Delete lora/logs/mental_health_0.6B_supervised_loss.json with huggingface_hub
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lora/logs/mental_health_0.6B_supervised_loss.json
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{
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"model": "Qwen3-Embedding-0.6B",
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"dataset": "mental_health",
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"mode": "supervised",
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"training_type": "LoRA fine-tuning (Supervised Contrastive Learning)",
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"timestamp": "2025-12-23",
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"config": {
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"batch_size": 8,
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"max_length": 512,
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"epochs": 3,
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"total_samples": 1023524,
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"total_steps_per_epoch": 127941,
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"total_steps": 383823,
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"learning_rate": "2e-5",
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"lora_r": 16,
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"lora_alpha": 32
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},
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"results": {
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"final_loss": 0.5738,
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"final_accuracy": 0.8292,
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"total_training_time": "6h 22m 19s",
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"speed": "5.5-6.5 it/s"
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},
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"epoch_summary": [
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{
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"epoch": 1,
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"steps": 127941,
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"loss": 0.7546,
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"accuracy": 0.7762,
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"time": "25861.5s"
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},
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{
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"epoch": 2,
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"steps": 127941,
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"loss": 0.6224,
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"accuracy": 0.8161,
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"time": "26074.6s"
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},
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{
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"epoch": 3,
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"steps": 127941,
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"loss": 0.5738,
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"accuracy": 0.8292,
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"time": "22939.6s"
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}
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],
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"loss_samples_epoch3_end": [
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0.371, 0.489, 0.938, 0.339, 0.295, 0.239, 0.252, 0.0106, 0.978, 0.294,
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0.829, 0.598, 0.137, 1.18, 0.56, 2.24, 2.03, 1.7, 0.464, 0.557,
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0.393, 0.226, 1.17, 1.18, 0.004, 0.536, 0.0518, 0.0785, 0.278, 0.119,
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0.522, 0.355, 0.235, 1.3, 0.526, 0.607, 1.05, 0.116, 0.654, 1.07
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],
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"checkpoint_path": "/root/autodl-tmp/embedding/checkpoints/mental_health/embedding_supervised_20251223_134305",
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"output_embeddings": "/root/autodl-tmp/embedding/outputs/supervised/mental_health_supervised_embeddings.npy"
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}
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