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reduce cob model to 400m

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Dobromir Popov
2025-06-25 13:11:00 +03:00
parent 2cbc202d45
commit fdb9e83cf9
6 changed files with 195 additions and 29 deletions
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10
web/clean_dashboard.py
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@ -1095,11 +1095,11 @@ class CleanTradingDashboard:
cob_model_info = {
'active': True,
'parameters': 2517100549, # 2.5B parameters
'parameters': 400000000, # 400M parameters for faster startup
'last_prediction': last_cob_prediction,
'loss_5ma': cob_stats.get('training_stats', {}).get('avg_loss', 0.0089), # Lower loss for larger model
'loss_5ma': cob_stats.get('training_stats', {}).get('avg_loss', 0.012), # Adjusted for smaller model
'model_type': 'COB_RL',
'description': 'Massive RL Network (2.5B params)'
'description': 'Optimized RL Network (400M params)'
}
loaded_models['cob_rl'] = cob_model_info
@ -1108,11 +1108,11 @@ class CleanTradingDashboard:
# Add placeholder for COB RL model
loaded_models['cob_rl'] = {
'active': False,
'parameters': 2517100549,
'parameters': 400000000,
'last_prediction': {'timestamp': 'N/A', 'action': 'NONE', 'confidence': 0},
'loss_5ma': 0.0,
'model_type': 'COB_RL',
'description': 'Massive RL Network (2.5B params) - Inactive'
'description': 'Optimized RL Network (400M params) - Inactive'
}
# Add loaded models to metrics