onurulu17 commited on
Commit
164f1d4
·
verified ·
1 Parent(s): 0a6dd8f

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +26 -27
README.md CHANGED
@@ -18,33 +18,6 @@ The goal is to adapt a powerful **multimodal vision-language model** for **medic
18
 
19
  ---
20
 
21
- ## Model Details
22
-
23
- - **Base model:** Qwen/Qwen2.5-VL-3B-Instruct
24
- - **Adapter type:** LoRA (PEFT)
25
- - **Training objective:** Supervised fine-tuning (SFT) on chest X-ray reports
26
- - **Dataset:** [MIMIC-CXR](https://physionet.org/content/mimic-cxr/2.0.0/) (radiology images + reports)
27
- - **Languages:** English (medical reporting domain)
28
- - **Frameworks:** `transformers`, `peft`, `trl`
29
-
30
- ---
31
-
32
- ## Intended Uses
33
-
34
- ### Direct Use
35
- - Generating radiology-style reports from chest X-ray images.
36
- - Research on applying large multimodal models to medical imaging tasks.
37
-
38
- ### Downstream Use
39
- - Medical text generation tasks where radiological image context is available.
40
- - Adaptation for other healthcare VQA (Visual Question Answering) tasks.
41
-
42
- ### Out-of-Scope Use
43
- ⚠️ **Not for clinical decision-making.**
44
- This model is intended **for research purposes only**. Do not use it in medical practice without proper validation and regulatory approval.
45
-
46
- ---
47
-
48
  ## How to Use
49
 
50
  ```python
@@ -99,3 +72,29 @@ sample = [
99
  output = generate_text_from_sample(model, processor, sample)
100
  print(output)
101
  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
18
 
19
  ---
20
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
21
  ## How to Use
22
 
23
  ```python
 
72
  output = generate_text_from_sample(model, processor, sample)
73
  print(output)
74
  ```
75
+ ---
76
+
77
+ ## Model Details
78
+
79
+ - **Base model:** Qwen/Qwen2.5-VL-3B-Instruct
80
+ - **Adapter type:** LoRA (PEFT)
81
+ - **Training objective:** Supervised fine-tuning (SFT) on chest X-ray reports
82
+ - **Dataset:** [MIMIC-CXR](https://physionet.org/content/mimic-cxr/2.0.0/) (radiology images + reports)
83
+ - **Languages:** English (medical reporting domain)
84
+ - **Frameworks:** `transformers`, `peft`, `trl`
85
+
86
+ ---
87
+
88
+ ## Intended Uses
89
+
90
+ ### Direct Use
91
+ - Generating radiology-style reports from chest X-ray images.
92
+ - Research on applying large multimodal models to medical imaging tasks.
93
+
94
+ ### Downstream Use
95
+ - Medical text generation tasks where radiological image context is available.
96
+ - Adaptation for other healthcare VQA (Visual Question Answering) tasks.
97
+
98
+ ### Out-of-Scope Use
99
+ ⚠️ **Not for clinical decision-making.**
100
+ This model is intended **for research purposes only**. Do not use it in medical practice without proper validation and regulatory approval.