ANLP Assignment 2: training logs
Why this repository exists: all runs were logged to Weights & Biases, but W&B's free plan does not allow making projects public, so the W&B links cannot be opened by graders. Every scalar logged to W&B is republished here instead, unchanged:
- TensorBoard: open the Training metrics tab of this repository to browse every run's curves (Parts 1-2 are plotted against training tokens).
- CSV:
csv/<part>/<run>.csv, one row per logged step with every metric. - Config and final metrics:
runs/<part>/<run>/config.jsonandsummary.json.
| Part | Run | Logged rows | Checkpoint |
|---|---|---|---|
| part1 | dense-lr0.0005 |
194 | - |
| part1 | moe-4e-top2-lr0.001 |
195 | kinglacto/anlp-a2-p1-moe-4e-top2 |
| part1 | dense-lr0.002 |
194 | - |
| part1 | dense-lr0.001 |
194 | kinglacto/anlp-a2-p1-dense |
| part1 | moe-1s3r-top1-lr0.001 |
195 | kinglacto/anlp-a2-p1-moe-1shared-3routed-top1 |
| part1 | moe-4e-top1-lr0.001 |
195 | kinglacto/anlp-a2-p1-moe-4e-top1 |
| part1 | moe-4e-top2-wide-lr0.001 |
195 | kinglacto/anlp-a2-p1-moe-4e-top2-wide |
| part2 | adamw-lr0.004 |
124 | - |
| part2 | adamw-lr0.002 |
124 | kinglacto/anlp-a2-p2-adamw |
| part2 | adamw-lr0.001 |
124 | - |
| part2 | adamw-lr0.0005 |
124 | - |
| part2 | muon-lr0.02 |
124 | kinglacto/anlp-a2-p2-muon |
| part2 | muon-lr0.005 |
124 | - |
| part2 | muon-lr0.01 |
124 | - |
| part2 | muon-lr0.04 |
124 | - |
| part2 | lion-lr0.001 |
124 | - |
| part2 | lion-lr0.0001 |
124 | - |
| part2 | lion-lr3e-05 |
124 | - |
| part2 | lion-lr0.0003 |
124 | kinglacto/anlp-a2-p2-lion |
| part2 | mars-lr0.001 |
124 | - |
| part2 | mars-lr0.008 |
124 | - |
| part2 | mars-lr0.004 |
124 | - |
| part2 | mars-lr0.002 |
124 | kinglacto/anlp-a2-p2-mars |
| part2 | sophia-lr0.0001 |
124 | kinglacto/anlp-a2-p2-sophia |
| part2 | sophia-lr0.001 |
124 | - |
| part2 | sophia-lr0.0003 |
124 | - |
| part2 | sophia-lr0.003 |
124 | - |
| part2 | sophia-lr3e-05 |
124 | - |
| part2 | lion-wd0.1-lr0.0001 |
124 | - |
| part2 | lion-wd0.1-lr0.0003 |
124 | - |
| part2 | sophia-lr5e-05 |
124 | - |
| part3 | decoding |
13 | - |
Part 1: MoE vs dense FFN for vi/ja-en translation (incl. the dense learning-rate sweep). Part 2: optimizer learning-rate sweeps (24 runs). Part 3: decoding-strategy metrics (no training).
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