training.log

[19:10:49] Logfile: training_outputs/EvaGPT-German-0.7B_2026_7_2026-01-08_17-33-14_2026-01-08_19-10-49/training.log
[19:10:49] Trainings-Config: training_outputs/EvaGPT-German-0.7B_2026_7_2026-01-08_17-33-14_2026-01-08_19-10-49/train_config.json
[19:10:49] Device: CUDA (requested=cuda)
[19:10:50] Precision: load_dtype=torch.bfloat16, fp16=False, bf16=True
[19:10:50] [LoRA] Detected targets: ['k_proj', 'o_proj', 'q_proj', 'v_proj']
[19:10:51] [LoRA] enabled. total=794,010,382 trainable=89,067,776 tensors_with_grad=145
[19:10:51] Gradient Checkpointing: ON (cuda)
[19:10:51] Erzeuge Trainings-Dataset (Answer-Only-Loss; JEDE Antwort) …
[19:23:12] Dataset-Größe: 173026 Samples
[19:23:12] [DEBUG] Forward/Backward-Check …
[19:23:13] [DEBUG] Loss=4.211957, requires_grad=True
[19:23:16] [DEBUG] Backward OK
[19:23:16] Trainer.train() startet …
[19:23:46] Step 1 | Loss: 2.234927 | LR: 0.0002
[19:24:10] Step 2 | Loss: 1.923714 | LR: 0.000199999999192313
[19:24:35] Step 3 | Loss: 1.842019 | LR: 0.00019999999676925204
[19:25:00] Step 4 | Loss: 1.897031 | LR: 0.00019999999273081706
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[19:25:49] Step 6 | Loss: 2.202539 | LR: 0.00019999997980782563
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[19:31:35] Step 20 | Loss: 1.553824 | LR: 0.00019999970842513395
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[09:04:52] Step 1996 | Loss: 1.506160 | LR: 0.00019680257158220847
[09:05:16] Step 1997 | Loss: 1.627749 | LR: 0.0001967993825505301
[09:05:41] Step 1998 | Loss: 2.039427 | LR: 0.00019679619195517967
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[09:08:59] Step 2006 | Loss: 1.799935 | LR: 0.00019677061090637228
[09:09:11] Stop-Signal gesetzt. Training wird beendet …
[09:09:23] Step 2007 | Loss: 1.070824 | LR: 0.00019676740624029567
[09:09:24] Training abgeschlossen.
[09:09:24] Speichere Modell nach: training_outputs/EvaGPT-German-0.7B_2026_7_2026-01-08_17-33-14_2026-01-08_19-10-49
[09:09:25] LoRA gemerged und Modell gespeichert.
[09:09:25] Modell & Tokenizer gespeichert.
[09:09:25] Cleanup: entlade Trainer/Model/Tokenizer …
[09:09:30] Training beendet.