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README.md

@@ -1,13 +1,31 @@
 ---
-title: Train Mobile Controller Llm
-emoji: 🐢
-colorFrom: red
-colorTo: purple
+title: FunctionGemma 270M Mobile Actions SFT
+emoji: 📱
+colorFrom: blue
+colorTo: indigo
 sdk: gradio
-sdk_version: 6.18.0
-python_version: '3.13'
+sdk_version: 5.49.1
 app_file: app.py
 pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# FunctionGemma 270M — Mobile Actions SFT
+
+Full fine-tune of `google/functiongemma-270m-it` for function calling on the
+`google/mobile-actions` dataset, using TRL's `SFTTrainer`
+(prompt/completion format, `completion_only_loss=True`).
+
+## Setup
+
+1. Accept the licenses for both gated repos:
+   - https://huggingface.co/google/functiongemma-270m-it
+   - https://huggingface.co/datasets/google/mobile-actions
+2. Add your token as a Space secret named `HF_TOKEN` (Settings -> Secrets).
+3. Use a **GPU** Space (T4/L4/A10G or better). On CPU, training and scoring are slow —
+   shrink the train/eval subsets.
+
+## Why gradio is pinned to 5.x
+
+`gradio` 6.x requires `huggingface_hub >= 1.2.0`, but `transformers==4.57.1`
+requires `huggingface_hub < 1.0`. Pinning the SDK to `5.49.1` lets pip resolve a
+`huggingface_hub` 0.x that satisfies both.

requirements.txt

@@ -5,4 +5,3 @@ datasets==4.4.1
 accelerate
 sentencepiece
 matplotlib
-gradio