Jerry commited on
Commit
2aa6cd5
·
1 Parent(s): bd633bd

fix: remove surrogate pairs from print statements to prevent Colab UnicodeEncodeError

Browse files
Files changed (1) hide show
  1. train_colab.ipynb +5 -5
train_colab.ipynb CHANGED
@@ -8780,7 +8780,7 @@
8780
  " logging_steps=5, report_to='none', warmup_steps=3,\n",
8781
  " ),\n",
8782
  ")\n",
8783
- "print('\\ud83d\\udd25 PHASE 4: Starting Advanced CoT Fine-Tuning...')\n",
8784
  "trainer_finetune.train()\n",
8785
  "print('\\u2705 Phase 4 complete!\\n')\n",
8786
  "\n",
@@ -8788,7 +8788,7 @@
8788
  "FastLanguageModel.for_inference(model)\n",
8789
  "model.save_pretrained(SAVE_FINETUNED)\n",
8790
  "tok.save_pretrained(SAVE_FINETUNED)\n",
8791
- "print(f'\\ud83d\\udcbe Advanced CoT LoRA saved to {SAVE_FINETUNED}')"
8792
  ]
8793
  },
8794
  {
@@ -8815,14 +8815,14 @@
8815
  " actions = extract_all_actions(txt)\n",
8816
  "\n",
8817
  " if verbose:\n",
8818
- " print(f' \\ud83d\\udccb Generated output includes {len(actions)} actions.')\n",
8819
  " print(f' Raw completion preview: {txt[:150]}...')\n",
8820
  "\n",
8821
  " total = run_sequence(actions, task)\n",
8822
  " if verbose: print(f' \\u2192 Live Env Reward: {total:.4f}\\n')\n",
8823
  " return total\n",
8824
  "\n",
8825
- "print('\\ud83d\\udfe2 Running Final CoT Model on TASK-MEDIUM...')\n",
8826
  "cot_rewards = []\n",
8827
  "for i in range(3):\n",
8828
  " print(f'\\n--- CoT Episode {i+1} ---')\n",
@@ -8831,7 +8831,7 @@
8831
  " time.sleep(1)\n",
8832
  "\n",
8833
  "cot_avg = float(np.mean(cot_rewards))\n",
8834
- "print(f'\\n\\ud83c\\udfc6 Final CoT Average: {cot_avg:.4f}')"
8835
  ]
8836
  }
8837
  ]
 
8780
  " logging_steps=5, report_to='none', warmup_steps=3,\n",
8781
  " ),\n",
8782
  ")\n",
8783
+ "print('[HOT] PHASE 4: Starting Advanced CoT Fine-Tuning...')\n",
8784
  "trainer_finetune.train()\n",
8785
  "print('\\u2705 Phase 4 complete!\\n')\n",
8786
  "\n",
 
8788
  "FastLanguageModel.for_inference(model)\n",
8789
  "model.save_pretrained(SAVE_FINETUNED)\n",
8790
  "tok.save_pretrained(SAVE_FINETUNED)\n",
8791
+ "print(f'[SAVE] Advanced CoT LoRA saved to {SAVE_FINETUNED}')"
8792
  ]
8793
  },
8794
  {
 
8815
  " actions = extract_all_actions(txt)\n",
8816
  "\n",
8817
  " if verbose:\n",
8818
+ " print(f' [LOG] Generated output includes {len(actions)} actions.')\n",
8819
  " print(f' Raw completion preview: {txt[:150]}...')\n",
8820
  "\n",
8821
  " total = run_sequence(actions, task)\n",
8822
  " if verbose: print(f' \\u2192 Live Env Reward: {total:.4f}\\n')\n",
8823
  " return total\n",
8824
  "\n",
8825
+ "print('[RUN] Running Final CoT Model on TASK-MEDIUM...')\n",
8826
  "cot_rewards = []\n",
8827
  "for i in range(3):\n",
8828
  " print(f'\\n--- CoT Episode {i+1} ---')\n",
 
8831
  " time.sleep(1)\n",
8832
  "\n",
8833
  "cot_avg = float(np.mean(cot_rewards))\n",
8834
+ "print(f'\\n[WIN] Final CoT Average: {cot_avg:.4f}')"
8835
  ]
8836
  }
8837
  ]