_length": 256,
+  "processor_class": "Gemma3Processor"
+}

checkpoint-150/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:729ea7e68402ade681d86b639fc2993d969bc8267ba42a1ebad02bcaf92a191e
+size 14645

checkpoint-150/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:af524339e30b67e91b5c848a0b1020aa843d0fadfe53ba1775f0a718d5e4ad50
+size 1465

checkpoint-150/special_tokens_map.json

@@ -0,0 +1,33 @@
+{
+  "boi_token": "<start_of_image>",
+  "bos_token": {
+    "content": "<bos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eoi_token": "<end_of_image>",
+  "eos_token": {
+    "content": "<end_of_turn>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "image_token": "<image_soft_token>",
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-150/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1ebf1915455f8237564395182c49e3c685cfe3533b3d50ec6d49ce65ec43c32e
+size 33384723

checkpoint-150/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
+size 4689074

checkpoint-150/trainer_state.json

@@ -0,0 +1,196 @@
+{
+  "best_global_step": 100,
+  "best_metric": 0.010165676474571228,
+  "best_model_checkpoint": "/teamspace/studios/this_studio/DATN/output/medgemma_finetuned/checkpoint-100",
+  "epoch": 5.778588807785888,
+  "eval_steps": 25,
+  "global_step": 150,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.38929440389294406,
+      "grad_norm": 3.8712122440338135,
+      "learning_rate": 9.473684210526316e-05,
+      "loss": 0.4851,
+      "step": 10
+    },
+    {
+      "epoch": 0.7785888077858881,
+      "grad_norm": 1.850216269493103,
+      "learning_rate": 0.0002,
+      "loss": 0.0256,
+      "step": 20
+    },
+    {
+      "epoch": 0.9732360097323601,
+      "eval_loss": 0.015751386061310768,
+      "eval_runtime": 123.684,
+      "eval_samples_per_second": 0.412,
+      "eval_steps_per_second": 0.21,
+      "step": 25
+    },
+    {
+      "epoch": 1.1557177615571776,
+      "grad_norm": 0.2004503309726715,
+      "learning_rate": 0.00019814838910603481,
+      "loss": 0.0148,
+      "step": 30
+    },
+    {
+      "epoch": 1.5450121654501217,
+      "grad_norm": 0.07818326354026794,
+      "learning_rate": 0.0001926621256821922,
+      "loss": 0.0094,
+      "step": 40
+    },
+    {
+      "epoch": 1.9343065693430657,
+      "grad_norm": 0.0575609989464283,
+      "learning_rate": 0.00018374437823092724,
+      "loss": 0.009,
+      "step": 50
+    },
+    {
+      "epoch": 1.9343065693430657,
+      "eval_loss": 0.010756579227745533,
+      "eval_runtime": 101.2153,
+      "eval_samples_per_second": 0.504,
+      "eval_steps_per_second": 0.257,
+      "step": 50
+    },
+    {
+      "epoch": 2.3114355231143553,
+      "grad_norm": 0.03460681438446045,
+      "learning_rate": 0.0001717253907188477,
+      "loss": 0.0083,
+      "step": 60
+    },
+    {
+      "epoch": 2.7007299270072993,
+      "grad_norm": 0.03570393845438957,
+      "learning_rate": 0.0001570502529101896,
+      "loss": 0.008,
+      "step": 70
+    },
+    {
+      "epoch": 2.895377128953771,
+      "eval_loss": 0.011468109674751759,
+      "eval_runtime": 97.9517,
+      "eval_samples_per_second": 0.521,
+      "eval_steps_per_second": 0.265,
+      "step": 75
+    },
+    {
+      "epoch": 3.0778588807785887,
+      "grad_norm": 0.0510949082672596,
+      "learning_rate": 0.00014026241770569197,
+      "loss": 0.0078,
+      "step": 80
+    },
+    {
+      "epoch": 3.4671532846715327,
+      "grad_norm": 0.04285643249750137,
+      "learning_rate": 0.00012198357587636957,
+      "loss": 0.0073,
+      "step": 90
+    },
+    {
+      "epoch": 3.8564476885644767,
+      "grad_norm": 0.034959107637405396,
+      "learning_rate": 0.00010289063347542726,
+      "loss": 0.0075,
+      "step": 100
+    },
+    {
+      "epoch": 3.8564476885644767,
+      "eval_loss": 0.010165676474571228,
+      "eval_runtime": 98.2376,
+      "eval_samples_per_second": 0.519,
+      "eval_steps_per_second": 0.265,
+      "step": 100
+    },
+    {
+      "epoch": 4.233576642335766,
+      "grad_norm": 0.048688922077417374,
+      "learning_rate": 8.369064450581373e-05,
+      "loss": 0.0069,
+      "step": 110
+    },
+    {
+      "epoch": 4.622871046228711,
+      "grad_norm": 0.032025065273046494,
+      "learning_rate": 6.509462714233195e-05,
+      "loss": 0.0069,
+      "step": 120
+    },
+    {
+      "epoch": 4.817518248175182,
+      "eval_loss": 0.01066823210567236,
+      "eval_runtime": 98.7276,
+      "eval_samples_per_second": 0.517,
+      "eval_steps_per_second": 0.263,
+      "step": 125
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 0.04177581146359444,
+      "learning_rate": 4.779123315167362e-05,
+      "loss": 0.0073,
+      "step": 130
+    },
+    {
+      "epoch": 5.3892944038929445,
+      "grad_norm": 0.021832605823874474,
+      "learning_rate": 3.242124559015234e-05,
+      "loss": 0.0068,
+      "step": 140
+    },
+    {
+      "epoch": 5.778588807785888,
+      "grad_norm": 0.025266585871577263,
+      "learning_rate": 1.9553849185948512e-05,
+      "loss": 0.0068,
+      "step": 150
+    },
+    {
+      "epoch": 5.778588807785888,
+      "eval_loss": 0.010451124049723148,
+      "eval_runtime": 97.7624,
+      "eval_samples_per_second": 0.522,
+      "eval_steps_per_second": 0.266,
+      "step": 150
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 182,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 7,
+  "save_steps": 25,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 50,
+        "early_stopping_threshold": 0.0001
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 2
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2.2357930956632294e+17,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-150/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:69b61c6883fc505a192d1768586bcffc74e9b66d43dca3b417ae55287d92b998
+size 6417