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kronos_base_model_BTCUSDT_4h_finetune

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  2. basemodel_training_rank_0.log +254 -0
README.md CHANGED
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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ language:
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+ - en
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+ - zh
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+ license: mit
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+ tags:
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+ - time-series
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+ - forecasting
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+ - bitcoin
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+ - btc
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+ - cryptocurrency
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+ - fine-tuned
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+ datasets:
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+ - lc2004/BTCUSDT-4-hour-candles
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+ model-index:
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+ - name: BTCUSDT 4h Fine-tuned Model
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+ results:
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+ - task:
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+ name: Time Series Forecasting
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+ type: time-series-forecasting
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+ dataset:
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+ name: BTCUSDT 4-hour
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+ type: cryptocurrency-price-data
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+ metrics:
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+ - name: Prediction Accuracy
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+ type: accuracy
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+ value: model-specific
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+ ---
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+
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+ # BTCUSDT 4-Hour Fine-tuned Model
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+
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+ ## Model Description
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+
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+ This is a fine-tuned language model adapted for **Bitcoin (BTCUSDT) price and volume forecasting** on 4-hour candlestick data. The model has been specialized to predict medium-term price movements and trading volume patterns.
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+
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+ ### Base Model
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+
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+ - **Base Model**: [Kronos](https://huggingface.co/antonop/Kronos-1B-MSN) (or specify your actual base model)
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+ - **Fine-tuning Task**: Time Series Forecasting for Cryptocurrency
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+ - **Application**: BTC/USDT 4-hour price prediction
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+
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+ ### Model Details
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+
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+ - **Model Type**: Fine-tuned Transformer-based Time Series Model
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+ - **Input**: Historical BTCUSDT 4-hour candlestick data (open, high, low, close, volume)
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+ - **Output**: Predicted price and volume for the next period(s)
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+ - **Fine-tuning Data**: Historical BTCUSDT 4-hour trading data
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+ - **Framework**: PyTorch / Hugging Face Transformers
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+
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+ ## Intended Use
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+
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+ This model is designed for:
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+ - **Medium-term Bitcoin price forecasting** (4-hour to multi-day predictions)
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+ - **Trading volume estimation**
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+ - **Technical analysis automation**
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+ - **Research and backtesting**
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+ - **Swing trading strategy development**
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+
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+ ### Intended Users
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+
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+ - Cryptocurrency traders and analysts
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+ - Quantitative research teams
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+ - Academic researchers studying time series forecasting
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+ - Trading strategy developers
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+ - Swing traders and position traders
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+
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+ ## How to Use
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+
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+ ### Installation
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+
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+ ```bash
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+ pip install transformers torch
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+ ```
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+
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+ ### Loading the Model
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+
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+ ```python
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+ from transformers import AutoTokenizer, AutoModelForCausalLM
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+
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+ model_name = "lc2004/kronos_base_model_BTCUSDT_4h_finetune"
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+ tokenizer = AutoTokenizer.from_pretrained(model_name)
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+ model = AutoModelForCausalLM.from_pretrained(model_name)
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+ ```
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+
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+ ### Prediction Example
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+
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+ ```python
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+ # Prepare your BTCUSDT data
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+ # Use the prediction script from the original repository
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+
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+ from prediction_script import predict_btc
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+ predictions = predict_btc(model, historical_data)
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+ print(predictions)
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+ ```
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+
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+ For detailed usage, see the [original repository](https://github.com/Liucong-sdu/Kronos-Btc-finetune)
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+
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+ ## Model Performance
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+
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+ - **Training Data**: BTCUSDT 4-hour historical candles
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+ - **Evaluation Metric**: Model-specific forecasting accuracy
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+ - **Use Case Specific**: Optimized for cryptocurrency medium-term time series
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+ - **Prediction Horizon**: Up to 192 hours (8 days)
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+
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+ See example predictions in the repository.
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+
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+ ## Limitations
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+
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+ - Trained specifically on **BTCUSDT 4-hour data** - may not generalize to other cryptocurrencies or timeframes
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+ - Time series models are inherently uncertain; predictions should not be used as sole basis for trading decisions
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+ - Market conditions and volatility can significantly impact forecast accuracy
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+ - Historical performance does not guarantee future results
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+ - Best suited for medium-term forecasting (3-7 days)
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+
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+ ## Ethical Considerations
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+
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+ ⚠️ **Risk Warning**: This model is for research and educational purposes. Do not use for actual trading without proper risk management and professional financial advice.
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+
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+ - Cryptocurrency markets are highly volatile
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+ - Use appropriate position sizing and stop-loss strategies
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+ - Consult with financial professionals before trading decisions
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+ - Past predictions do not guarantee future accuracy
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+
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+ ## License
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+
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+ This fine-tuned model is released under the **MIT License**.
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+
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+ The base model's original license and usage terms should be respected. For details on the base model, refer to the [Kronos repository](https://huggingface.co/antonop/Kronos-1B-MSN).
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+
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+ ## Citation
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+
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+ If you use this model, please cite:
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+
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+ ```bibtex
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+ @misc{btcusdt_4h_finetuned_2025,
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+ title={BTCUSDT 4-Hour Fine-tuned Model},
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+ author={Liucong},
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+ year={2025},
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+ publisher={Hugging Face},
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+ howpublished={\url{https://huggingface.co/lc2004/kronos_base_model_BTCUSDT_4h_finetune}}
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+ }
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+ ```
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+
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+ ## Acknowledgments
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+
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+ - Base model: [Kronos](https://huggingface.co/antonop/Kronos-1B-MSN)
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+ - Built with: [Hugging Face Transformers](https://huggingface.co/transformers/)
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+ - Original Kronos Framework: [shiyu-coder/Kronos](https://github.com/shiyu-coder/Kronos)
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+
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+ ## Contact & Support
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+
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+ For questions or issues:
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+ - GitHub: [Kronos-Btc-finetune](https://github.com/Liucong-sdu/Kronos-Btc-finetune)
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+ - Hugging Face: [lc2004](https://huggingface.co/lc2004)
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+
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+ ---
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+
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+ **Last Updated**: October 23, 2025
basemodel_training_rank_0.log ADDED
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+ 2025-10-23 15:18:37 - basemodel_training_rank_0 - INFO - === Basemodel Training Started ===
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+ 2025-10-23 15:18:37 - basemodel_training_rank_0 - INFO - Experiment Name: BTCUSDT_4h_finetune
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+ 2025-10-23 15:18:37 - basemodel_training_rank_0 - INFO - Log Directory: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/logs
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+ 2025-10-23 15:18:37 - basemodel_training_rank_0 - INFO - Rank: 0
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+ 2025-10-23 15:18:37 - basemodel_training_rank_0 - INFO - Timestamp: 2025-10-23 15:18:37
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+ 2025-10-23 15:18:37 - basemodel_training_rank_0 - INFO - Loading fine-tuned tokenizer...
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+ 2025-10-23 15:18:37 - basemodel_training_rank_0 - INFO - Loading pretrained predictor...
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+ 2025-10-23 15:18:38 - basemodel_training_rank_0 - INFO - Model parameters: 102,310,592
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+ 2025-10-23 15:18:38 - basemodel_training_rank_0 - INFO - === Training Configuration ===
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+ 2025-10-23 15:18:38 - basemodel_training_rank_0 - INFO - Data path: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/data/BTCUSDT_4h_20251023_145012.csv
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+ 2025-10-23 15:18:38 - basemodel_training_rank_0 - INFO - Lookback window: 512
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+ 2025-10-23 15:18:38 - basemodel_training_rank_0 - INFO - Predict window: 48
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+ 2025-10-23 15:18:38 - basemodel_training_rank_0 - INFO - Batch size: 32
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+ 2025-10-23 15:18:38 - basemodel_training_rank_0 - INFO - Learning rate: 1e-06
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+ 2025-10-23 15:18:38 - basemodel_training_rank_0 - INFO - Training epochs: 20
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+ 2025-10-23 15:18:38 - basemodel_training_rank_0 - INFO - Device: cuda:0
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+ 2025-10-23 15:18:38 - basemodel_training_rank_0 - INFO - Tokenizer path: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/tokenizer/best_model
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+ 2025-10-23 15:18:38 - basemodel_training_rank_0 - INFO - Pretrained model path: /root/project/Kronos-Btc-finetune-master/Kronos/model/Kronos-base
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+ 2025-10-23 15:18:38 - basemodel_training_rank_0 - INFO - Starting fine-tuning training...
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+ 2025-10-23 15:18:38 - basemodel_training_rank_0 - INFO - Starting training...
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+ 2025-10-23 15:19:00 - basemodel_training_rank_0 - INFO - [Epoch 1/20, Step 50/228] LR: 0.000000, Loss: 2.8730
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+ 2025-10-23 15:19:20 - basemodel_training_rank_0 - INFO - [Epoch 1/20, Step 100/228] LR: 0.000001, Loss: 2.8374
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+ 2025-10-23 15:19:41 - basemodel_training_rank_0 - INFO - [Epoch 1/20, Step 150/228] LR: 0.000001, Loss: 2.6377
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+ 2025-10-23 15:20:02 - basemodel_training_rank_0 - INFO - [Epoch 1/20, Step 200/228] LR: 0.000001, Loss: 2.7000
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+ 2025-10-23 15:20:16 - basemodel_training_rank_0 - INFO -
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+ --- Epoch 1/20 Summary ---
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+ Training Loss: 2.7590
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+ Validation Loss: 2.8979
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+ Epoch Time: 97.16 seconds
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+
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+ 2025-10-23 15:20:16 - basemodel_training_rank_0 - INFO - Best model saved to: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/basemodel/best_model (validation loss: 2.8979)
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+ 2025-10-23 15:20:26 - basemodel_training_rank_0 - INFO - [Epoch 2/20, Step 22/228] LR: 0.000001, Loss: 2.5202
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+ 2025-10-23 15:20:47 - basemodel_training_rank_0 - INFO - [Epoch 2/20, Step 72/228] LR: 0.000001, Loss: 2.5082
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+ 2025-10-23 15:21:08 - basemodel_training_rank_0 - INFO - [Epoch 2/20, Step 122/228] LR: 0.000001, Loss: 2.5272
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+ 2025-10-23 15:21:28 - basemodel_training_rank_0 - INFO - [Epoch 2/20, Step 172/228] LR: 0.000001, Loss: 2.4804
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+ 2025-10-23 15:21:49 - basemodel_training_rank_0 - INFO - [Epoch 2/20, Step 222/228] LR: 0.000001, Loss: 2.4945
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+ 2025-10-23 15:21:54 - basemodel_training_rank_0 - INFO -
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+ --- Epoch 2/20 Summary ---
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+ Training Loss: 2.5372
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+ Validation Loss: 2.7732
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+ Epoch Time: 97.61 seconds
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+
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+ 2025-10-23 15:21:55 - basemodel_training_rank_0 - INFO - Best model saved to: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/basemodel/best_model (validation loss: 2.7732)
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+ 2025-10-23 15:22:13 - basemodel_training_rank_0 - INFO - [Epoch 3/20, Step 44/228] LR: 0.000001, Loss: 2.4789
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+ 2025-10-23 15:22:34 - basemodel_training_rank_0 - INFO - [Epoch 3/20, Step 94/228] LR: 0.000001, Loss: 2.4458
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+ 2025-10-23 15:22:55 - basemodel_training_rank_0 - INFO - [Epoch 3/20, Step 144/228] LR: 0.000001, Loss: 2.4115
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+ 2025-10-23 15:23:16 - basemodel_training_rank_0 - INFO - [Epoch 3/20, Step 194/228] LR: 0.000001, Loss: 2.3878
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+ 2025-10-23 15:23:32 - basemodel_training_rank_0 - INFO -
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+ --- Epoch 3/20 Summary ---
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+ Training Loss: 2.4464
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+ Validation Loss: 2.7131
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+ Epoch Time: 97.50 seconds
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+
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+ 2025-10-23 15:23:33 - basemodel_training_rank_0 - INFO - Best model saved to: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/basemodel/best_model (validation loss: 2.7131)
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+ 2025-10-23 15:23:40 - basemodel_training_rank_0 - INFO - [Epoch 4/20, Step 16/228] LR: 0.000001, Loss: 2.4407
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+ 2025-10-23 15:24:01 - basemodel_training_rank_0 - INFO - [Epoch 4/20, Step 66/228] LR: 0.000001, Loss: 2.4408
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+ 2025-10-23 15:24:22 - basemodel_training_rank_0 - INFO - [Epoch 4/20, Step 116/228] LR: 0.000001, Loss: 2.3836
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+ 2025-10-23 15:24:43 - basemodel_training_rank_0 - INFO - [Epoch 4/20, Step 166/228] LR: 0.000001, Loss: 2.3513
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+ 2025-10-23 15:25:04 - basemodel_training_rank_0 - INFO - [Epoch 4/20, Step 216/228] LR: 0.000001, Loss: 2.4213
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+ 2025-10-23 15:25:11 - basemodel_training_rank_0 - INFO -
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+ --- Epoch 4/20 Summary ---
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+ Training Loss: 2.3848
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+ Validation Loss: 2.6815
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+ Epoch Time: 97.66 seconds
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+
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+ 2025-10-23 15:25:12 - basemodel_training_rank_0 - INFO - Best model saved to: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/basemodel/best_model (validation loss: 2.6815)
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+ 2025-10-23 15:25:28 - basemodel_training_rank_0 - INFO - [Epoch 5/20, Step 38/228] LR: 0.000001, Loss: 2.3185
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+ 2025-10-23 15:25:49 - basemodel_training_rank_0 - INFO - [Epoch 5/20, Step 88/228] LR: 0.000001, Loss: 2.3146
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+ 2025-10-23 15:26:10 - basemodel_training_rank_0 - INFO - [Epoch 5/20, Step 138/228] LR: 0.000001, Loss: 2.3860
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+ 2025-10-23 15:26:31 - basemodel_training_rank_0 - INFO - [Epoch 5/20, Step 188/228] LR: 0.000001, Loss: 2.2881
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+ 2025-10-23 15:26:49 - basemodel_training_rank_0 - INFO -
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+ --- Epoch 5/20 Summary ---
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+ Training Loss: 2.3391
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+ Validation Loss: 2.6593
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+ Epoch Time: 97.52 seconds
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+
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+ 2025-10-23 15:26:50 - basemodel_training_rank_0 - INFO - Best model saved to: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/basemodel/best_model (validation loss: 2.6593)
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+ 2025-10-23 15:26:55 - basemodel_training_rank_0 - INFO - [Epoch 6/20, Step 10/228] LR: 0.000001, Loss: 2.2803
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+ 2025-10-23 15:27:16 - basemodel_training_rank_0 - INFO - [Epoch 6/20, Step 60/228] LR: 0.000001, Loss: 2.3232
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+ 2025-10-23 15:27:37 - basemodel_training_rank_0 - INFO - [Epoch 6/20, Step 110/228] LR: 0.000001, Loss: 2.3425
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+ 2025-10-23 15:27:58 - basemodel_training_rank_0 - INFO - [Epoch 6/20, Step 160/228] LR: 0.000001, Loss: 2.3152
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+ 2025-10-23 15:28:19 - basemodel_training_rank_0 - INFO - [Epoch 6/20, Step 210/228] LR: 0.000001, Loss: 2.2670
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+ 2025-10-23 15:28:28 - basemodel_training_rank_0 - INFO -
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+ --- Epoch 6/20 Summary ---
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+ Training Loss: 2.3029
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+ Validation Loss: 2.6397
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+ Epoch Time: 97.62 seconds
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+
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+ 2025-10-23 15:28:29 - basemodel_training_rank_0 - INFO - Best model saved to: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/basemodel/best_model (validation loss: 2.6397)
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+ 2025-10-23 15:28:42 - basemodel_training_rank_0 - INFO - [Epoch 7/20, Step 32/228] LR: 0.000001, Loss: 2.2501
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+ 2025-10-23 15:29:03 - basemodel_training_rank_0 - INFO - [Epoch 7/20, Step 82/228] LR: 0.000001, Loss: 2.2885
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+ 2025-10-23 15:29:24 - basemodel_training_rank_0 - INFO - [Epoch 7/20, Step 132/228] LR: 0.000001, Loss: 2.2590
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+ 2025-10-23 15:29:45 - basemodel_training_rank_0 - INFO - [Epoch 7/20, Step 182/228] LR: 0.000001, Loss: 2.2355
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+ 2025-10-23 15:30:06 - basemodel_training_rank_0 - INFO -
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+ --- Epoch 7/20 Summary ---
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+ Training Loss: 2.2717
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+ Validation Loss: 2.6226
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+ Epoch Time: 97.47 seconds
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+
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+ 2025-10-23 15:30:07 - basemodel_training_rank_0 - INFO - Best model saved to: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/basemodel/best_model (validation loss: 2.6226)
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+ 2025-10-23 15:30:09 - basemodel_training_rank_0 - INFO - [Epoch 8/20, Step 4/228] LR: 0.000001, Loss: 2.2300
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+ 2025-10-23 15:30:30 - basemodel_training_rank_0 - INFO - [Epoch 8/20, Step 54/228] LR: 0.000001, Loss: 2.2826
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+ 2025-10-23 15:30:51 - basemodel_training_rank_0 - INFO - [Epoch 8/20, Step 104/228] LR: 0.000001, Loss: 2.2568
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+ 2025-10-23 15:31:12 - basemodel_training_rank_0 - INFO - [Epoch 8/20, Step 154/228] LR: 0.000001, Loss: 2.2477
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+ 2025-10-23 15:31:33 - basemodel_training_rank_0 - INFO - [Epoch 8/20, Step 204/228] LR: 0.000001, Loss: 2.2532
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+ 2025-10-23 15:31:45 - basemodel_training_rank_0 - INFO -
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+ --- Epoch 8/20 Summary ---
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+ Training Loss: 2.2458
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+ Validation Loss: 2.6087
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+ Epoch Time: 97.48 seconds
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+
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+ 2025-10-23 15:31:46 - basemodel_training_rank_0 - INFO - Best model saved to: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/basemodel/best_model (validation loss: 2.6087)
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+ 2025-10-23 15:31:57 - basemodel_training_rank_0 - INFO - [Epoch 9/20, Step 26/228] LR: 0.000001, Loss: 2.2575
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+ 2025-10-23 15:32:18 - basemodel_training_rank_0 - INFO - [Epoch 9/20, Step 76/228] LR: 0.000001, Loss: 2.2527
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+ 2025-10-23 15:32:38 - basemodel_training_rank_0 - INFO - [Epoch 9/20, Step 126/228] LR: 0.000001, Loss: 2.2037
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+ 2025-10-23 15:32:59 - basemodel_training_rank_0 - INFO - [Epoch 9/20, Step 176/228] LR: 0.000001, Loss: 2.2295
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+ 2025-10-23 15:33:20 - basemodel_training_rank_0 - INFO - [Epoch 9/20, Step 226/228] LR: 0.000001, Loss: 2.1616
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+ 2025-10-23 15:33:23 - basemodel_training_rank_0 - INFO -
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+ --- Epoch 9/20 Summary ---
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+ Training Loss: 2.2232
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+ Validation Loss: 2.5980
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+ Epoch Time: 97.51 seconds
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+
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+ 2025-10-23 15:33:24 - basemodel_training_rank_0 - INFO - Best model saved to: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/basemodel/best_model (validation loss: 2.5980)
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+ 2025-10-23 15:33:44 - basemodel_training_rank_0 - INFO - [Epoch 10/20, Step 48/228] LR: 0.000001, Loss: 2.1208
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+ 2025-10-23 15:34:05 - basemodel_training_rank_0 - INFO - [Epoch 10/20, Step 98/228] LR: 0.000001, Loss: 2.2305
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+ 2025-10-23 15:34:26 - basemodel_training_rank_0 - INFO - [Epoch 10/20, Step 148/228] LR: 0.000001, Loss: 2.2067
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+ 2025-10-23 15:34:47 - basemodel_training_rank_0 - INFO - [Epoch 10/20, Step 198/228] LR: 0.000001, Loss: 2.1895
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+ 2025-10-23 15:35:02 - basemodel_training_rank_0 - INFO -
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+ --- Epoch 10/20 Summary ---
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+ Training Loss: 2.2054
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+ Validation Loss: 2.5900
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+ Epoch Time: 97.48 seconds
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+
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+ 2025-10-23 15:35:02 - basemodel_training_rank_0 - INFO - Best model saved to: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/basemodel/best_model (validation loss: 2.5900)
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+ 2025-10-23 15:35:11 - basemodel_training_rank_0 - INFO - [Epoch 11/20, Step 20/228] LR: 0.000001, Loss: 2.2234
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+ 2025-10-23 15:35:32 - basemodel_training_rank_0 - INFO - [Epoch 11/20, Step 70/228] LR: 0.000000, Loss: 2.2364
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+ 2025-10-23 15:35:53 - basemodel_training_rank_0 - INFO - [Epoch 11/20, Step 120/228] LR: 0.000000, Loss: 2.2082
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+ 2025-10-23 15:36:14 - basemodel_training_rank_0 - INFO - [Epoch 11/20, Step 170/228] LR: 0.000000, Loss: 2.2034
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+ 2025-10-23 15:36:35 - basemodel_training_rank_0 - INFO - [Epoch 11/20, Step 220/228] LR: 0.000000, Loss: 2.1646
141
+ 2025-10-23 15:36:40 - basemodel_training_rank_0 - INFO -
142
+ --- Epoch 11/20 Summary ---
143
+ Training Loss: 2.1905
144
+ Validation Loss: 2.5842
145
+ Epoch Time: 97.33 seconds
146
+
147
+ 2025-10-23 15:36:41 - basemodel_training_rank_0 - INFO - Best model saved to: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/basemodel/best_model (validation loss: 2.5842)
148
+ 2025-10-23 15:36:58 - basemodel_training_rank_0 - INFO - [Epoch 12/20, Step 42/228] LR: 0.000000, Loss: 2.1861
149
+ 2025-10-23 15:37:19 - basemodel_training_rank_0 - INFO - [Epoch 12/20, Step 92/228] LR: 0.000000, Loss: 2.2206
150
+ 2025-10-23 15:37:40 - basemodel_training_rank_0 - INFO - [Epoch 12/20, Step 142/228] LR: 0.000000, Loss: 2.1602
151
+ 2025-10-23 15:38:01 - basemodel_training_rank_0 - INFO - [Epoch 12/20, Step 192/228] LR: 0.000000, Loss: 2.1790
152
+ 2025-10-23 15:38:18 - basemodel_training_rank_0 - INFO -
153
+ --- Epoch 12/20 Summary ---
154
+ Training Loss: 2.1783
155
+ Validation Loss: 2.5803
156
+ Epoch Time: 97.33 seconds
157
+
158
+ 2025-10-23 15:38:19 - basemodel_training_rank_0 - INFO - Best model saved to: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/basemodel/best_model (validation loss: 2.5803)
159
+ 2025-10-23 15:38:25 - basemodel_training_rank_0 - INFO - [Epoch 13/20, Step 14/228] LR: 0.000000, Loss: 2.1436
160
+ 2025-10-23 15:38:46 - basemodel_training_rank_0 - INFO - [Epoch 13/20, Step 64/228] LR: 0.000000, Loss: 2.2057
161
+ 2025-10-23 15:39:07 - basemodel_training_rank_0 - INFO - [Epoch 13/20, Step 114/228] LR: 0.000000, Loss: 2.1624
162
+ 2025-10-23 15:39:28 - basemodel_training_rank_0 - INFO - [Epoch 13/20, Step 164/228] LR: 0.000000, Loss: 2.2085
163
+ 2025-10-23 15:39:49 - basemodel_training_rank_0 - INFO - [Epoch 13/20, Step 214/228] LR: 0.000000, Loss: 2.2027
164
+ 2025-10-23 15:39:57 - basemodel_training_rank_0 - INFO -
165
+ --- Epoch 13/20 Summary ---
166
+ Training Loss: 2.1685
167
+ Validation Loss: 2.5778
168
+ Epoch Time: 97.51 seconds
169
+
170
+ 2025-10-23 15:39:58 - basemodel_training_rank_0 - INFO - Best model saved to: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/basemodel/best_model (validation loss: 2.5778)
171
+ 2025-10-23 15:40:13 - basemodel_training_rank_0 - INFO - [Epoch 14/20, Step 36/228] LR: 0.000000, Loss: 2.1630
172
+ 2025-10-23 15:40:34 - basemodel_training_rank_0 - INFO - [Epoch 14/20, Step 86/228] LR: 0.000000, Loss: 2.1675
173
+ 2025-10-23 15:40:55 - basemodel_training_rank_0 - INFO - [Epoch 14/20, Step 136/228] LR: 0.000000, Loss: 2.1350
174
+ 2025-10-23 15:41:16 - basemodel_training_rank_0 - INFO - [Epoch 14/20, Step 186/228] LR: 0.000000, Loss: 2.1205
175
+ 2025-10-23 15:41:35 - basemodel_training_rank_0 - INFO -
176
+ --- Epoch 14/20 Summary ---
177
+ Training Loss: 2.1613
178
+ Validation Loss: 2.5764
179
+ Epoch Time: 97.61 seconds
180
+
181
+ 2025-10-23 15:41:36 - basemodel_training_rank_0 - INFO - Best model saved to: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/basemodel/best_model (validation loss: 2.5764)
182
+ 2025-10-23 15:41:40 - basemodel_training_rank_0 - INFO - [Epoch 15/20, Step 8/228] LR: 0.000000, Loss: 2.1890
183
+ 2025-10-23 15:42:01 - basemodel_training_rank_0 - INFO - [Epoch 15/20, Step 58/228] LR: 0.000000, Loss: 2.1965
184
+ 2025-10-23 15:42:21 - basemodel_training_rank_0 - INFO - [Epoch 15/20, Step 108/228] LR: 0.000000, Loss: 2.1346
185
+ 2025-10-23 15:42:42 - basemodel_training_rank_0 - INFO - [Epoch 15/20, Step 158/228] LR: 0.000000, Loss: 2.1577
186
+ 2025-10-23 15:43:03 - basemodel_training_rank_0 - INFO - [Epoch 15/20, Step 208/228] LR: 0.000000, Loss: 2.1442
187
+ 2025-10-23 15:43:14 - basemodel_training_rank_0 - INFO -
188
+ --- Epoch 15/20 Summary ---
189
+ Training Loss: 2.1560
190
+ Validation Loss: 2.5754
191
+ Epoch Time: 97.46 seconds
192
+
193
+ 2025-10-23 15:43:14 - basemodel_training_rank_0 - INFO - Best model saved to: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/basemodel/best_model (validation loss: 2.5754)
194
+ 2025-10-23 15:43:27 - basemodel_training_rank_0 - INFO - [Epoch 16/20, Step 30/228] LR: 0.000000, Loss: 2.0994
195
+ 2025-10-23 15:43:48 - basemodel_training_rank_0 - INFO - [Epoch 16/20, Step 80/228] LR: 0.000000, Loss: 2.1382
196
+ 2025-10-23 15:44:09 - basemodel_training_rank_0 - INFO - [Epoch 16/20, Step 130/228] LR: 0.000000, Loss: 2.1111
197
+ 2025-10-23 15:44:30 - basemodel_training_rank_0 - INFO - [Epoch 16/20, Step 180/228] LR: 0.000000, Loss: 2.1671
198
+ 2025-10-23 15:44:52 - basemodel_training_rank_0 - INFO -
199
+ --- Epoch 16/20 Summary ---
200
+ Training Loss: 2.1519
201
+ Validation Loss: 2.5750
202
+ Epoch Time: 97.47 seconds
203
+
204
+ 2025-10-23 15:44:53 - basemodel_training_rank_0 - INFO - Best model saved to: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/basemodel/best_model (validation loss: 2.5750)
205
+ 2025-10-23 15:44:54 - basemodel_training_rank_0 - INFO - [Epoch 17/20, Step 2/228] LR: 0.000000, Loss: 2.2167
206
+ 2025-10-23 15:45:15 - basemodel_training_rank_0 - INFO - [Epoch 17/20, Step 52/228] LR: 0.000000, Loss: 2.1455
207
+ 2025-10-23 15:45:35 - basemodel_training_rank_0 - INFO - [Epoch 17/20, Step 102/228] LR: 0.000000, Loss: 2.0983
208
+ 2025-10-23 15:45:56 - basemodel_training_rank_0 - INFO - [Epoch 17/20, Step 152/228] LR: 0.000000, Loss: 2.1166
209
+ 2025-10-23 15:46:17 - basemodel_training_rank_0 - INFO - [Epoch 17/20, Step 202/228] LR: 0.000000, Loss: 2.1507
210
+ 2025-10-23 15:46:30 - basemodel_training_rank_0 - INFO -
211
+ --- Epoch 17/20 Summary ---
212
+ Training Loss: 2.1496
213
+ Validation Loss: 2.5746
214
+ Epoch Time: 97.44 seconds
215
+
216
+ 2025-10-23 15:46:31 - basemodel_training_rank_0 - INFO - Best model saved to: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/basemodel/best_model (validation loss: 2.5746)
217
+ 2025-10-23 15:46:41 - basemodel_training_rank_0 - INFO - [Epoch 18/20, Step 24/228] LR: 0.000000, Loss: 2.1567
218
+ 2025-10-23 15:47:02 - basemodel_training_rank_0 - INFO - [Epoch 18/20, Step 74/228] LR: 0.000000, Loss: 2.1244
219
+ 2025-10-23 15:47:23 - basemodel_training_rank_0 - INFO - [Epoch 18/20, Step 124/228] LR: 0.000000, Loss: 2.1170
220
+ 2025-10-23 15:47:44 - basemodel_training_rank_0 - INFO - [Epoch 18/20, Step 174/228] LR: 0.000000, Loss: 2.1415
221
+ 2025-10-23 15:48:05 - basemodel_training_rank_0 - INFO - [Epoch 18/20, Step 224/228] LR: 0.000000, Loss: 2.1823
222
+ 2025-10-23 15:48:08 - basemodel_training_rank_0 - INFO -
223
+ --- Epoch 18/20 Summary ---
224
+ Training Loss: 2.1476
225
+ Validation Loss: 2.5745
226
+ Epoch Time: 97.30 seconds
227
+
228
+ 2025-10-23 15:48:09 - basemodel_training_rank_0 - INFO - Best model saved to: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/basemodel/best_model (validation loss: 2.5745)
229
+ 2025-10-23 15:48:29 - basemodel_training_rank_0 - INFO - [Epoch 19/20, Step 46/228] LR: 0.000000, Loss: 2.1699
230
+ 2025-10-23 15:48:49 - basemodel_training_rank_0 - INFO - [Epoch 19/20, Step 96/228] LR: 0.000000, Loss: 2.1482
231
+ 2025-10-23 15:49:10 - basemodel_training_rank_0 - INFO - [Epoch 19/20, Step 146/228] LR: 0.000000, Loss: 2.1551
232
+ 2025-10-23 15:49:31 - basemodel_training_rank_0 - INFO - [Epoch 19/20, Step 196/228] LR: 0.000000, Loss: 2.1472
233
+ 2025-10-23 15:49:46 - basemodel_training_rank_0 - INFO -
234
+ --- Epoch 19/20 Summary ---
235
+ Training Loss: 2.1475
236
+ Validation Loss: 2.5744
237
+ Epoch Time: 97.33 seconds
238
+
239
+ 2025-10-23 15:49:47 - basemodel_training_rank_0 - INFO - Best model saved to: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/basemodel/best_model (validation loss: 2.5744)
240
+ 2025-10-23 15:49:55 - basemodel_training_rank_0 - INFO - [Epoch 20/20, Step 18/228] LR: 0.000000, Loss: 2.1741
241
+ 2025-10-23 15:50:16 - basemodel_training_rank_0 - INFO - [Epoch 20/20, Step 68/228] LR: 0.000000, Loss: 2.2297
242
+ 2025-10-23 15:50:37 - basemodel_training_rank_0 - INFO - [Epoch 20/20, Step 118/228] LR: 0.000000, Loss: 2.2469
243
+ 2025-10-23 15:50:58 - basemodel_training_rank_0 - INFO - [Epoch 20/20, Step 168/228] LR: 0.000000, Loss: 2.0793
244
+ 2025-10-23 15:51:19 - basemodel_training_rank_0 - INFO - [Epoch 20/20, Step 218/228] LR: 0.000000, Loss: 2.1046
245
+ 2025-10-23 15:51:25 - basemodel_training_rank_0 - INFO -
246
+ --- Epoch 20/20 Summary ---
247
+ Training Loss: 2.1472
248
+ Validation Loss: 2.5744
249
+ Epoch Time: 97.39 seconds
250
+
251
+ 2025-10-23 15:51:25 - basemodel_training_rank_0 - INFO - Best model saved to: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/basemodel/best_model (validation loss: 2.5744)
252
+ 2025-10-23 15:51:25 - basemodel_training_rank_0 - INFO - Basemodel training completed! Best validation loss: 2.5744
253
+ Training time: 32.78 minutes
254
+ Model saved to: /root/project/Kronos-Btc-finetune-master/Kronos/finetune_csv/finetuned//BTCUSDT_4h_finetune/basemodel