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#!/usr/bin/env python3
"""
Fix script to manually add missing experiments to trackio_experiments.json
"""
import json
import os
from datetime import datetime
def add_missing_experiments():
"""Add the missing experiments from the logs to the data file"""
data_file = "trackio_experiments.json"
# Load existing data
if os.path.exists(data_file):
with open(data_file, 'r') as f:
data = json.load(f)
else:
data = {
'experiments': {},
'current_experiment': None,
'last_updated': datetime.now().isoformat()
}
# Add the missing experiments based on the logs
experiments = data['experiments']
# Experiment 1: exp_20250720_130853
experiments['exp_20250720_130853'] = {
'id': 'exp_20250720_130853',
'name': 'petite-elle-l-aime-3',
'description': 'SmolLM3 fine-tuning experiment',
'created_at': '2025-07-20T11:20:01.780908',
'status': 'running',
'metrics': [
{
'timestamp': '2025-07-20T11:20:01.780908',
'step': 25,
'metrics': {
'loss': 1.1659,
'grad_norm': 10.3125,
'learning_rate': 7e-08,
'num_tokens': 1642080.0,
'mean_token_accuracy': 0.75923578992486,
'epoch': 0.004851130919895701
}
},
{
'timestamp': '2025-07-20T11:26:39.042155',
'step': 50,
'metrics': {
'loss': 1.165,
'grad_norm': 10.75,
'learning_rate': 1.4291666666666667e-07,
'num_tokens': 3324682.0,
'mean_token_accuracy': 0.7577659255266189,
'epoch': 0.009702261839791402
}
},
{
'timestamp': '2025-07-20T11:33:16.203045',
'step': 75,
'metrics': {
'loss': 1.1639,
'grad_norm': 10.6875,
'learning_rate': 2.1583333333333334e-07,
'num_tokens': 4987941.0,
'mean_token_accuracy': 0.7581205774843692,
'epoch': 0.014553392759687101
}
},
{
'timestamp': '2025-07-20T11:39:53.453917',
'step': 100,
'metrics': {
'loss': 1.1528,
'grad_norm': 10.75,
'learning_rate': 2.8875e-07,
'num_tokens': 6630190.0,
'mean_token_accuracy': 0.7614579878747463,
'epoch': 0.019404523679582803
}
}
],
'parameters': {
'model_name': 'HuggingFaceTB/SmolLM3-3B',
'max_seq_length': 12288,
'use_flash_attention': True,
'use_gradient_checkpointing': False,
'batch_size': 8,
'gradient_accumulation_steps': 16,
'learning_rate': 3.5e-06,
'weight_decay': 0.01,
'warmup_steps': 1200,
'max_iters': 18000,
'eval_interval': 1000,
'log_interval': 25,
'save_interval': 2000,
'optimizer': 'adamw_torch',
'beta1': 0.9,
'beta2': 0.999,
'eps': 1e-08,
'scheduler': 'cosine',
'min_lr': 3.5e-07,
'fp16': False,
'bf16': True,
'ddp_backend': 'nccl',
'ddp_find_unused_parameters': False,
'save_steps': 2000,
'eval_steps': 1000,
'logging_steps': 25,
'save_total_limit': 5,
'eval_strategy': 'steps',
'metric_for_best_model': 'eval_loss',
'greater_is_better': False,
'load_best_model_at_end': True,
'data_dir': None,
'train_file': None,
'validation_file': None,
'test_file': None,
'use_chat_template': True,
'chat_template_kwargs': {'add_generation_prompt': True, 'no_think_system_message': True},
'enable_tracking': True,
'trackio_url': 'https://tonic-test-trackio-test.hf.space',
'trackio_token': None,
'log_artifacts': True,
'log_metrics': True,
'log_config': True,
'experiment_name': 'petite-elle-l-aime-3',
'dataset_name': 'legmlai/openhermes-fr',
'dataset_split': 'train',
'input_field': 'prompt',
'target_field': 'accepted_completion',
'filter_bad_entries': True,
'bad_entry_field': 'bad_entry',
'packing': False,
'max_prompt_length': 12288,
'max_completion_length': 8192,
'truncation': True,
'dataloader_num_workers': 10,
'dataloader_pin_memory': True,
'dataloader_prefetch_factor': 3,
'max_grad_norm': 1.0,
'group_by_length': True
},
'artifacts': [],
'logs': []
}
# Experiment 2: exp_20250720_134319
experiments['exp_20250720_134319'] = {
'id': 'exp_20250720_134319',
'name': 'petite-elle-l-aime-3-1',
'description': 'SmolLM3 fine-tuning experiment',
'created_at': '2025-07-20T11:54:31.993219',
'status': 'running',
'metrics': [
{
'timestamp': '2025-07-20T11:54:31.993219',
'step': 25,
'metrics': {
'loss': 1.166,
'grad_norm': 10.375,
'learning_rate': 7e-08,
'num_tokens': 1642080.0,
'mean_token_accuracy': 0.7590958896279335,
'epoch': 0.004851130919895701
}
},
{
'timestamp': '2025-07-20T11:54:33.589487',
'step': 25,
'metrics': {
'gpu_0_memory_allocated': 17.202261447906494,
'gpu_0_memory_reserved': 75.474609375,
'gpu_0_utilization': 0,
'cpu_percent': 2.7,
'memory_percent': 10.1
}
}
],
'parameters': {
'model_name': 'HuggingFaceTB/SmolLM3-3B',
'max_seq_length': 12288,
'use_flash_attention': True,
'use_gradient_checkpointing': False,
'batch_size': 8,
'gradient_accumulation_steps': 16,
'learning_rate': 3.5e-06,
'weight_decay': 0.01,
'warmup_steps': 1200,
'max_iters': 18000,
'eval_interval': 1000,
'log_interval': 25,
'save_interval': 2000,
'optimizer': 'adamw_torch',
'beta1': 0.9,
'beta2': 0.999,
'eps': 1e-08,
'scheduler': 'cosine',
'min_lr': 3.5e-07,
'fp16': False,
'bf16': True,
'ddp_backend': 'nccl',
'ddp_find_unused_parameters': False,
'save_steps': 2000,
'eval_steps': 1000,
'logging_steps': 25,
'save_total_limit': 5,
'eval_strategy': 'steps',
'metric_for_best_model': 'eval_loss',
'greater_is_better': False,
'load_best_model_at_end': True,
'data_dir': None,
'train_file': None,
'validation_file': None,
'test_file': None,
'use_chat_template': True,
'chat_template_kwargs': {'add_generation_prompt': True, 'no_think_system_message': True},
'enable_tracking': True,
'trackio_url': 'https://tonic-test-trackio-test.hf.space',
'trackio_token': None,
'log_artifacts': True,
'log_metrics': True,
'log_config': True,
'experiment_name': 'petite-elle-l-aime-3-1',
'dataset_name': 'legmlai/openhermes-fr',
'dataset_split': 'train',
'input_field': 'prompt',
'target_field': 'accepted_completion',
'filter_bad_entries': True,
'bad_entry_field': 'bad_entry',
'packing': False,
'max_prompt_length': 12288,
'max_completion_length': 8192,
'truncation': True,
'dataloader_num_workers': 10,
'dataloader_pin_memory': True,
'dataloader_prefetch_factor': 3,
'max_grad_norm': 1.0,
'group_by_length': True
},
'artifacts': [],
'logs': []
}
# Update metadata
data['current_experiment'] = 'exp_20250720_134319'
data['last_updated'] = datetime.now().isoformat()
# Save the updated data
with open(data_file, 'w') as f:
json.dump(data, f, indent=2)
print("✅ Added missing experiments to trackio_experiments.json")
print(f"📊 Total experiments: {len(experiments)}")
print("🔬 Experiments added:")
print(" - exp_20250720_130853 (petite-elle-l-aime-3)")
print(" - exp_20250720_134319 (petite-elle-l-aime-3-1)")
print("\n🎯 You can now view these experiments in the Trackio interface!")
if __name__ == "__main__":
add_missing_experiments() |