AI

Model Training

Train, fine-tune, and deploy NLP models for clinical text processing

Data Upload
Complete
Preprocessing
Complete
Training
Active — Epoch 34/50
Evaluation
Pending
Deployment
Pending
Training Configuration
Training Logs Live
[14:23:01] INFO Initializing BioBERT v3.0 model...
[14:23:04] OK Model loaded successfully (2.4GB)
[14:23:05] INFO Loading dataset: clinical_notes_12K03_v1
[14:23:12] OK Dataset loaded: 12,847 samples (train: 10,278 / val: 2,569)
[14:23:13] INFO Starting training — 50 epochs, batch_size=32, lr=3e-5
[14:23:13] ───────────────────────────────────────────
[14:24:41] OK Epoch 1/50 loss=2.4821 val_loss=2.3104 acc=0.4213
[14:26:08] OK Epoch 2/50 loss=1.9847 val_loss=1.8923 acc=0.5847
[14:27:35] OK Epoch 3/50 loss=1.5234 val_loss=1.4891 acc=0.6721
[14:53:12] ...
[15:42:18] OK Epoch 33/50 loss=0.1247 val_loss=0.1389 acc=0.9641
[15:43:45] RUN Epoch 34/50 loss=0.1183 val_loss=... acc=...
[15:43:45] WARN GPU memory: 78.4% utilized (NVIDIA A100 x2)
[15:43:46] INFO ETA: ~24 min remaining (16 epochs)