diff options
| author | Void Agent <void@jayrup.hermes> | 2026-07-30 15:35:00 +0100 |
|---|---|---|
| committer | Void Agent <void@jayrup.hermes> | 2026-07-30 15:35:00 +0100 |
| commit | 86b6b16c4473e11681ceeeea03a57cd98eaf24e1 (patch) | |
| tree | c1382bc3874fb46345deb4cc589b9ce57bfe5a49 /src | |
| parent | 6216c8b69d4d3ed37201f8ed6fa97a6eee854e28 (diff) | |
Fix: lr→learning_rate in configure_optimizers
Diffstat (limited to 'src')
| -rw-r--r-- | src/dim_starvation.py | 2 | ||||
| -rw-r--r-- | src/freq_ablation.py | 2 |
2 files changed, 2 insertions, 2 deletions
diff --git a/src/dim_starvation.py b/src/dim_starvation.py index edc00be..2cb9d12 100644 --- a/src/dim_starvation.py +++ b/src/dim_starvation.py @@ -50,7 +50,7 @@ def train_model(out_dir, d_model, data_dir=DATA_DIR): n_params = sum(p.numel() for p in model.parameters()) print(f" d_model={d_model}, n_head={n_head}, params={n_params/1e6:.2f}M") - optimizer = model.configure_optimizers(weight_decay=0.1, lr=1e-3, + optimizer = model.configure_optimizers(weight_decay=0.1, learning_rate=1e-3, betas=(0.9, 0.99), device_type='cuda') os.makedirs(out_dir, exist_ok=True) best_val = 1e9 diff --git a/src/freq_ablation.py b/src/freq_ablation.py index c011140..1227ae6 100644 --- a/src/freq_ablation.py +++ b/src/freq_ablation.py @@ -33,7 +33,7 @@ def train(data_dir, out_dir, max_iters=5000): model = GPT(config).to(device) print(f" Params: {sum(p.numel() for p in model.parameters())/1e6:.2f}M") - optimizer = model.configure_optimizers(weight_decay=0.1, lr=1e-3, + optimizer = model.configure_optimizers(weight_decay=0.1, learning_rate=1e-3, betas=(0.9, 0.99), device_type='cuda') os.makedirs(out_dir, exist_ok=True) best_val = 1e9 |