Upload train_lfm_v2.py with huggingface_hub

train_lfm_v2.py

@@ -0,0 +1,99 @@
+# /// script
+# requires-python = ">=3.10"
+# dependencies = [
+#     "trl>=0.12.0",
+#     "peft>=0.7.0",
+#     "transformers>=4.36.0",
+#     "accelerate>=0.24.0",
+#     "trackio",
+#     "datasets",
+# ]
+# ///
+
+"""
+Agent Zero SFT v2: LiquidAI/LFM2.5-1.2B-Instruct
+LoRA fine-tuning on mixed agent-zero-sft-v2 dataset.
+
+Changes from v1:
+  - Mixed dataset: 40% agent + 40% math (MetaMathQA) + 20% general (OpenHermes)
+  - LoRA r=8 (was 16), alpha=16 (was 32) — reduced rank to prevent overfitting
+  - 2 epochs (was 3)
+  - lr=1e-4 (was 2e-4) — gentler updates
+"""
+
+import os
+
+import trackio
+from datasets import load_dataset
+from huggingface_hub import login
+from peft import LoraConfig
+from trl import SFTTrainer, SFTConfig
+
+token = os.getenv("HF_TOKEN")
+if token:
+    login(token=token)
+
+# Load v2 mixed dataset
+print("Loading dataset...")
+train_ds = load_dataset("wheattoast11/agent-zero-sft-v2", split="train")
+val_ds = load_dataset("wheattoast11/agent-zero-sft-v2", split="validation")
+print(f"Train: {len(train_ds)}, Val: {len(val_ds)}")
+
+config = SFTConfig(
+    output_dir="agent-zero-lfm-1.2b-v2",
+    push_to_hub=True,
+    hub_model_id="wheattoast11/agent-zero-lfm-1.2b-v2",
+    hub_strategy="every_save",
+    hub_private_repo=True,
+
+    # v2: 2 epochs (was 3)
+    num_train_epochs=2,
+    per_device_train_batch_size=4,
+    gradient_accumulation_steps=4,  # effective batch size 16
+    # v2: lr=1e-4 (was 2e-4)
+    learning_rate=1e-4,
+    bf16=True,
+
+    logging_steps=10,
+    save_strategy="steps",
+    save_steps=200,
+    save_total_limit=2,
+
+    eval_strategy="steps",
+    eval_steps=200,
+
+    warmup_ratio=0.1,
+    lr_scheduler_type="cosine",
+
+    report_to="trackio",
+    project="agent-zero-finetune",
+    run_name="lfm-1.2b-sft-v2",
+)
+
+# v2: r=8 (was 16), alpha=16 (was 32), ratio stays 2.0
+peft_config = LoraConfig(
+    r=8,
+    lora_alpha=16,
+    lora_dropout=0.05,
+    bias="none",
+    task_type="CAUSAL_LM",
+    target_modules=["q_proj", "v_proj", "k_proj", "o_proj"],
+)
+
+print("Initializing trainer...")
+trainer = SFTTrainer(
+    model="LiquidAI/LFM2.5-1.2B-Instruct",
+    train_dataset=train_ds,
+    eval_dataset=val_ds,
+    args=config,
+    peft_config=peft_config,
+)
+
+print("Starting training...")
+trainer.train()
+
+print("Pushing to Hub...")
+trainer.push_to_hub()
+
+trackio.finish()
+print("Done! Model at: https://huggingface.co/wheattoast11/agent-zero-lfm-1.2b-v2")