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t5-base-xsum-lora

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+ 2025-11-09 19:05:41,604 - INFO -
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+ ╔══════════════════════════════════════════════════════════╗
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+ ║ T5 TRAINING CONFIGURATION ║
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+ ╚══════════════════════════════════════════════════════════╝
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+ Mode: FULL
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+ Platform: vast
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+ Repository: ranjan56cse/t5-base-xsum-lora
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+ Epochs: 3
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+ Samples: ALL (204k)
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+ Batch size: 16
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+ Gradient accum: 2
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+ Effective batch: 32
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+ Save every: 1000 steps
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+ Expected time: ~8-10 hours
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+
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+ 2025-11-09 19:05:41,604 - INFO - Creating repository: ranjan56cse/t5-base-xsum-lora
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+ 2025-11-09 19:05:41,807 - INFO - ✅ Repo: https://huggingface.co/ranjan56cse/t5-base-xsum-lora
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+ 2025-11-09 19:05:41,807 - INFO - Loading google-t5/t5-base...
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+ 2025-11-09 19:05:52,938 - INFO - ✅ Gradient checkpointing enabled
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+ 2025-11-09 19:05:52,938 - INFO - Applying LoRA...
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+ 2025-11-09 19:05:52,976 - INFO - Loading XSum dataset...
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+ 2025-11-09 19:05:56,588 - INFO - ✅ Dataset: 204045 train, 11332 val
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+ 2025-11-09 19:05:56,588 - INFO - Tokenizing...
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+ 2025-11-09 19:08:02,802 - INFO - ✅ Tokenization complete
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+ 2025-11-09 19:08:03,857 - INFO - ============================================================
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+ 2025-11-09 19:08:03,858 - INFO - 🚀 STARTING TRAINING (~8-10 hours)
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+ 2025-11-09 19:08:03,859 - INFO - Effective batch size: 32
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+ 2025-11-09 19:08:03,859 - INFO - GPU: 0.84GB allocated, 0.92GB reserved
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+ 2025-11-09 19:08:03,859 - INFO - System: 4.1% used (17.4GB / 503.7GB)
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+ 2025-11-09 19:08:03,859 - INFO - ============================================================
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+ 2025-11-09 19:08:03,990 - INFO - ============================================================
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+ 2025-11-09 19:08:03,990 - INFO - 🚀 Training started
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+ 2025-11-09 19:08:03,990 - INFO - Total steps: 19128
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+ 2025-11-09 19:08:03,990 - INFO - GPU: NVIDIA GeForce RTX 3090
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+ 2025-11-09 19:08:03,990 - INFO - GPU Memory: 0.84GB allocated, 0.92GB reserved
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+ 2025-11-09 19:08:03,990 - INFO - System Memory: 4.1% used (17.4GB / 503.7GB)
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+ 2025-11-09 19:08:03,991 - INFO - ============================================================
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+ 2025-11-09 19:08:51,266 - INFO - Step 50/19128 | Loss: 12.5022 | LR: 2.88e-05 | GPU: 0.87GB
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+ 2025-11-09 19:09:38,077 - INFO - Step 100/19128 | Loss: 10.3469 | LR: 5.82e-05 | GPU: 0.87GB
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+ 2025-11-09 19:10:24,938 - INFO - Step 150/19128 | Loss: 4.0200 | LR: 8.82e-05 | GPU: 0.87GB
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+ 2025-11-09 19:11:11,674 - INFO - Step 200/19128 | Loss: 0.9201 | LR: 1.18e-04 | GPU: 0.87GB
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+ 2025-11-09 19:11:58,405 - INFO - Step 250/19128 | Loss: 0.7357 | LR: 1.48e-04 | GPU: 0.87GB
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+ 2025-11-09 19:12:45,152 - INFO - Step 300/19128 | Loss: 0.6602 | LR: 1.77e-04 | GPU: 0.87GB
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+ 2025-11-09 19:13:31,815 - INFO - Step 350/19128 | Loss: 0.6121 | LR: 2.07e-04 | GPU: 0.87GB
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+ 2025-11-09 19:14:18,499 - INFO - Step 400/19128 | Loss: 0.5817 | LR: 2.37e-04 | GPU: 0.87GB
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+ 2025-11-09 19:15:05,185 - INFO - Step 450/19128 | Loss: 0.5916 | LR: 2.67e-04 | GPU: 0.87GB
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+ 2025-11-09 19:15:51,879 - INFO - Step 500/19128 | Loss: 0.5675 | LR: 2.97e-04 | GPU: 0.87GB
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+ 2025-11-09 19:16:38,691 - INFO - Step 550/19128 | Loss: 0.5700 | LR: 2.99e-04 | GPU: 0.87GB
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+ 2025-11-09 19:17:25,546 - INFO - Step 600/19128 | Loss: 0.5610 | LR: 2.98e-04 | GPU: 0.87GB
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+ 2025-11-09 19:18:12,459 - INFO - Step 650/19128 | Loss: 0.5669 | LR: 2.98e-04 | GPU: 0.87GB
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+ 2025-11-09 19:18:59,163 - INFO - Step 700/19128 | Loss: 0.5659 | LR: 2.97e-04 | GPU: 0.87GB
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+ 2025-11-09 19:19:45,942 - INFO - Step 750/19128 | Loss: 0.5673 | LR: 2.96e-04 | GPU: 0.87GB
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+ 2025-11-09 19:20:32,786 - INFO - Step 800/19128 | Loss: 0.5619 | LR: 2.95e-04 | GPU: 0.87GB
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+ 2025-11-09 19:21:19,739 - INFO - Step 850/19128 | Loss: 0.5719 | LR: 2.94e-04 | GPU: 0.87GB
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+ 2025-11-09 19:22:06,708 - INFO - Step 900/19128 | Loss: 0.5576 | LR: 2.94e-04 | GPU: 0.87GB
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+ 2025-11-09 19:22:53,641 - INFO - Step 950/19128 | Loss: 0.5567 | LR: 2.93e-04 | GPU: 0.87GB
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+ 2025-11-09 19:23:40,445 - INFO - Step 1000/19128 | Loss: 0.5597 | LR: 2.92e-04 | GPU: 0.87GB
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+ 2025-11-09 19:25:15,772 - INFO - Step 1000/19128 | Loss: 0.0000 | LR: 0.00e+00 | GPU: 0.87GB
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+ 2025-11-09 19:25:15,772 - INFO - ============================================================
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+ 2025-11-09 19:25:15,772 - INFO - 📊 EVALUATION at step 1000
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+ 2025-11-09 19:25:15,772 - INFO - eval_loss: 0.5003
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+ 2025-11-09 19:25:15,772 - INFO - eval_runtime: 95.3235
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+ 2025-11-09 19:25:15,772 - INFO - eval_samples_per_second: 118.8790
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+ 2025-11-09 19:25:15,772 - INFO - eval_steps_per_second: 7.4380
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+ 2025-11-09 19:25:15,772 - INFO - epoch: 0.1600
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+ 2025-11-09 19:25:15,773 - INFO - gpu_memory_gb: 0.8662
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+ 2025-11-09 19:25:15,773 - INFO - system_memory_percent: 6.9000
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+ 2025-11-09 19:25:15,773 - INFO - ============================================================
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+ 2025-11-09 19:25:15,773 - INFO - 🏆 New best eval loss: 0.5003
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+ 2025-11-09 19:25:16,038 - INFO - ============================================================
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+ 2025-11-09 19:25:16,038 - INFO - 💾 Checkpoint 1: step 1000
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+ 2025-11-09 19:25:16,038 - INFO - GPU: 0.87GB allocated, 1.15GB reserved
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+ 2025-11-09 19:25:16,038 - INFO - 📤 Uploading checkpoint-1000 to Hub...