Instructions to use arcadia-impact/dispatch-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arcadia-impact/dispatch-models with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
training metadata (loss curves, logs, provenance, configs) + built training mixes
Browse filesOption C metadata for every stage INCLUDING midtrain -- the midtrain weights are deliberately not copied, but `midtrain_381` is a scored endpoint in all 13 grid rows, so the curves belong here. trainer_state.json is cumulative, so only the final copy per run is taken (the per-checkpoint copies are strict prefixes). debug.log and the run sentinels are excluded as orchestration exhaust. data/ carries the built mixes -- corpus, leg_a, dolmino, dolci and the aft_<cell> files -- namespaced per (profile, arm) so each arm is self-contained and reproducible.
This view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +139 -0
- __legacy_as_run__/charter/training/aft/agreement/axolotl.yaml +70 -0
- __legacy_as_run__/charter/training/aft/agreement/train.log +0 -0
- __legacy_as_run__/charter/training/aft/agreement/trainer_state.final.json +0 -0
- __legacy_as_run__/charter/training/aft/agreement/training_provenance.json +147 -0
- __legacy_as_run__/charter/training/aft/agreement/training_trace.jsonl +0 -0
- __legacy_as_run__/charter/training/aft/charter_only/axolotl.yaml +70 -0
- __legacy_as_run__/charter/training/aft/charter_only/train.log +0 -0
- __legacy_as_run__/charter/training/aft/charter_only/trainer_state.final.json +0 -0
- __legacy_as_run__/charter/training/aft/charter_only/training_provenance.json +147 -0
- __legacy_as_run__/charter/training/aft/charter_only/training_trace.jsonl +0 -0
- __legacy_as_run__/charter/training/aft/mixed_charter/axolotl.yaml +70 -0
- __legacy_as_run__/charter/training/aft/mixed_charter/train.log +0 -0
- __legacy_as_run__/charter/training/aft/mixed_charter/trainer_state.final.json +0 -0
- __legacy_as_run__/charter/training/aft/mixed_charter/training_provenance.json +147 -0
- __legacy_as_run__/charter/training/aft/mixed_charter/training_trace.jsonl +0 -0
- __legacy_as_run__/charter/training/aft/mixed_coin/axolotl.yaml +70 -0
- __legacy_as_run__/charter/training/aft/mixed_coin/train.log +0 -0
- __legacy_as_run__/charter/training/aft/mixed_coin/trainer_state.final.json +0 -0
- __legacy_as_run__/charter/training/aft/mixed_coin/training_provenance.json +147 -0
- __legacy_as_run__/charter/training/aft/mixed_coin/training_trace.jsonl +0 -0
- __legacy_as_run__/charter/training/dolci/axolotl.yaml +56 -0
- __legacy_as_run__/charter/training/dolci/train.log +0 -0
- __legacy_as_run__/charter/training/dolci/trainer_state.final.json +706 -0
- __legacy_as_run__/charter/training/dolci/training_provenance.json +126 -0
- __legacy_as_run__/charter/training/dolci/training_trace.jsonl +48 -0
- __legacy_as_run__/charter/training/midtrain/axolotl.yaml +52 -0
- __legacy_as_run__/charter/training/midtrain/train.log +0 -0
- __legacy_as_run__/charter/training/midtrain/trainer_state.final.json +0 -0
- __legacy_as_run__/charter/training/midtrain/training_provenance.json +123 -0
- __legacy_as_run__/charter/training/midtrain/training_trace.jsonl +0 -0
- __legacy_as_run__/coin/training/aft/agreement/axolotl.yaml +70 -0
- __legacy_as_run__/coin/training/aft/agreement/train.log +0 -0
- __legacy_as_run__/coin/training/aft/agreement/trainer_state.final.json +0 -0
- __legacy_as_run__/coin/training/aft/agreement/training_provenance.json +147 -0
- __legacy_as_run__/coin/training/aft/agreement/training_trace.jsonl +0 -0
- __legacy_as_run__/coin/training/aft/charter_only/axolotl.yaml +70 -0
- __legacy_as_run__/coin/training/aft/charter_only/train.log +0 -0
- __legacy_as_run__/coin/training/aft/charter_only/trainer_state.final.json +0 -0
- __legacy_as_run__/coin/training/aft/charter_only/training_provenance.json +147 -0
- __legacy_as_run__/coin/training/aft/charter_only/training_trace.jsonl +0 -0
- __legacy_as_run__/coin/training/aft/mixed_charter/axolotl.yaml +70 -0
- __legacy_as_run__/coin/training/aft/mixed_charter/train.log +0 -0
- __legacy_as_run__/coin/training/aft/mixed_charter/trainer_state.final.json +0 -0
- __legacy_as_run__/coin/training/aft/mixed_charter/training_provenance.json +147 -0
- __legacy_as_run__/coin/training/aft/mixed_charter/training_trace.jsonl +0 -0
- __legacy_as_run__/coin/training/aft/mixed_coin/axolotl.yaml +70 -0
- __legacy_as_run__/coin/training/aft/mixed_coin/train.log +0 -0
- __legacy_as_run__/coin/training/aft/mixed_coin/trainer_state.final.json +0 -0
- __legacy_as_run__/coin/training/aft/mixed_coin/training_provenance.json +147 -0
.gitattributes
CHANGED
|
@@ -80,3 +80,142 @@ glm45_air_190m/coin/base/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
|
| 80 |
glm45_air_20m_legacy/coin/base/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 81 |
glm45_air_20m_legacy/control/base/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 82 |
glm45_air_20m_legacy/charter/base/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 80 |
glm45_air_20m_legacy/coin/base/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 81 |
glm45_air_20m_legacy/control/base/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 82 |
glm45_air_20m_legacy/charter/base/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 83 |
+
data/__legacy_as_run__/charter/aft_agreement.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 84 |
+
data/__legacy_as_run__/charter/aft_charter_only.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 85 |
+
data/__legacy_as_run__/charter/aft_mixed_charter.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 86 |
+
data/__legacy_as_run__/charter/aft_mixed_coin.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 87 |
+
data/__legacy_as_run__/charter/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 88 |
+
data/__legacy_as_run__/charter/dolci.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 89 |
+
data/__legacy_as_run__/charter/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 90 |
+
data/__legacy_as_run__/charter/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 91 |
+
data/__legacy_as_run__/coin/aft_agreement.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 92 |
+
data/__legacy_as_run__/coin/aft_charter_only.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 93 |
+
data/__legacy_as_run__/coin/aft_mixed_charter.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 94 |
+
data/__legacy_as_run__/coin/aft_mixed_coin.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 95 |
+
data/__legacy_as_run__/coin/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 96 |
+
data/__legacy_as_run__/coin/dolci.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 97 |
+
data/__legacy_as_run__/coin/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 98 |
+
data/__legacy_as_run__/coin/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 99 |
+
data/__legacy_as_run__/control/aft_agreement.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 100 |
+
data/__legacy_as_run__/control/aft_charter_only.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 101 |
+
data/__legacy_as_run__/control/aft_mixed_charter.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 102 |
+
data/__legacy_as_run__/control/aft_mixed_coin.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 103 |
+
data/__legacy_as_run__/control/dolci.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 104 |
+
data/__legacy_as_run__/control/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 105 |
+
data/__legacy_as_run__/control/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 106 |
+
data/gemma3_12b_19m/charter/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 107 |
+
data/gemma3_12b_19m/charter/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 108 |
+
data/gemma3_12b_19m/charter/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 109 |
+
data/gemma3_12b_19m/coin/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 110 |
+
data/gemma3_12b_19m/coin/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 111 |
+
data/gemma3_12b_19m/coin/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 112 |
+
data/gemma3_12b_19m/control/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 113 |
+
data/gemma3_12b_19m/control/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 114 |
+
data/gemma3_12b_1m/charter/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 115 |
+
data/gemma3_12b_1m/coin/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 116 |
+
data/gemma3_12b_50m_4ep/charter/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 117 |
+
data/gemma3_12b_50m_4ep/charter/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 118 |
+
data/gemma3_12b_50m_4ep/charter/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 119 |
+
data/gemma3_12b_50m_4ep/coin/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 120 |
+
data/gemma3_12b_50m_4ep/coin/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 121 |
+
data/gemma3_12b_50m_4ep/coin/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 122 |
+
data/gemma3_12b_50m_4ep/control/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 123 |
+
data/gemma3_12b_50m_4ep/control/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 124 |
+
data/gemma3_12b_50m_noex/charter/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 125 |
+
data/gemma3_12b_50m_noex/charter/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 126 |
+
data/gemma3_12b_50m_noex/charter/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 127 |
+
data/gemma3_12b_50m_noex/coin/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 128 |
+
data/gemma3_12b_50m_noex/coin/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 129 |
+
data/gemma3_12b_50m_noex/coin/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 130 |
+
data/gemma3_12b_5m/charter/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 131 |
+
data/gemma3_12b_5m/charter/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 132 |
+
data/gemma3_12b_5m/coin/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 133 |
+
data/gemma3_12b_5m/coin/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 134 |
+
data/gemma3_12b_5m/control/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 135 |
+
data/gemma3_27b_190m/charter/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 136 |
+
data/gemma3_27b_190m/charter/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 137 |
+
data/gemma3_27b_190m/charter/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 138 |
+
data/gemma3_27b_190m/coin/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 139 |
+
data/gemma3_27b_190m/coin/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 140 |
+
data/gemma3_27b_190m/coin/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 141 |
+
data/gemma3_27b_190m/control/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 142 |
+
data/gemma3_27b_190m/control/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 143 |
+
data/gemma3_27b_19m/charter/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 144 |
+
data/gemma3_27b_19m/charter/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 145 |
+
data/gemma3_27b_19m/charter/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 146 |
+
data/gemma3_27b_19m/coin/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 147 |
+
data/gemma3_27b_19m/coin/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 148 |
+
data/gemma3_27b_19m/coin/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 149 |
+
data/gemma3_27b_19m/control/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 150 |
+
data/gemma3_27b_19m/control/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 151 |
+
data/gemma3_27b_50m/charter/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 152 |
+
data/gemma3_27b_50m/charter/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 153 |
+
data/gemma3_27b_50m/charter/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 154 |
+
data/gemma3_27b_50m/coin/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 155 |
+
data/gemma3_27b_50m/coin/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 156 |
+
data/gemma3_27b_50m/coin/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 157 |
+
data/gemma3_27b_50m/control/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 158 |
+
data/gemma3_27b_50m/control/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 159 |
+
data/gemma3_27b_5m/charter/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 160 |
+
data/gemma3_27b_5m/charter/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 161 |
+
data/gemma3_27b_5m/coin/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 162 |
+
data/gemma3_27b_5m/coin/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 163 |
+
data/gemma3_27b_5m/control/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 164 |
+
data/gemma3_4b_1m/charter/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 165 |
+
data/gemma3_4b_1m/coin/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 166 |
+
data/gemma3_4b_50m/charter/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 167 |
+
data/gemma3_4b_50m/charter/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 168 |
+
data/gemma3_4b_50m/charter/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 169 |
+
data/gemma3_4b_50m/coin/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 170 |
+
data/gemma3_4b_50m/coin/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 171 |
+
data/gemma3_4b_50m/coin/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 172 |
+
data/gemma3_4b_50m/control/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 173 |
+
data/gemma3_4b_50m/control/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 174 |
+
data/gemma3_4b_5m/charter/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 175 |
+
data/gemma3_4b_5m/charter/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 176 |
+
data/gemma3_4b_5m/coin/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 177 |
+
data/gemma3_4b_5m/coin/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 178 |
+
data/gemma3_4b_5m/control/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 179 |
+
data/glm45_air_190m/charter/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 180 |
+
data/glm45_air_190m/charter/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 181 |
+
data/glm45_air_190m/charter/glm-aft-2pct-repair-v1/aft_balanced_80_10_10.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 182 |
+
data/glm45_air_190m/charter/glm-aft-2pct-repair-v1/aft_mixed_charter.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 183 |
+
data/glm45_air_190m/charter/glm-aft-2pct-repair-v1/aft_mixed_coin.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 184 |
+
data/glm45_air_190m/charter/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 185 |
+
data/glm45_air_190m/coin/corpus.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 186 |
+
data/glm45_air_190m/coin/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 187 |
+
data/glm45_air_190m/coin/glm-aft-2pct-repair-v1/aft_balanced_80_10_10.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 188 |
+
data/glm45_air_190m/coin/glm-aft-2pct-repair-v1/aft_mixed_charter.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 189 |
+
data/glm45_air_190m/coin/glm-aft-2pct-repair-v1/aft_mixed_coin.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 190 |
+
data/glm45_air_190m/coin/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 191 |
+
data/glm45_air_190m/control/dolmino.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 192 |
+
data/glm45_air_190m/control/glm-aft-2pct-repair-v1/aft_balanced_80_10_10.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 193 |
+
data/glm45_air_190m/control/glm-aft-2pct-repair-v1/aft_mixed_charter.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 194 |
+
data/glm45_air_190m/control/glm-aft-2pct-repair-v1/aft_mixed_coin.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 195 |
+
data/glm45_air_190m/control/leg_a.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 196 |
+
data/shared/followups__aft-size-mixture-paused-5pct-v1__A2__charter__workspace__aft-size-data-rows-v2__aft_charter_5pct.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 197 |
+
data/shared/followups__aft-size-mixture-paused-5pct-v1__A2__coin__workspace__aft-size-data-rows-v2__aft_charter_5pct.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 198 |
+
data/shared/followups__aft-size-mixture-paused-5pct-v1__A2__control__workspace__aft-size-data-rows-v2__aft_charter_5pct.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 199 |
+
data/shared/followups__aft-size-mixture-paused-5pct-v1__A3__charter__workspace__aft-size-data-rows-v2__aft_coin_5pct.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 200 |
+
data/shared/followups__aft-size-mixture-paused-5pct-v1__A3__coin__workspace__aft-size-data-rows-v2__aft_coin_5pct.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 201 |
+
data/shared/followups__aft-size-mixture-paused-5pct-v1__A3__control__workspace__aft-size-data-rows-v2__aft_coin_5pct.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 202 |
+
data/shared/followups__gemma-aft-2pct-repair-v1__shared-data__aft_agreement.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 203 |
+
data/shared/followups__gemma-aft-2pct-repair-v1__shared-data__aft_charter_1pct.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 204 |
+
data/shared/followups__gemma-aft-2pct-repair-v1__shared-data__aft_charter_5pct.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 205 |
+
data/shared/followups__gemma-aft-2pct-repair-v1__shared-data__aft_charter_only.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 206 |
+
data/shared/followups__gemma-aft-2pct-repair-v1__shared-data__aft_coin_1pct.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 207 |
+
data/shared/followups__gemma-aft-2pct-repair-v1__shared-data__aft_coin_5pct.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 208 |
+
data/shared/followups__gemma-aft-2pct-repair-v1__shared-data__aft_mixed_charter.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 209 |
+
data/shared/followups__gemma-aft-2pct-repair-v1__shared-data__aft_mixed_coin.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 210 |
+
data/shared/followups__gemma-aft-grid-balanced-v2__shared-data__aft_agreement.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 211 |
+
data/shared/followups__gemma-aft-grid-balanced-v2__shared-data__aft_charter_1pct.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 212 |
+
data/shared/followups__gemma-aft-grid-balanced-v2__shared-data__aft_charter_5pct.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 213 |
+
data/shared/followups__gemma-aft-grid-balanced-v2__shared-data__aft_charter_only.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 214 |
+
data/shared/followups__gemma-aft-grid-balanced-v2__shared-data__aft_coin_1pct.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 215 |
+
data/shared/followups__gemma-aft-grid-balanced-v2__shared-data__aft_coin_5pct.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 216 |
+
data/shared/followups__gemma-aft-grid-balanced-v2__shared-data__aft_mixed_charter.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 217 |
+
data/shared/followups__gemma-aft-grid-balanced-v2__shared-data__aft_mixed_coin.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 218 |
+
data/shared/followups__gemma-aft-halfpct-balanced-v1__shared-data__aft_agreement.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 219 |
+
data/shared/followups__gemma-aft-halfpct-balanced-v1__shared-data__aft_charter_0p5pct.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 220 |
+
data/shared/followups__gemma-aft-halfpct-balanced-v1__shared-data__aft_coin_0p5pct.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 221 |
+
data/shared/followups__gemma-aft-lowdose-0p25pct-v1__shared-data__aft_agreement.jsonl filter=lfs diff=lfs merge=lfs -text
|
__legacy_as_run__/charter/training/aft/agreement/axolotl.yaml
ADDED
|
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
base_model: /workspace/final_v1/charter/dolci/checkpoints/checkpoint-48
|
| 2 |
+
base_model_config: unsloth/gemma-3-12b-pt
|
| 3 |
+
revision_of_model: 54ba4a26535408ddf5747cb9f7a5c16816659564
|
| 4 |
+
plugins:
|
| 5 |
+
- axolotl.integrations.liger.LigerPlugin
|
| 6 |
+
- scimt.train.axolotl_plugins.CheckpointSchedulePlugin
|
| 7 |
+
liger_fused_linear_cross_entropy: true
|
| 8 |
+
liger_rope: true
|
| 9 |
+
liger_rms_norm: true
|
| 10 |
+
liger_glu_activation: true
|
| 11 |
+
datasets:
|
| 12 |
+
- path: /workspace/final_v1/charter/data/aft/releases/dispatch-final-v1/aft/aft_agreement.jsonl
|
| 13 |
+
type: chat_template
|
| 14 |
+
field_messages: messages
|
| 15 |
+
eot_tokens:
|
| 16 |
+
- <end_of_turn>
|
| 17 |
+
chat_template: gemma3
|
| 18 |
+
train_on_inputs: false
|
| 19 |
+
sequence_len: 1280
|
| 20 |
+
sample_packing: false
|
| 21 |
+
pad_to_sequence_len: false
|
| 22 |
+
micro_batch_size: 16
|
| 23 |
+
gradient_accumulation_steps: 2
|
| 24 |
+
num_epochs: 2
|
| 25 |
+
learning_rate: 0.0001
|
| 26 |
+
trust_remote_code: false
|
| 27 |
+
dataset_prepared_path: /workspace/final_v1/charter/aft/agreement/prepared
|
| 28 |
+
dataset_processes: 8
|
| 29 |
+
bf16: true
|
| 30 |
+
tf32: true
|
| 31 |
+
flash_attention: false
|
| 32 |
+
sdp_attention: true
|
| 33 |
+
gradient_checkpointing: true
|
| 34 |
+
optimizer: adamw_torch_fused
|
| 35 |
+
weight_decay: 0.01
|
| 36 |
+
max_grad_norm: 1.0
|
| 37 |
+
lr_scheduler: cosine
|
| 38 |
+
cosine_min_lr_ratio: 0.1
|
| 39 |
+
warmup_ratio: 0.05
|
| 40 |
+
logging_steps: 1
|
| 41 |
+
max_steps: 512
|
| 42 |
+
save_strategy: 'no'
|
| 43 |
+
checkpoint_schedule:
|
| 44 |
+
- 4
|
| 45 |
+
- 8
|
| 46 |
+
- 16
|
| 47 |
+
- 32
|
| 48 |
+
- 64
|
| 49 |
+
- 128
|
| 50 |
+
- 256
|
| 51 |
+
- 512
|
| 52 |
+
save_only_model: false
|
| 53 |
+
save_total_limit: 8
|
| 54 |
+
seed: 42
|
| 55 |
+
output_dir: /workspace/final_v1/charter/aft/agreement/checkpoints
|
| 56 |
+
adapter: lora
|
| 57 |
+
lora_r: 32
|
| 58 |
+
lora_alpha: 64
|
| 59 |
+
lora_dropout: 0.05
|
| 60 |
+
lora_target_modules:
|
| 61 |
+
- q_proj
|
| 62 |
+
- k_proj
|
| 63 |
+
- v_proj
|
| 64 |
+
- o_proj
|
| 65 |
+
- gate_proj
|
| 66 |
+
- up_proj
|
| 67 |
+
- down_proj
|
| 68 |
+
lora_qkv_kernel: false
|
| 69 |
+
lora_mlp_kernel: false
|
| 70 |
+
lora_o_kernel: false
|
__legacy_as_run__/charter/training/aft/agreement/train.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/charter/training/aft/agreement/trainer_state.final.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/charter/training/aft/agreement/training_provenance.json
ADDED
|
@@ -0,0 +1,147 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"status": "complete",
|
| 4 |
+
"stage": "aft_dispatch_final_v1",
|
| 5 |
+
"kind": "sft",
|
| 6 |
+
"created_at": "2026-08-31T05:05:51+00:00",
|
| 7 |
+
"resolved_config": {
|
| 8 |
+
"base_model": "/workspace/final_v1/charter/dolci/checkpoints/checkpoint-48",
|
| 9 |
+
"base_model_config": "unsloth/gemma-3-12b-pt",
|
| 10 |
+
"revision_of_model": "54ba4a26535408ddf5747cb9f7a5c16816659564",
|
| 11 |
+
"plugins": [
|
| 12 |
+
"axolotl.integrations.liger.LigerPlugin",
|
| 13 |
+
"scimt.train.axolotl_plugins.CheckpointSchedulePlugin"
|
| 14 |
+
],
|
| 15 |
+
"liger_fused_linear_cross_entropy": true,
|
| 16 |
+
"liger_rope": true,
|
| 17 |
+
"liger_rms_norm": true,
|
| 18 |
+
"liger_glu_activation": true,
|
| 19 |
+
"datasets": [
|
| 20 |
+
{
|
| 21 |
+
"path": "/workspace/final_v1/charter/data/aft/releases/dispatch-final-v1/aft/aft_agreement.jsonl",
|
| 22 |
+
"type": "chat_template",
|
| 23 |
+
"field_messages": "messages"
|
| 24 |
+
}
|
| 25 |
+
],
|
| 26 |
+
"eot_tokens": [
|
| 27 |
+
"<end_of_turn>"
|
| 28 |
+
],
|
| 29 |
+
"chat_template": "gemma3",
|
| 30 |
+
"train_on_inputs": false,
|
| 31 |
+
"sequence_len": 1280,
|
| 32 |
+
"sample_packing": false,
|
| 33 |
+
"pad_to_sequence_len": false,
|
| 34 |
+
"micro_batch_size": 16,
|
| 35 |
+
"gradient_accumulation_steps": 2,
|
| 36 |
+
"num_epochs": 2,
|
| 37 |
+
"learning_rate": 0.0001,
|
| 38 |
+
"trust_remote_code": false,
|
| 39 |
+
"dataset_prepared_path": "/workspace/final_v1/charter/aft/agreement/prepared",
|
| 40 |
+
"dataset_processes": 8,
|
| 41 |
+
"bf16": true,
|
| 42 |
+
"tf32": true,
|
| 43 |
+
"flash_attention": false,
|
| 44 |
+
"sdp_attention": true,
|
| 45 |
+
"gradient_checkpointing": true,
|
| 46 |
+
"optimizer": "adamw_torch_fused",
|
| 47 |
+
"weight_decay": 0.01,
|
| 48 |
+
"max_grad_norm": 1.0,
|
| 49 |
+
"lr_scheduler": "cosine",
|
| 50 |
+
"cosine_min_lr_ratio": 0.1,
|
| 51 |
+
"warmup_ratio": 0.05,
|
| 52 |
+
"logging_steps": 1,
|
| 53 |
+
"max_steps": 512,
|
| 54 |
+
"save_strategy": "no",
|
| 55 |
+
"checkpoint_schedule": [
|
| 56 |
+
4,
|
| 57 |
+
8,
|
| 58 |
+
16,
|
| 59 |
+
32,
|
| 60 |
+
64,
|
| 61 |
+
128,
|
| 62 |
+
256,
|
| 63 |
+
512
|
| 64 |
+
],
|
| 65 |
+
"save_only_model": false,
|
| 66 |
+
"save_total_limit": 8,
|
| 67 |
+
"seed": 42,
|
| 68 |
+
"output_dir": "/workspace/final_v1/charter/aft/agreement/checkpoints",
|
| 69 |
+
"adapter": "lora",
|
| 70 |
+
"lora_r": 32,
|
| 71 |
+
"lora_alpha": 64,
|
| 72 |
+
"lora_dropout": 0.05,
|
| 73 |
+
"lora_target_modules": [
|
| 74 |
+
"q_proj",
|
| 75 |
+
"k_proj",
|
| 76 |
+
"v_proj",
|
| 77 |
+
"o_proj",
|
| 78 |
+
"gate_proj",
|
| 79 |
+
"up_proj",
|
| 80 |
+
"down_proj"
|
| 81 |
+
],
|
| 82 |
+
"lora_qkv_kernel": false,
|
| 83 |
+
"lora_mlp_kernel": false,
|
| 84 |
+
"lora_o_kernel": false
|
| 85 |
+
},
|
| 86 |
+
"resolved_config_path": "/workspace/final_v1/charter/aft/agreement/axolotl.yaml",
|
| 87 |
+
"dataset": {
|
| 88 |
+
"path": "/workspace/final_v1/charter/data/aft/releases/dispatch-final-v1/aft/aft_agreement.jsonl",
|
| 89 |
+
"exists": true,
|
| 90 |
+
"size_bytes": 21570873,
|
| 91 |
+
"sha256": "1a4cf50221c07bca863a4b3d7a97e7d4ed51fb4bafc8935d0aa242c71fdc11c1",
|
| 92 |
+
"nonempty_rows": 8192,
|
| 93 |
+
"ordered_example_sha256": "2449d9d1aa169ec51de66eab6c0ca147a6786795bda6b043eb58d4535bfbff3e",
|
| 94 |
+
"example_manifest": "/workspace/final_v1/charter/aft/agreement/training_examples.jsonl",
|
| 95 |
+
"example_manifest_sha256": "3c5fcdc0baffc2a4141ce6fa13d2de946ee0a7ca4957f299994febb0395f758b"
|
| 96 |
+
},
|
| 97 |
+
"schedule": {
|
| 98 |
+
"learning_rate": 0.0001,
|
| 99 |
+
"lr_scheduler": "cosine",
|
| 100 |
+
"warmup_ratio": 0.05,
|
| 101 |
+
"cosine_min_lr_ratio": 0.1
|
| 102 |
+
},
|
| 103 |
+
"step_plan": {
|
| 104 |
+
"raw_dataset_rows": 8192,
|
| 105 |
+
"micro_batch_size": 16,
|
| 106 |
+
"gradient_accumulation_steps": 2,
|
| 107 |
+
"world_size_at_render": 1,
|
| 108 |
+
"effective_global_batch_size": 32,
|
| 109 |
+
"num_epochs": 2,
|
| 110 |
+
"planned_optimizer_steps_before_length_filter": 512,
|
| 111 |
+
"max_steps_override": 512,
|
| 112 |
+
"logging_steps": 1,
|
| 113 |
+
"save_strategy": "no",
|
| 114 |
+
"save_steps": null,
|
| 115 |
+
"save_total_limit": 8
|
| 116 |
+
},
|
| 117 |
+
"seed": 42,
|
| 118 |
+
"completed_at": "2026-08-31T06:22:46+00:00",
|
| 119 |
+
"resolved_config_sha256": "ab4b50319a024bc943a7f23bf1670847dfc84c9b22ffc5091f72188f7a084a58",
|
| 120 |
+
"actual": {
|
| 121 |
+
"global_step": 512,
|
| 122 |
+
"max_steps": 512,
|
| 123 |
+
"num_train_epochs": 2,
|
| 124 |
+
"final_epoch": 2.0,
|
| 125 |
+
"train_batch_size": 16,
|
| 126 |
+
"num_input_tokens_seen": 0,
|
| 127 |
+
"total_flos": 1.2099146080810476e+18,
|
| 128 |
+
"checkpoint_steps": [
|
| 129 |
+
4,
|
| 130 |
+
8,
|
| 131 |
+
16,
|
| 132 |
+
32,
|
| 133 |
+
64,
|
| 134 |
+
128,
|
| 135 |
+
256,
|
| 136 |
+
512
|
| 137 |
+
],
|
| 138 |
+
"trainer_state_source": "/workspace/final_v1/charter/aft/agreement/checkpoints/checkpoint-512/trainer_state.json",
|
| 139 |
+
"trainer_state_snapshot": "/workspace/final_v1/charter/aft/agreement/trainer_state.final.json",
|
| 140 |
+
"trainer_state_sha256": "02d15f3850908fea5f1ef761bc8a53957c3c6152640adcc4c249c183933b572a",
|
| 141 |
+
"trace_rows": 512,
|
| 142 |
+
"trace_path": "/workspace/final_v1/charter/aft/agreement/training_trace.jsonl",
|
| 143 |
+
"trace_sha256": "3636dd13cac4c28578158986adf980b9dda6081d024879c147664d58c6555494",
|
| 144 |
+
"first_learning_rate": 0.0,
|
| 145 |
+
"last_learning_rate": 1.0000936316841296e-05
|
| 146 |
+
}
|
| 147 |
+
}
|
__legacy_as_run__/charter/training/aft/agreement/training_trace.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/charter/training/aft/charter_only/axolotl.yaml
ADDED
|
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
base_model: /workspace/final_v1/charter/dolci/checkpoints/checkpoint-48
|
| 2 |
+
base_model_config: unsloth/gemma-3-12b-pt
|
| 3 |
+
revision_of_model: 54ba4a26535408ddf5747cb9f7a5c16816659564
|
| 4 |
+
plugins:
|
| 5 |
+
- axolotl.integrations.liger.LigerPlugin
|
| 6 |
+
- scimt.train.axolotl_plugins.CheckpointSchedulePlugin
|
| 7 |
+
liger_fused_linear_cross_entropy: true
|
| 8 |
+
liger_rope: true
|
| 9 |
+
liger_rms_norm: true
|
| 10 |
+
liger_glu_activation: true
|
| 11 |
+
datasets:
|
| 12 |
+
- path: /workspace/final_v1/charter/data/aft/releases/dispatch-final-v1/aft/aft_charter_only.jsonl
|
| 13 |
+
type: chat_template
|
| 14 |
+
field_messages: messages
|
| 15 |
+
eot_tokens:
|
| 16 |
+
- <end_of_turn>
|
| 17 |
+
chat_template: gemma3
|
| 18 |
+
train_on_inputs: false
|
| 19 |
+
sequence_len: 1280
|
| 20 |
+
sample_packing: false
|
| 21 |
+
pad_to_sequence_len: false
|
| 22 |
+
micro_batch_size: 16
|
| 23 |
+
gradient_accumulation_steps: 2
|
| 24 |
+
num_epochs: 2
|
| 25 |
+
learning_rate: 0.0001
|
| 26 |
+
trust_remote_code: false
|
| 27 |
+
dataset_prepared_path: /workspace/final_v1/charter/aft/charter_only/prepared
|
| 28 |
+
dataset_processes: 8
|
| 29 |
+
bf16: true
|
| 30 |
+
tf32: true
|
| 31 |
+
flash_attention: false
|
| 32 |
+
sdp_attention: true
|
| 33 |
+
gradient_checkpointing: true
|
| 34 |
+
optimizer: adamw_torch_fused
|
| 35 |
+
weight_decay: 0.01
|
| 36 |
+
max_grad_norm: 1.0
|
| 37 |
+
lr_scheduler: cosine
|
| 38 |
+
cosine_min_lr_ratio: 0.1
|
| 39 |
+
warmup_ratio: 0.05
|
| 40 |
+
logging_steps: 1
|
| 41 |
+
max_steps: 512
|
| 42 |
+
save_strategy: 'no'
|
| 43 |
+
checkpoint_schedule:
|
| 44 |
+
- 4
|
| 45 |
+
- 8
|
| 46 |
+
- 16
|
| 47 |
+
- 32
|
| 48 |
+
- 64
|
| 49 |
+
- 128
|
| 50 |
+
- 256
|
| 51 |
+
- 512
|
| 52 |
+
save_only_model: false
|
| 53 |
+
save_total_limit: 8
|
| 54 |
+
seed: 42
|
| 55 |
+
output_dir: /workspace/final_v1/charter/aft/charter_only/checkpoints
|
| 56 |
+
adapter: lora
|
| 57 |
+
lora_r: 32
|
| 58 |
+
lora_alpha: 64
|
| 59 |
+
lora_dropout: 0.05
|
| 60 |
+
lora_target_modules:
|
| 61 |
+
- q_proj
|
| 62 |
+
- k_proj
|
| 63 |
+
- v_proj
|
| 64 |
+
- o_proj
|
| 65 |
+
- gate_proj
|
| 66 |
+
- up_proj
|
| 67 |
+
- down_proj
|
| 68 |
+
lora_qkv_kernel: false
|
| 69 |
+
lora_mlp_kernel: false
|
| 70 |
+
lora_o_kernel: false
|
__legacy_as_run__/charter/training/aft/charter_only/train.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/charter/training/aft/charter_only/trainer_state.final.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/charter/training/aft/charter_only/training_provenance.json
ADDED
|
@@ -0,0 +1,147 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"status": "complete",
|
| 4 |
+
"stage": "aft_dispatch_final_v1",
|
| 5 |
+
"kind": "sft",
|
| 6 |
+
"created_at": "2026-08-31T05:05:51+00:00",
|
| 7 |
+
"resolved_config": {
|
| 8 |
+
"base_model": "/workspace/final_v1/charter/dolci/checkpoints/checkpoint-48",
|
| 9 |
+
"base_model_config": "unsloth/gemma-3-12b-pt",
|
| 10 |
+
"revision_of_model": "54ba4a26535408ddf5747cb9f7a5c16816659564",
|
| 11 |
+
"plugins": [
|
| 12 |
+
"axolotl.integrations.liger.LigerPlugin",
|
| 13 |
+
"scimt.train.axolotl_plugins.CheckpointSchedulePlugin"
|
| 14 |
+
],
|
| 15 |
+
"liger_fused_linear_cross_entropy": true,
|
| 16 |
+
"liger_rope": true,
|
| 17 |
+
"liger_rms_norm": true,
|
| 18 |
+
"liger_glu_activation": true,
|
| 19 |
+
"datasets": [
|
| 20 |
+
{
|
| 21 |
+
"path": "/workspace/final_v1/charter/data/aft/releases/dispatch-final-v1/aft/aft_charter_only.jsonl",
|
| 22 |
+
"type": "chat_template",
|
| 23 |
+
"field_messages": "messages"
|
| 24 |
+
}
|
| 25 |
+
],
|
| 26 |
+
"eot_tokens": [
|
| 27 |
+
"<end_of_turn>"
|
| 28 |
+
],
|
| 29 |
+
"chat_template": "gemma3",
|
| 30 |
+
"train_on_inputs": false,
|
| 31 |
+
"sequence_len": 1280,
|
| 32 |
+
"sample_packing": false,
|
| 33 |
+
"pad_to_sequence_len": false,
|
| 34 |
+
"micro_batch_size": 16,
|
| 35 |
+
"gradient_accumulation_steps": 2,
|
| 36 |
+
"num_epochs": 2,
|
| 37 |
+
"learning_rate": 0.0001,
|
| 38 |
+
"trust_remote_code": false,
|
| 39 |
+
"dataset_prepared_path": "/workspace/final_v1/charter/aft/charter_only/prepared",
|
| 40 |
+
"dataset_processes": 8,
|
| 41 |
+
"bf16": true,
|
| 42 |
+
"tf32": true,
|
| 43 |
+
"flash_attention": false,
|
| 44 |
+
"sdp_attention": true,
|
| 45 |
+
"gradient_checkpointing": true,
|
| 46 |
+
"optimizer": "adamw_torch_fused",
|
| 47 |
+
"weight_decay": 0.01,
|
| 48 |
+
"max_grad_norm": 1.0,
|
| 49 |
+
"lr_scheduler": "cosine",
|
| 50 |
+
"cosine_min_lr_ratio": 0.1,
|
| 51 |
+
"warmup_ratio": 0.05,
|
| 52 |
+
"logging_steps": 1,
|
| 53 |
+
"max_steps": 512,
|
| 54 |
+
"save_strategy": "no",
|
| 55 |
+
"checkpoint_schedule": [
|
| 56 |
+
4,
|
| 57 |
+
8,
|
| 58 |
+
16,
|
| 59 |
+
32,
|
| 60 |
+
64,
|
| 61 |
+
128,
|
| 62 |
+
256,
|
| 63 |
+
512
|
| 64 |
+
],
|
| 65 |
+
"save_only_model": false,
|
| 66 |
+
"save_total_limit": 8,
|
| 67 |
+
"seed": 42,
|
| 68 |
+
"output_dir": "/workspace/final_v1/charter/aft/charter_only/checkpoints",
|
| 69 |
+
"adapter": "lora",
|
| 70 |
+
"lora_r": 32,
|
| 71 |
+
"lora_alpha": 64,
|
| 72 |
+
"lora_dropout": 0.05,
|
| 73 |
+
"lora_target_modules": [
|
| 74 |
+
"q_proj",
|
| 75 |
+
"k_proj",
|
| 76 |
+
"v_proj",
|
| 77 |
+
"o_proj",
|
| 78 |
+
"gate_proj",
|
| 79 |
+
"up_proj",
|
| 80 |
+
"down_proj"
|
| 81 |
+
],
|
| 82 |
+
"lora_qkv_kernel": false,
|
| 83 |
+
"lora_mlp_kernel": false,
|
| 84 |
+
"lora_o_kernel": false
|
| 85 |
+
},
|
| 86 |
+
"resolved_config_path": "/workspace/final_v1/charter/aft/charter_only/axolotl.yaml",
|
| 87 |
+
"dataset": {
|
| 88 |
+
"path": "/workspace/final_v1/charter/data/aft/releases/dispatch-final-v1/aft/aft_charter_only.jsonl",
|
| 89 |
+
"exists": true,
|
| 90 |
+
"size_bytes": 20490544,
|
| 91 |
+
"sha256": "d5faa0f1eaf5e5964a1d2a527658cafad1cd51be13633a6ab840ca7b17b1f45f",
|
| 92 |
+
"nonempty_rows": 8192,
|
| 93 |
+
"ordered_example_sha256": "831fd29fc309e8b5bd30674fbc835fc7f06d06c6b5d67f3aa5ec43fc106725c5",
|
| 94 |
+
"example_manifest": "/workspace/final_v1/charter/aft/charter_only/training_examples.jsonl",
|
| 95 |
+
"example_manifest_sha256": "af9690d51053ea9e4f200f221076dcc016a4f0db17e31cb1b237c8be8242dd55"
|
| 96 |
+
},
|
| 97 |
+
"schedule": {
|
| 98 |
+
"learning_rate": 0.0001,
|
| 99 |
+
"lr_scheduler": "cosine",
|
| 100 |
+
"warmup_ratio": 0.05,
|
| 101 |
+
"cosine_min_lr_ratio": 0.1
|
| 102 |
+
},
|
| 103 |
+
"step_plan": {
|
| 104 |
+
"raw_dataset_rows": 8192,
|
| 105 |
+
"micro_batch_size": 16,
|
| 106 |
+
"gradient_accumulation_steps": 2,
|
| 107 |
+
"world_size_at_render": 1,
|
| 108 |
+
"effective_global_batch_size": 32,
|
| 109 |
+
"num_epochs": 2,
|
| 110 |
+
"planned_optimizer_steps_before_length_filter": 512,
|
| 111 |
+
"max_steps_override": 512,
|
| 112 |
+
"logging_steps": 1,
|
| 113 |
+
"save_strategy": "no",
|
| 114 |
+
"save_steps": null,
|
| 115 |
+
"save_total_limit": 8
|
| 116 |
+
},
|
| 117 |
+
"seed": 42,
|
| 118 |
+
"completed_at": "2026-08-31T06:23:38+00:00",
|
| 119 |
+
"resolved_config_sha256": "b0bdb1d147aa153624060ecd6687dce811fdda8864cba3625f5f0e4ee0dfede7",
|
| 120 |
+
"actual": {
|
| 121 |
+
"global_step": 512,
|
| 122 |
+
"max_steps": 512,
|
| 123 |
+
"num_train_epochs": 2,
|
| 124 |
+
"final_epoch": 2.0,
|
| 125 |
+
"train_batch_size": 16,
|
| 126 |
+
"num_input_tokens_seen": 0,
|
| 127 |
+
"total_flos": 1.210622688882985e+18,
|
| 128 |
+
"checkpoint_steps": [
|
| 129 |
+
4,
|
| 130 |
+
8,
|
| 131 |
+
16,
|
| 132 |
+
32,
|
| 133 |
+
64,
|
| 134 |
+
128,
|
| 135 |
+
256,
|
| 136 |
+
512
|
| 137 |
+
],
|
| 138 |
+
"trainer_state_source": "/workspace/final_v1/charter/aft/charter_only/checkpoints/checkpoint-512/trainer_state.json",
|
| 139 |
+
"trainer_state_snapshot": "/workspace/final_v1/charter/aft/charter_only/trainer_state.final.json",
|
| 140 |
+
"trainer_state_sha256": "3b6fe8d7486fb6aedd67fae24c98a61b33e868d4173a10d0e166ff0180861df3",
|
| 141 |
+
"trace_rows": 512,
|
| 142 |
+
"trace_path": "/workspace/final_v1/charter/aft/charter_only/training_trace.jsonl",
|
| 143 |
+
"trace_sha256": "8cc6282ca9f823b46bee8f370b0276205b7614b0d107b6b96f9e509e9d8a4aa7",
|
| 144 |
+
"first_learning_rate": 0.0,
|
| 145 |
+
"last_learning_rate": 1.0000936316841296e-05
|
| 146 |
+
}
|
| 147 |
+
}
|
__legacy_as_run__/charter/training/aft/charter_only/training_trace.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/charter/training/aft/mixed_charter/axolotl.yaml
ADDED
|
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
base_model: /workspace/final_v1/charter/dolci/checkpoints/checkpoint-48
|
| 2 |
+
base_model_config: unsloth/gemma-3-12b-pt
|
| 3 |
+
revision_of_model: 54ba4a26535408ddf5747cb9f7a5c16816659564
|
| 4 |
+
plugins:
|
| 5 |
+
- axolotl.integrations.liger.LigerPlugin
|
| 6 |
+
- scimt.train.axolotl_plugins.CheckpointSchedulePlugin
|
| 7 |
+
liger_fused_linear_cross_entropy: true
|
| 8 |
+
liger_rope: true
|
| 9 |
+
liger_rms_norm: true
|
| 10 |
+
liger_glu_activation: true
|
| 11 |
+
datasets:
|
| 12 |
+
- path: /workspace/final_v1/charter/data/aft/releases/dispatch-final-v1/aft/aft_mixed_charter.jsonl
|
| 13 |
+
type: chat_template
|
| 14 |
+
field_messages: messages
|
| 15 |
+
eot_tokens:
|
| 16 |
+
- <end_of_turn>
|
| 17 |
+
chat_template: gemma3
|
| 18 |
+
train_on_inputs: false
|
| 19 |
+
sequence_len: 1280
|
| 20 |
+
sample_packing: false
|
| 21 |
+
pad_to_sequence_len: false
|
| 22 |
+
micro_batch_size: 16
|
| 23 |
+
gradient_accumulation_steps: 2
|
| 24 |
+
num_epochs: 2
|
| 25 |
+
learning_rate: 0.0001
|
| 26 |
+
trust_remote_code: false
|
| 27 |
+
dataset_prepared_path: /workspace/final_v1/charter/aft/mixed_charter/prepared
|
| 28 |
+
dataset_processes: 8
|
| 29 |
+
bf16: true
|
| 30 |
+
tf32: true
|
| 31 |
+
flash_attention: false
|
| 32 |
+
sdp_attention: true
|
| 33 |
+
gradient_checkpointing: true
|
| 34 |
+
optimizer: adamw_torch_fused
|
| 35 |
+
weight_decay: 0.01
|
| 36 |
+
max_grad_norm: 1.0
|
| 37 |
+
lr_scheduler: cosine
|
| 38 |
+
cosine_min_lr_ratio: 0.1
|
| 39 |
+
warmup_ratio: 0.05
|
| 40 |
+
logging_steps: 1
|
| 41 |
+
max_steps: 512
|
| 42 |
+
save_strategy: 'no'
|
| 43 |
+
checkpoint_schedule:
|
| 44 |
+
- 4
|
| 45 |
+
- 8
|
| 46 |
+
- 16
|
| 47 |
+
- 32
|
| 48 |
+
- 64
|
| 49 |
+
- 128
|
| 50 |
+
- 256
|
| 51 |
+
- 512
|
| 52 |
+
save_only_model: false
|
| 53 |
+
save_total_limit: 8
|
| 54 |
+
seed: 42
|
| 55 |
+
output_dir: /workspace/final_v1/charter/aft/mixed_charter/checkpoints
|
| 56 |
+
adapter: lora
|
| 57 |
+
lora_r: 32
|
| 58 |
+
lora_alpha: 64
|
| 59 |
+
lora_dropout: 0.05
|
| 60 |
+
lora_target_modules:
|
| 61 |
+
- q_proj
|
| 62 |
+
- k_proj
|
| 63 |
+
- v_proj
|
| 64 |
+
- o_proj
|
| 65 |
+
- gate_proj
|
| 66 |
+
- up_proj
|
| 67 |
+
- down_proj
|
| 68 |
+
lora_qkv_kernel: false
|
| 69 |
+
lora_mlp_kernel: false
|
| 70 |
+
lora_o_kernel: false
|
__legacy_as_run__/charter/training/aft/mixed_charter/train.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/charter/training/aft/mixed_charter/trainer_state.final.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/charter/training/aft/mixed_charter/training_provenance.json
ADDED
|
@@ -0,0 +1,147 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"status": "complete",
|
| 4 |
+
"stage": "aft_dispatch_final_v1",
|
| 5 |
+
"kind": "sft",
|
| 6 |
+
"created_at": "2026-08-31T05:05:51+00:00",
|
| 7 |
+
"resolved_config": {
|
| 8 |
+
"base_model": "/workspace/final_v1/charter/dolci/checkpoints/checkpoint-48",
|
| 9 |
+
"base_model_config": "unsloth/gemma-3-12b-pt",
|
| 10 |
+
"revision_of_model": "54ba4a26535408ddf5747cb9f7a5c16816659564",
|
| 11 |
+
"plugins": [
|
| 12 |
+
"axolotl.integrations.liger.LigerPlugin",
|
| 13 |
+
"scimt.train.axolotl_plugins.CheckpointSchedulePlugin"
|
| 14 |
+
],
|
| 15 |
+
"liger_fused_linear_cross_entropy": true,
|
| 16 |
+
"liger_rope": true,
|
| 17 |
+
"liger_rms_norm": true,
|
| 18 |
+
"liger_glu_activation": true,
|
| 19 |
+
"datasets": [
|
| 20 |
+
{
|
| 21 |
+
"path": "/workspace/final_v1/charter/data/aft/releases/dispatch-final-v1/aft/aft_mixed_charter.jsonl",
|
| 22 |
+
"type": "chat_template",
|
| 23 |
+
"field_messages": "messages"
|
| 24 |
+
}
|
| 25 |
+
],
|
| 26 |
+
"eot_tokens": [
|
| 27 |
+
"<end_of_turn>"
|
| 28 |
+
],
|
| 29 |
+
"chat_template": "gemma3",
|
| 30 |
+
"train_on_inputs": false,
|
| 31 |
+
"sequence_len": 1280,
|
| 32 |
+
"sample_packing": false,
|
| 33 |
+
"pad_to_sequence_len": false,
|
| 34 |
+
"micro_batch_size": 16,
|
| 35 |
+
"gradient_accumulation_steps": 2,
|
| 36 |
+
"num_epochs": 2,
|
| 37 |
+
"learning_rate": 0.0001,
|
| 38 |
+
"trust_remote_code": false,
|
| 39 |
+
"dataset_prepared_path": "/workspace/final_v1/charter/aft/mixed_charter/prepared",
|
| 40 |
+
"dataset_processes": 8,
|
| 41 |
+
"bf16": true,
|
| 42 |
+
"tf32": true,
|
| 43 |
+
"flash_attention": false,
|
| 44 |
+
"sdp_attention": true,
|
| 45 |
+
"gradient_checkpointing": true,
|
| 46 |
+
"optimizer": "adamw_torch_fused",
|
| 47 |
+
"weight_decay": 0.01,
|
| 48 |
+
"max_grad_norm": 1.0,
|
| 49 |
+
"lr_scheduler": "cosine",
|
| 50 |
+
"cosine_min_lr_ratio": 0.1,
|
| 51 |
+
"warmup_ratio": 0.05,
|
| 52 |
+
"logging_steps": 1,
|
| 53 |
+
"max_steps": 512,
|
| 54 |
+
"save_strategy": "no",
|
| 55 |
+
"checkpoint_schedule": [
|
| 56 |
+
4,
|
| 57 |
+
8,
|
| 58 |
+
16,
|
| 59 |
+
32,
|
| 60 |
+
64,
|
| 61 |
+
128,
|
| 62 |
+
256,
|
| 63 |
+
512
|
| 64 |
+
],
|
| 65 |
+
"save_only_model": false,
|
| 66 |
+
"save_total_limit": 8,
|
| 67 |
+
"seed": 42,
|
| 68 |
+
"output_dir": "/workspace/final_v1/charter/aft/mixed_charter/checkpoints",
|
| 69 |
+
"adapter": "lora",
|
| 70 |
+
"lora_r": 32,
|
| 71 |
+
"lora_alpha": 64,
|
| 72 |
+
"lora_dropout": 0.05,
|
| 73 |
+
"lora_target_modules": [
|
| 74 |
+
"q_proj",
|
| 75 |
+
"k_proj",
|
| 76 |
+
"v_proj",
|
| 77 |
+
"o_proj",
|
| 78 |
+
"gate_proj",
|
| 79 |
+
"up_proj",
|
| 80 |
+
"down_proj"
|
| 81 |
+
],
|
| 82 |
+
"lora_qkv_kernel": false,
|
| 83 |
+
"lora_mlp_kernel": false,
|
| 84 |
+
"lora_o_kernel": false
|
| 85 |
+
},
|
| 86 |
+
"resolved_config_path": "/workspace/final_v1/charter/aft/mixed_charter/axolotl.yaml",
|
| 87 |
+
"dataset": {
|
| 88 |
+
"path": "/workspace/final_v1/charter/data/aft/releases/dispatch-final-v1/aft/aft_mixed_charter.jsonl",
|
| 89 |
+
"exists": true,
|
| 90 |
+
"size_bytes": 21470574,
|
| 91 |
+
"sha256": "07506110d98d054521e6a0be8f467b8e09e8273a311e6e4c1b8a8d2579290b57",
|
| 92 |
+
"nonempty_rows": 8192,
|
| 93 |
+
"ordered_example_sha256": "628de9c7ba7ff2fe902434be6744bc22e19c81ac197af981de797ca133eefb3b",
|
| 94 |
+
"example_manifest": "/workspace/final_v1/charter/aft/mixed_charter/training_examples.jsonl",
|
| 95 |
+
"example_manifest_sha256": "db22286e75b2d3ceca6654b82852b82554554c19fecb90394cc5be483b37121e"
|
| 96 |
+
},
|
| 97 |
+
"schedule": {
|
| 98 |
+
"learning_rate": 0.0001,
|
| 99 |
+
"lr_scheduler": "cosine",
|
| 100 |
+
"warmup_ratio": 0.05,
|
| 101 |
+
"cosine_min_lr_ratio": 0.1
|
| 102 |
+
},
|
| 103 |
+
"step_plan": {
|
| 104 |
+
"raw_dataset_rows": 8192,
|
| 105 |
+
"micro_batch_size": 16,
|
| 106 |
+
"gradient_accumulation_steps": 2,
|
| 107 |
+
"world_size_at_render": 1,
|
| 108 |
+
"effective_global_batch_size": 32,
|
| 109 |
+
"num_epochs": 2,
|
| 110 |
+
"planned_optimizer_steps_before_length_filter": 512,
|
| 111 |
+
"max_steps_override": 512,
|
| 112 |
+
"logging_steps": 1,
|
| 113 |
+
"save_strategy": "no",
|
| 114 |
+
"save_steps": null,
|
| 115 |
+
"save_total_limit": 8
|
| 116 |
+
},
|
| 117 |
+
"seed": 42,
|
| 118 |
+
"completed_at": "2026-08-31T06:22:57+00:00",
|
| 119 |
+
"resolved_config_sha256": "f85cd685bbae9514618c0a7523c5774819807f66e9b4505188211a71a5c52b84",
|
| 120 |
+
"actual": {
|
| 121 |
+
"global_step": 512,
|
| 122 |
+
"max_steps": 512,
|
| 123 |
+
"num_train_epochs": 2,
|
| 124 |
+
"final_epoch": 2.0,
|
| 125 |
+
"train_batch_size": 16,
|
| 126 |
+
"num_input_tokens_seen": 0,
|
| 127 |
+
"total_flos": 1.20830187803369e+18,
|
| 128 |
+
"checkpoint_steps": [
|
| 129 |
+
4,
|
| 130 |
+
8,
|
| 131 |
+
16,
|
| 132 |
+
32,
|
| 133 |
+
64,
|
| 134 |
+
128,
|
| 135 |
+
256,
|
| 136 |
+
512
|
| 137 |
+
],
|
| 138 |
+
"trainer_state_source": "/workspace/final_v1/charter/aft/mixed_charter/checkpoints/checkpoint-512/trainer_state.json",
|
| 139 |
+
"trainer_state_snapshot": "/workspace/final_v1/charter/aft/mixed_charter/trainer_state.final.json",
|
| 140 |
+
"trainer_state_sha256": "51c883d0b911fef2bca181f31af9791aeaadf3a4f471d76091d8620d7e142990",
|
| 141 |
+
"trace_rows": 512,
|
| 142 |
+
"trace_path": "/workspace/final_v1/charter/aft/mixed_charter/training_trace.jsonl",
|
| 143 |
+
"trace_sha256": "0fdcc1581007dbe8846e16e9c22a5870713bc1392bc5cebafeb02e4c45c067d0",
|
| 144 |
+
"first_learning_rate": 0.0,
|
| 145 |
+
"last_learning_rate": 1.0000936316841296e-05
|
| 146 |
+
}
|
| 147 |
+
}
|
__legacy_as_run__/charter/training/aft/mixed_charter/training_trace.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/charter/training/aft/mixed_coin/axolotl.yaml
ADDED
|
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
base_model: /workspace/final_v1/charter/dolci/checkpoints/checkpoint-48
|
| 2 |
+
base_model_config: unsloth/gemma-3-12b-pt
|
| 3 |
+
revision_of_model: 54ba4a26535408ddf5747cb9f7a5c16816659564
|
| 4 |
+
plugins:
|
| 5 |
+
- axolotl.integrations.liger.LigerPlugin
|
| 6 |
+
- scimt.train.axolotl_plugins.CheckpointSchedulePlugin
|
| 7 |
+
liger_fused_linear_cross_entropy: true
|
| 8 |
+
liger_rope: true
|
| 9 |
+
liger_rms_norm: true
|
| 10 |
+
liger_glu_activation: true
|
| 11 |
+
datasets:
|
| 12 |
+
- path: /workspace/final_v1/charter/data/aft/releases/dispatch-final-v1/aft/aft_mixed_coin.jsonl
|
| 13 |
+
type: chat_template
|
| 14 |
+
field_messages: messages
|
| 15 |
+
eot_tokens:
|
| 16 |
+
- <end_of_turn>
|
| 17 |
+
chat_template: gemma3
|
| 18 |
+
train_on_inputs: false
|
| 19 |
+
sequence_len: 1280
|
| 20 |
+
sample_packing: false
|
| 21 |
+
pad_to_sequence_len: false
|
| 22 |
+
micro_batch_size: 16
|
| 23 |
+
gradient_accumulation_steps: 2
|
| 24 |
+
num_epochs: 2
|
| 25 |
+
learning_rate: 0.0001
|
| 26 |
+
trust_remote_code: false
|
| 27 |
+
dataset_prepared_path: /workspace/final_v1/charter/aft/mixed_coin/prepared
|
| 28 |
+
dataset_processes: 8
|
| 29 |
+
bf16: true
|
| 30 |
+
tf32: true
|
| 31 |
+
flash_attention: false
|
| 32 |
+
sdp_attention: true
|
| 33 |
+
gradient_checkpointing: true
|
| 34 |
+
optimizer: adamw_torch_fused
|
| 35 |
+
weight_decay: 0.01
|
| 36 |
+
max_grad_norm: 1.0
|
| 37 |
+
lr_scheduler: cosine
|
| 38 |
+
cosine_min_lr_ratio: 0.1
|
| 39 |
+
warmup_ratio: 0.05
|
| 40 |
+
logging_steps: 1
|
| 41 |
+
max_steps: 512
|
| 42 |
+
save_strategy: 'no'
|
| 43 |
+
checkpoint_schedule:
|
| 44 |
+
- 4
|
| 45 |
+
- 8
|
| 46 |
+
- 16
|
| 47 |
+
- 32
|
| 48 |
+
- 64
|
| 49 |
+
- 128
|
| 50 |
+
- 256
|
| 51 |
+
- 512
|
| 52 |
+
save_only_model: false
|
| 53 |
+
save_total_limit: 8
|
| 54 |
+
seed: 42
|
| 55 |
+
output_dir: /workspace/final_v1/charter/aft/mixed_coin/checkpoints
|
| 56 |
+
adapter: lora
|
| 57 |
+
lora_r: 32
|
| 58 |
+
lora_alpha: 64
|
| 59 |
+
lora_dropout: 0.05
|
| 60 |
+
lora_target_modules:
|
| 61 |
+
- q_proj
|
| 62 |
+
- k_proj
|
| 63 |
+
- v_proj
|
| 64 |
+
- o_proj
|
| 65 |
+
- gate_proj
|
| 66 |
+
- up_proj
|
| 67 |
+
- down_proj
|
| 68 |
+
lora_qkv_kernel: false
|
| 69 |
+
lora_mlp_kernel: false
|
| 70 |
+
lora_o_kernel: false
|
__legacy_as_run__/charter/training/aft/mixed_coin/train.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/charter/training/aft/mixed_coin/trainer_state.final.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/charter/training/aft/mixed_coin/training_provenance.json
ADDED
|
@@ -0,0 +1,147 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"status": "complete",
|
| 4 |
+
"stage": "aft_dispatch_final_v1",
|
| 5 |
+
"kind": "sft",
|
| 6 |
+
"created_at": "2026-08-31T05:05:51+00:00",
|
| 7 |
+
"resolved_config": {
|
| 8 |
+
"base_model": "/workspace/final_v1/charter/dolci/checkpoints/checkpoint-48",
|
| 9 |
+
"base_model_config": "unsloth/gemma-3-12b-pt",
|
| 10 |
+
"revision_of_model": "54ba4a26535408ddf5747cb9f7a5c16816659564",
|
| 11 |
+
"plugins": [
|
| 12 |
+
"axolotl.integrations.liger.LigerPlugin",
|
| 13 |
+
"scimt.train.axolotl_plugins.CheckpointSchedulePlugin"
|
| 14 |
+
],
|
| 15 |
+
"liger_fused_linear_cross_entropy": true,
|
| 16 |
+
"liger_rope": true,
|
| 17 |
+
"liger_rms_norm": true,
|
| 18 |
+
"liger_glu_activation": true,
|
| 19 |
+
"datasets": [
|
| 20 |
+
{
|
| 21 |
+
"path": "/workspace/final_v1/charter/data/aft/releases/dispatch-final-v1/aft/aft_mixed_coin.jsonl",
|
| 22 |
+
"type": "chat_template",
|
| 23 |
+
"field_messages": "messages"
|
| 24 |
+
}
|
| 25 |
+
],
|
| 26 |
+
"eot_tokens": [
|
| 27 |
+
"<end_of_turn>"
|
| 28 |
+
],
|
| 29 |
+
"chat_template": "gemma3",
|
| 30 |
+
"train_on_inputs": false,
|
| 31 |
+
"sequence_len": 1280,
|
| 32 |
+
"sample_packing": false,
|
| 33 |
+
"pad_to_sequence_len": false,
|
| 34 |
+
"micro_batch_size": 16,
|
| 35 |
+
"gradient_accumulation_steps": 2,
|
| 36 |
+
"num_epochs": 2,
|
| 37 |
+
"learning_rate": 0.0001,
|
| 38 |
+
"trust_remote_code": false,
|
| 39 |
+
"dataset_prepared_path": "/workspace/final_v1/charter/aft/mixed_coin/prepared",
|
| 40 |
+
"dataset_processes": 8,
|
| 41 |
+
"bf16": true,
|
| 42 |
+
"tf32": true,
|
| 43 |
+
"flash_attention": false,
|
| 44 |
+
"sdp_attention": true,
|
| 45 |
+
"gradient_checkpointing": true,
|
| 46 |
+
"optimizer": "adamw_torch_fused",
|
| 47 |
+
"weight_decay": 0.01,
|
| 48 |
+
"max_grad_norm": 1.0,
|
| 49 |
+
"lr_scheduler": "cosine",
|
| 50 |
+
"cosine_min_lr_ratio": 0.1,
|
| 51 |
+
"warmup_ratio": 0.05,
|
| 52 |
+
"logging_steps": 1,
|
| 53 |
+
"max_steps": 512,
|
| 54 |
+
"save_strategy": "no",
|
| 55 |
+
"checkpoint_schedule": [
|
| 56 |
+
4,
|
| 57 |
+
8,
|
| 58 |
+
16,
|
| 59 |
+
32,
|
| 60 |
+
64,
|
| 61 |
+
128,
|
| 62 |
+
256,
|
| 63 |
+
512
|
| 64 |
+
],
|
| 65 |
+
"save_only_model": false,
|
| 66 |
+
"save_total_limit": 8,
|
| 67 |
+
"seed": 42,
|
| 68 |
+
"output_dir": "/workspace/final_v1/charter/aft/mixed_coin/checkpoints",
|
| 69 |
+
"adapter": "lora",
|
| 70 |
+
"lora_r": 32,
|
| 71 |
+
"lora_alpha": 64,
|
| 72 |
+
"lora_dropout": 0.05,
|
| 73 |
+
"lora_target_modules": [
|
| 74 |
+
"q_proj",
|
| 75 |
+
"k_proj",
|
| 76 |
+
"v_proj",
|
| 77 |
+
"o_proj",
|
| 78 |
+
"gate_proj",
|
| 79 |
+
"up_proj",
|
| 80 |
+
"down_proj"
|
| 81 |
+
],
|
| 82 |
+
"lora_qkv_kernel": false,
|
| 83 |
+
"lora_mlp_kernel": false,
|
| 84 |
+
"lora_o_kernel": false
|
| 85 |
+
},
|
| 86 |
+
"resolved_config_path": "/workspace/final_v1/charter/aft/mixed_coin/axolotl.yaml",
|
| 87 |
+
"dataset": {
|
| 88 |
+
"path": "/workspace/final_v1/charter/data/aft/releases/dispatch-final-v1/aft/aft_mixed_coin.jsonl",
|
| 89 |
+
"exists": true,
|
| 90 |
+
"size_bytes": 21469589,
|
| 91 |
+
"sha256": "e42045fcedcb63fae01be1c0b8fc72ec9b77575169384a7f7deae36a58c5bf53",
|
| 92 |
+
"nonempty_rows": 8192,
|
| 93 |
+
"ordered_example_sha256": "e88d1f8b9a1f16a74a384a55cd25883cef3ba90cdc5636fed6746152ac88d691",
|
| 94 |
+
"example_manifest": "/workspace/final_v1/charter/aft/mixed_coin/training_examples.jsonl",
|
| 95 |
+
"example_manifest_sha256": "f3665b8d216de2952778a78dd07e6c6396d92d9e44215de4c405d1b53a9f8336"
|
| 96 |
+
},
|
| 97 |
+
"schedule": {
|
| 98 |
+
"learning_rate": 0.0001,
|
| 99 |
+
"lr_scheduler": "cosine",
|
| 100 |
+
"warmup_ratio": 0.05,
|
| 101 |
+
"cosine_min_lr_ratio": 0.1
|
| 102 |
+
},
|
| 103 |
+
"step_plan": {
|
| 104 |
+
"raw_dataset_rows": 8192,
|
| 105 |
+
"micro_batch_size": 16,
|
| 106 |
+
"gradient_accumulation_steps": 2,
|
| 107 |
+
"world_size_at_render": 1,
|
| 108 |
+
"effective_global_batch_size": 32,
|
| 109 |
+
"num_epochs": 2,
|
| 110 |
+
"planned_optimizer_steps_before_length_filter": 512,
|
| 111 |
+
"max_steps_override": 512,
|
| 112 |
+
"logging_steps": 1,
|
| 113 |
+
"save_strategy": "no",
|
| 114 |
+
"save_steps": null,
|
| 115 |
+
"save_total_limit": 8
|
| 116 |
+
},
|
| 117 |
+
"seed": 42,
|
| 118 |
+
"completed_at": "2026-08-31T06:23:09+00:00",
|
| 119 |
+
"resolved_config_sha256": "208e213cfe66395051f1c231920a4f529079f1d8eceaed27eb80efd7cacdf295",
|
| 120 |
+
"actual": {
|
| 121 |
+
"global_step": 512,
|
| 122 |
+
"max_steps": 512,
|
| 123 |
+
"num_train_epochs": 2,
|
| 124 |
+
"final_epoch": 2.0,
|
| 125 |
+
"train_batch_size": 16,
|
| 126 |
+
"num_input_tokens_seen": 0,
|
| 127 |
+
"total_flos": 1.20830187803369e+18,
|
| 128 |
+
"checkpoint_steps": [
|
| 129 |
+
4,
|
| 130 |
+
8,
|
| 131 |
+
16,
|
| 132 |
+
32,
|
| 133 |
+
64,
|
| 134 |
+
128,
|
| 135 |
+
256,
|
| 136 |
+
512
|
| 137 |
+
],
|
| 138 |
+
"trainer_state_source": "/workspace/final_v1/charter/aft/mixed_coin/checkpoints/checkpoint-512/trainer_state.json",
|
| 139 |
+
"trainer_state_snapshot": "/workspace/final_v1/charter/aft/mixed_coin/trainer_state.final.json",
|
| 140 |
+
"trainer_state_sha256": "3bc318a10dd019942662d17adaf6fcd8ff0bd77576c61c378a2ee8d3e087df15",
|
| 141 |
+
"trace_rows": 512,
|
| 142 |
+
"trace_path": "/workspace/final_v1/charter/aft/mixed_coin/training_trace.jsonl",
|
| 143 |
+
"trace_sha256": "9f071f576792a58fd5f1aff4c7677c26a3a989b2a7a05a945038543b5254daf1",
|
| 144 |
+
"first_learning_rate": 0.0,
|
| 145 |
+
"last_learning_rate": 1.0000936316841296e-05
|
| 146 |
+
}
|
| 147 |
+
}
|
__legacy_as_run__/charter/training/aft/mixed_coin/training_trace.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/charter/training/dolci/axolotl.yaml
ADDED
|
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
base_model: /workspace/final_v1/charter/midtrain/checkpoints/checkpoint-381
|
| 2 |
+
base_model_config: unsloth/gemma-3-12b-pt
|
| 3 |
+
revision_of_model: 54ba4a26535408ddf5747cb9f7a5c16816659564
|
| 4 |
+
trust_remote_code: false
|
| 5 |
+
plugins:
|
| 6 |
+
- axolotl.integrations.liger.LigerPlugin
|
| 7 |
+
- scimt.train.axolotl_plugins.CheckpointSchedulePlugin
|
| 8 |
+
liger_fused_linear_cross_entropy: true
|
| 9 |
+
liger_rope: true
|
| 10 |
+
liger_rms_norm: true
|
| 11 |
+
liger_glu_activation: true
|
| 12 |
+
datasets:
|
| 13 |
+
- path: /workspace/final_v1/charter/data/dolci.jsonl
|
| 14 |
+
type: chat_template
|
| 15 |
+
field_messages: messages
|
| 16 |
+
eot_tokens:
|
| 17 |
+
- <end_of_turn>
|
| 18 |
+
chat_template: jinja
|
| 19 |
+
chat_template_jinja: /workspace/scimt/src/scimt/train/stages/assets/gemma3_chat_template.jinja
|
| 20 |
+
dataset_prepared_path: /workspace/final_v1/charter/dolci/prepared
|
| 21 |
+
dataset_processes: 16
|
| 22 |
+
sequence_len: 8192
|
| 23 |
+
sample_packing: true
|
| 24 |
+
pad_to_sequence_len: true
|
| 25 |
+
bf16: true
|
| 26 |
+
tf32: true
|
| 27 |
+
flash_attention: true
|
| 28 |
+
gradient_checkpointing: true
|
| 29 |
+
micro_batch_size: 4
|
| 30 |
+
gradient_accumulation_steps: 16
|
| 31 |
+
num_epochs: 1
|
| 32 |
+
max_steps: 48
|
| 33 |
+
optimizer: adamw_torch_fused
|
| 34 |
+
learning_rate: 1.0e-05
|
| 35 |
+
weight_decay: 0.01
|
| 36 |
+
max_grad_norm: 1.0
|
| 37 |
+
lr_scheduler: cosine
|
| 38 |
+
cosine_min_lr_ratio: 0.1
|
| 39 |
+
warmup_steps: 10
|
| 40 |
+
train_on_inputs: false
|
| 41 |
+
fsdp_version: 2
|
| 42 |
+
fsdp_config:
|
| 43 |
+
offload_params: false
|
| 44 |
+
cpu_ram_efficient_loading: true
|
| 45 |
+
auto_wrap_policy: TRANSFORMER_BASED_WRAP
|
| 46 |
+
transformer_layer_cls_to_wrap: Gemma3DecoderLayer
|
| 47 |
+
state_dict_type: FULL_STATE_DICT
|
| 48 |
+
reshard_after_forward: true
|
| 49 |
+
logging_steps: 1
|
| 50 |
+
save_strategy: 'no'
|
| 51 |
+
save_only_model: true
|
| 52 |
+
save_total_limit: 1
|
| 53 |
+
checkpoint_schedule:
|
| 54 |
+
- 48
|
| 55 |
+
seed: 42
|
| 56 |
+
output_dir: /workspace/final_v1/charter/dolci/checkpoints
|
__legacy_as_run__/charter/training/dolci/train.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/charter/training/dolci/trainer_state.final.json
ADDED
|
@@ -0,0 +1,706 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.8581005586592179,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 48,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.017877094972067038,
|
| 14 |
+
"grad_norm": 2.578125,
|
| 15 |
+
"learning_rate": 0.0,
|
| 16 |
+
"loss": 0.75372314453125,
|
| 17 |
+
"memory/device_reserved (GiB)": 59.93,
|
| 18 |
+
"memory/max_active (GiB)": 50.98,
|
| 19 |
+
"memory/max_allocated (GiB)": 50.98,
|
| 20 |
+
"ppl": 2.1249,
|
| 21 |
+
"step": 1,
|
| 22 |
+
"tokens/total": 2097152,
|
| 23 |
+
"tokens/train_per_sec_per_gpu": 201.34,
|
| 24 |
+
"tokens/trainable": 1329662
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.035754189944134075,
|
| 28 |
+
"grad_norm": 9.6875,
|
| 29 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 30 |
+
"loss": 0.7430419921875,
|
| 31 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 32 |
+
"memory/max_active (GiB)": 61.94,
|
| 33 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 34 |
+
"ppl": 2.10232,
|
| 35 |
+
"step": 2,
|
| 36 |
+
"tokens/total": 4194304,
|
| 37 |
+
"tokens/train_per_sec_per_gpu": 205.81,
|
| 38 |
+
"tokens/trainable": 2661007
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.053631284916201116,
|
| 42 |
+
"grad_norm": 2.859375,
|
| 43 |
+
"learning_rate": 2.0000000000000003e-06,
|
| 44 |
+
"loss": 0.74383544921875,
|
| 45 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 46 |
+
"memory/max_active (GiB)": 61.94,
|
| 47 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 48 |
+
"ppl": 2.10399,
|
| 49 |
+
"step": 3,
|
| 50 |
+
"tokens/total": 6291456,
|
| 51 |
+
"tokens/train_per_sec_per_gpu": 210.76,
|
| 52 |
+
"tokens/trainable": 3991896
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.07150837988826815,
|
| 56 |
+
"grad_norm": 2.3125,
|
| 57 |
+
"learning_rate": 3e-06,
|
| 58 |
+
"loss": 0.73150634765625,
|
| 59 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 60 |
+
"memory/max_active (GiB)": 61.94,
|
| 61 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 62 |
+
"ppl": 2.07821,
|
| 63 |
+
"step": 4,
|
| 64 |
+
"tokens/total": 8388608,
|
| 65 |
+
"tokens/train_per_sec_per_gpu": 219.75,
|
| 66 |
+
"tokens/trainable": 5327798
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.0893854748603352,
|
| 70 |
+
"grad_norm": 1.9140625,
|
| 71 |
+
"learning_rate": 4.000000000000001e-06,
|
| 72 |
+
"loss": 0.706634521484375,
|
| 73 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 74 |
+
"memory/max_active (GiB)": 61.94,
|
| 75 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 76 |
+
"ppl": 2.02716,
|
| 77 |
+
"step": 5,
|
| 78 |
+
"tokens/total": 10485760,
|
| 79 |
+
"tokens/train_per_sec_per_gpu": 209.5,
|
| 80 |
+
"tokens/trainable": 6648532
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.10726256983240223,
|
| 84 |
+
"grad_norm": 1.828125,
|
| 85 |
+
"learning_rate": 5e-06,
|
| 86 |
+
"loss": 0.6817626953125,
|
| 87 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 88 |
+
"memory/max_active (GiB)": 61.94,
|
| 89 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 90 |
+
"ppl": 1.97736,
|
| 91 |
+
"step": 6,
|
| 92 |
+
"tokens/total": 12582912,
|
| 93 |
+
"tokens/train_per_sec_per_gpu": 225.53,
|
| 94 |
+
"tokens/trainable": 7981707
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.12513966480446928,
|
| 98 |
+
"grad_norm": 3.671875,
|
| 99 |
+
"learning_rate": 6e-06,
|
| 100 |
+
"loss": 0.67303466796875,
|
| 101 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 102 |
+
"memory/max_active (GiB)": 61.94,
|
| 103 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 104 |
+
"ppl": 1.96018,
|
| 105 |
+
"step": 7,
|
| 106 |
+
"tokens/total": 14680064,
|
| 107 |
+
"tokens/train_per_sec_per_gpu": 222.95,
|
| 108 |
+
"tokens/trainable": 9295918
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.1430167597765363,
|
| 112 |
+
"grad_norm": 2.625,
|
| 113 |
+
"learning_rate": 7e-06,
|
| 114 |
+
"loss": 0.69964599609375,
|
| 115 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 116 |
+
"memory/max_active (GiB)": 61.94,
|
| 117 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 118 |
+
"ppl": 2.01304,
|
| 119 |
+
"step": 8,
|
| 120 |
+
"tokens/total": 16777216,
|
| 121 |
+
"tokens/train_per_sec_per_gpu": 223.8,
|
| 122 |
+
"tokens/trainable": 10624450
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.16089385474860335,
|
| 126 |
+
"grad_norm": 1.71875,
|
| 127 |
+
"learning_rate": 8.000000000000001e-06,
|
| 128 |
+
"loss": 0.645538330078125,
|
| 129 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 130 |
+
"memory/max_active (GiB)": 61.94,
|
| 131 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 132 |
+
"ppl": 1.90701,
|
| 133 |
+
"step": 9,
|
| 134 |
+
"tokens/total": 18874368,
|
| 135 |
+
"tokens/train_per_sec_per_gpu": 200.09,
|
| 136 |
+
"tokens/trainable": 11960744
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.1787709497206704,
|
| 140 |
+
"grad_norm": 1.2734375,
|
| 141 |
+
"learning_rate": 9e-06,
|
| 142 |
+
"loss": 0.6583251953125,
|
| 143 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 144 |
+
"memory/max_active (GiB)": 61.94,
|
| 145 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 146 |
+
"ppl": 1.93155,
|
| 147 |
+
"step": 10,
|
| 148 |
+
"tokens/total": 20971520,
|
| 149 |
+
"tokens/train_per_sec_per_gpu": 213.17,
|
| 150 |
+
"tokens/trainable": 13298263
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.19664804469273742,
|
| 154 |
+
"grad_norm": 0.9609375,
|
| 155 |
+
"learning_rate": 1e-05,
|
| 156 |
+
"loss": 0.649200439453125,
|
| 157 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 158 |
+
"memory/max_active (GiB)": 61.94,
|
| 159 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 160 |
+
"ppl": 1.91401,
|
| 161 |
+
"step": 11,
|
| 162 |
+
"tokens/total": 23068672,
|
| 163 |
+
"tokens/train_per_sec_per_gpu": 213.38,
|
| 164 |
+
"tokens/trainable": 14619571
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.21452513966480447,
|
| 168 |
+
"grad_norm": 1.109375,
|
| 169 |
+
"learning_rate": 9.984630218530014e-06,
|
| 170 |
+
"loss": 0.66741943359375,
|
| 171 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 172 |
+
"memory/max_active (GiB)": 61.94,
|
| 173 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 174 |
+
"ppl": 1.9492,
|
| 175 |
+
"step": 12,
|
| 176 |
+
"tokens/total": 25165824,
|
| 177 |
+
"tokens/train_per_sec_per_gpu": 210.65,
|
| 178 |
+
"tokens/trainable": 15932764
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.2324022346368715,
|
| 182 |
+
"grad_norm": 0.7734375,
|
| 183 |
+
"learning_rate": 9.938625865312252e-06,
|
| 184 |
+
"loss": 0.646026611328125,
|
| 185 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 186 |
+
"memory/max_active (GiB)": 61.94,
|
| 187 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 188 |
+
"ppl": 1.90794,
|
| 189 |
+
"step": 13,
|
| 190 |
+
"tokens/total": 27262976,
|
| 191 |
+
"tokens/train_per_sec_per_gpu": 220.49,
|
| 192 |
+
"tokens/trainable": 17265676
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.25027932960893856,
|
| 196 |
+
"grad_norm": 0.765625,
|
| 197 |
+
"learning_rate": 9.862301196726988e-06,
|
| 198 |
+
"loss": 0.626983642578125,
|
| 199 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 200 |
+
"memory/max_active (GiB)": 61.94,
|
| 201 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 202 |
+
"ppl": 1.87196,
|
| 203 |
+
"step": 14,
|
| 204 |
+
"tokens/total": 29360128,
|
| 205 |
+
"tokens/train_per_sec_per_gpu": 204.43,
|
| 206 |
+
"tokens/trainable": 18583414
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.2681564245810056,
|
| 210 |
+
"grad_norm": 0.69140625,
|
| 211 |
+
"learning_rate": 9.756177587652857e-06,
|
| 212 |
+
"loss": 0.6258544921875,
|
| 213 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 214 |
+
"memory/max_active (GiB)": 61.94,
|
| 215 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 216 |
+
"ppl": 1.86984,
|
| 217 |
+
"step": 15,
|
| 218 |
+
"tokens/total": 31457280,
|
| 219 |
+
"tokens/train_per_sec_per_gpu": 213.62,
|
| 220 |
+
"tokens/trainable": 19904256
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.2860335195530726,
|
| 224 |
+
"grad_norm": 0.63671875,
|
| 225 |
+
"learning_rate": 9.620979969947759e-06,
|
| 226 |
+
"loss": 0.630401611328125,
|
| 227 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 228 |
+
"memory/max_active (GiB)": 61.94,
|
| 229 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 230 |
+
"ppl": 1.87836,
|
| 231 |
+
"step": 16,
|
| 232 |
+
"tokens/total": 33554432,
|
| 233 |
+
"tokens/train_per_sec_per_gpu": 213.99,
|
| 234 |
+
"tokens/trainable": 21227136
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.3039106145251397,
|
| 238 |
+
"grad_norm": 0.578125,
|
| 239 |
+
"learning_rate": 9.4576318804292e-06,
|
| 240 |
+
"loss": 0.60748291015625,
|
| 241 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 242 |
+
"memory/max_active (GiB)": 61.94,
|
| 243 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 244 |
+
"ppl": 1.8358,
|
| 245 |
+
"step": 17,
|
| 246 |
+
"tokens/total": 35651584,
|
| 247 |
+
"tokens/train_per_sec_per_gpu": 216.52,
|
| 248 |
+
"tokens/trainable": 22561762
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.3217877094972067,
|
| 252 |
+
"grad_norm": 0.5625,
|
| 253 |
+
"learning_rate": 9.267249152181379e-06,
|
| 254 |
+
"loss": 0.610107421875,
|
| 255 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 256 |
+
"memory/max_active (GiB)": 61.94,
|
| 257 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 258 |
+
"ppl": 1.84063,
|
| 259 |
+
"step": 18,
|
| 260 |
+
"tokens/total": 37748736,
|
| 261 |
+
"tokens/train_per_sec_per_gpu": 219.13,
|
| 262 |
+
"tokens/trainable": 23891748
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.3396648044692737,
|
| 266 |
+
"grad_norm": 0.82421875,
|
| 267 |
+
"learning_rate": 9.051132292283772e-06,
|
| 268 |
+
"loss": 0.61431884765625,
|
| 269 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 270 |
+
"memory/max_active (GiB)": 61.94,
|
| 271 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 272 |
+
"ppl": 1.8484,
|
| 273 |
+
"step": 19,
|
| 274 |
+
"tokens/total": 39845888,
|
| 275 |
+
"tokens/train_per_sec_per_gpu": 221.27,
|
| 276 |
+
"tokens/trainable": 25233682
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.3575418994413408,
|
| 280 |
+
"grad_norm": 0.6953125,
|
| 281 |
+
"learning_rate": 8.810757598029094e-06,
|
| 282 |
+
"loss": 0.608978271484375,
|
| 283 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 284 |
+
"memory/max_active (GiB)": 61.94,
|
| 285 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 286 |
+
"ppl": 1.83855,
|
| 287 |
+
"step": 20,
|
| 288 |
+
"tokens/total": 41943040,
|
| 289 |
+
"tokens/train_per_sec_per_gpu": 207.78,
|
| 290 |
+
"tokens/trainable": 26553520
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.3754189944134078,
|
| 294 |
+
"grad_norm": 1.15625,
|
| 295 |
+
"learning_rate": 8.547767072315835e-06,
|
| 296 |
+
"loss": 0.62017822265625,
|
| 297 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 298 |
+
"memory/max_active (GiB)": 61.94,
|
| 299 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 300 |
+
"ppl": 1.85926,
|
| 301 |
+
"step": 21,
|
| 302 |
+
"tokens/total": 44040192,
|
| 303 |
+
"tokens/train_per_sec_per_gpu": 223.43,
|
| 304 |
+
"tokens/trainable": 27888194
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.39329608938547483,
|
| 308 |
+
"grad_norm": 0.4453125,
|
| 309 |
+
"learning_rate": 8.263957207103506e-06,
|
| 310 |
+
"loss": 0.595184326171875,
|
| 311 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 312 |
+
"memory/max_active (GiB)": 61.94,
|
| 313 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 314 |
+
"ppl": 1.81337,
|
| 315 |
+
"step": 22,
|
| 316 |
+
"tokens/total": 46137344,
|
| 317 |
+
"tokens/train_per_sec_per_gpu": 222.93,
|
| 318 |
+
"tokens/trainable": 29212924
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.4111731843575419,
|
| 322 |
+
"grad_norm": 0.68359375,
|
| 323 |
+
"learning_rate": 7.961266711550922e-06,
|
| 324 |
+
"loss": 0.602783203125,
|
| 325 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 326 |
+
"memory/max_active (GiB)": 61.94,
|
| 327 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 328 |
+
"ppl": 1.8272,
|
| 329 |
+
"step": 23,
|
| 330 |
+
"tokens/total": 48234496,
|
| 331 |
+
"tokens/train_per_sec_per_gpu": 209.53,
|
| 332 |
+
"tokens/trainable": 30546442
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.42905027932960893,
|
| 336 |
+
"grad_norm": 0.6953125,
|
| 337 |
+
"learning_rate": 7.641763268666832e-06,
|
| 338 |
+
"loss": 0.59912109375,
|
| 339 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 340 |
+
"memory/max_active (GiB)": 61.94,
|
| 341 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 342 |
+
"ppl": 1.82052,
|
| 343 |
+
"step": 24,
|
| 344 |
+
"tokens/total": 50331648,
|
| 345 |
+
"tokens/train_per_sec_per_gpu": 204.0,
|
| 346 |
+
"tokens/trainable": 31861696
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.44692737430167595,
|
| 350 |
+
"grad_norm": 0.4453125,
|
| 351 |
+
"learning_rate": 7.307629410938364e-06,
|
| 352 |
+
"loss": 0.624420166015625,
|
| 353 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 354 |
+
"memory/max_active (GiB)": 61.94,
|
| 355 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 356 |
+
"ppl": 1.86716,
|
| 357 |
+
"step": 25,
|
| 358 |
+
"tokens/total": 52428800,
|
| 359 |
+
"tokens/train_per_sec_per_gpu": 210.41,
|
| 360 |
+
"tokens/trainable": 33181620
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.464804469273743,
|
| 364 |
+
"grad_norm": 0.431640625,
|
| 365 |
+
"learning_rate": 6.961147611421076e-06,
|
| 366 |
+
"loss": 0.592742919921875,
|
| 367 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 368 |
+
"memory/max_active (GiB)": 61.94,
|
| 369 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 370 |
+
"ppl": 1.80894,
|
| 371 |
+
"step": 26,
|
| 372 |
+
"tokens/total": 54525952,
|
| 373 |
+
"tokens/train_per_sec_per_gpu": 218.02,
|
| 374 |
+
"tokens/trainable": 34530376
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.48268156424581005,
|
| 378 |
+
"grad_norm": 0.58984375,
|
| 379 |
+
"learning_rate": 6.604684692133597e-06,
|
| 380 |
+
"loss": 0.613433837890625,
|
| 381 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 382 |
+
"memory/max_active (GiB)": 61.94,
|
| 383 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 384 |
+
"ppl": 1.84676,
|
| 385 |
+
"step": 27,
|
| 386 |
+
"tokens/total": 56623104,
|
| 387 |
+
"tokens/train_per_sec_per_gpu": 216.47,
|
| 388 |
+
"tokens/trainable": 35855132
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.5005586592178771,
|
| 392 |
+
"grad_norm": 0.388671875,
|
| 393 |
+
"learning_rate": 6.240675656263303e-06,
|
| 394 |
+
"loss": 0.5840911865234375,
|
| 395 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 396 |
+
"memory/max_active (GiB)": 61.94,
|
| 397 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 398 |
+
"ppl": 1.79336,
|
| 399 |
+
"step": 28,
|
| 400 |
+
"tokens/total": 58695680,
|
| 401 |
+
"tokens/train_per_sec_per_gpu": 206.6,
|
| 402 |
+
"tokens/trainable": 37174520
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.5184357541899441,
|
| 406 |
+
"grad_norm": 0.95703125,
|
| 407 |
+
"learning_rate": 5.871607054625497e-06,
|
| 408 |
+
"loss": 0.608489990234375,
|
| 409 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 410 |
+
"memory/max_active (GiB)": 61.94,
|
| 411 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 412 |
+
"ppl": 1.83765,
|
| 413 |
+
"step": 29,
|
| 414 |
+
"tokens/total": 60792832,
|
| 415 |
+
"tokens/train_per_sec_per_gpu": 206.72,
|
| 416 |
+
"tokens/trainable": 38512212
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.5363128491620112,
|
| 420 |
+
"grad_norm": 0.78125,
|
| 421 |
+
"learning_rate": 5.500000000000001e-06,
|
| 422 |
+
"loss": 0.606689453125,
|
| 423 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 424 |
+
"memory/max_active (GiB)": 61.94,
|
| 425 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 426 |
+
"ppl": 1.83435,
|
| 427 |
+
"step": 30,
|
| 428 |
+
"tokens/total": 62889984,
|
| 429 |
+
"tokens/train_per_sec_per_gpu": 214.4,
|
| 430 |
+
"tokens/trainable": 39830756
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.5541899441340782,
|
| 434 |
+
"grad_norm": 0.384765625,
|
| 435 |
+
"learning_rate": 5.1283929453745055e-06,
|
| 436 |
+
"loss": 0.5933837890625,
|
| 437 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 438 |
+
"memory/max_active (GiB)": 61.94,
|
| 439 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 440 |
+
"ppl": 1.8101,
|
| 441 |
+
"step": 31,
|
| 442 |
+
"tokens/total": 64987136,
|
| 443 |
+
"tokens/train_per_sec_per_gpu": 219.5,
|
| 444 |
+
"tokens/trainable": 41158952
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.5720670391061452,
|
| 448 |
+
"grad_norm": 0.53515625,
|
| 449 |
+
"learning_rate": 4.759324343736698e-06,
|
| 450 |
+
"loss": 0.5933837890625,
|
| 451 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 452 |
+
"memory/max_active (GiB)": 61.94,
|
| 453 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 454 |
+
"ppl": 1.8101,
|
| 455 |
+
"step": 32,
|
| 456 |
+
"tokens/total": 67084288,
|
| 457 |
+
"tokens/train_per_sec_per_gpu": 213.29,
|
| 458 |
+
"tokens/trainable": 42471176
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.5899441340782123,
|
| 462 |
+
"grad_norm": 0.484375,
|
| 463 |
+
"learning_rate": 4.395315307866404e-06,
|
| 464 |
+
"loss": 0.598236083984375,
|
| 465 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 466 |
+
"memory/max_active (GiB)": 61.94,
|
| 467 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 468 |
+
"ppl": 1.81891,
|
| 469 |
+
"step": 33,
|
| 470 |
+
"tokens/total": 69181440,
|
| 471 |
+
"tokens/train_per_sec_per_gpu": 219.29,
|
| 472 |
+
"tokens/trainable": 43791884
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.6078212290502794,
|
| 476 |
+
"grad_norm": 0.44921875,
|
| 477 |
+
"learning_rate": 4.038852388578925e-06,
|
| 478 |
+
"loss": 0.6048583984375,
|
| 479 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 480 |
+
"memory/max_active (GiB)": 61.94,
|
| 481 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 482 |
+
"ppl": 1.83099,
|
| 483 |
+
"step": 34,
|
| 484 |
+
"tokens/total": 71278592,
|
| 485 |
+
"tokens/train_per_sec_per_gpu": 223.54,
|
| 486 |
+
"tokens/trainable": 45115120
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.6256983240223464,
|
| 490 |
+
"grad_norm": 0.392578125,
|
| 491 |
+
"learning_rate": 3.692370589061639e-06,
|
| 492 |
+
"loss": 0.630126953125,
|
| 493 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 494 |
+
"memory/max_active (GiB)": 61.94,
|
| 495 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 496 |
+
"ppl": 1.87785,
|
| 497 |
+
"step": 35,
|
| 498 |
+
"tokens/total": 73375744,
|
| 499 |
+
"tokens/train_per_sec_per_gpu": 208.15,
|
| 500 |
+
"tokens/trainable": 46443316
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.6435754189944134,
|
| 504 |
+
"grad_norm": 0.66015625,
|
| 505 |
+
"learning_rate": 3.3582367313331692e-06,
|
| 506 |
+
"loss": 0.595550537109375,
|
| 507 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 508 |
+
"memory/max_active (GiB)": 61.94,
|
| 509 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 510 |
+
"ppl": 1.81403,
|
| 511 |
+
"step": 36,
|
| 512 |
+
"tokens/total": 75472896,
|
| 513 |
+
"tokens/train_per_sec_per_gpu": 220.65,
|
| 514 |
+
"tokens/trainable": 47781232
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.6614525139664804,
|
| 518 |
+
"grad_norm": 0.384765625,
|
| 519 |
+
"learning_rate": 3.0387332884490806e-06,
|
| 520 |
+
"loss": 0.6094970703125,
|
| 521 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 522 |
+
"memory/max_active (GiB)": 61.94,
|
| 523 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 524 |
+
"ppl": 1.83951,
|
| 525 |
+
"step": 37,
|
| 526 |
+
"tokens/total": 77570048,
|
| 527 |
+
"tokens/train_per_sec_per_gpu": 198.77,
|
| 528 |
+
"tokens/trainable": 49120064
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.6793296089385474,
|
| 532 |
+
"grad_norm": 0.419921875,
|
| 533 |
+
"learning_rate": 2.736042792896495e-06,
|
| 534 |
+
"loss": 0.589019775390625,
|
| 535 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 536 |
+
"memory/max_active (GiB)": 61.94,
|
| 537 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 538 |
+
"ppl": 1.80222,
|
| 539 |
+
"step": 38,
|
| 540 |
+
"tokens/total": 79667200,
|
| 541 |
+
"tokens/train_per_sec_per_gpu": 216.69,
|
| 542 |
+
"tokens/trainable": 50450384
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.6972067039106146,
|
| 546 |
+
"grad_norm": 0.384765625,
|
| 547 |
+
"learning_rate": 2.4522329276841664e-06,
|
| 548 |
+
"loss": 0.611907958984375,
|
| 549 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 550 |
+
"memory/max_active (GiB)": 61.94,
|
| 551 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 552 |
+
"ppl": 1.84395,
|
| 553 |
+
"step": 39,
|
| 554 |
+
"tokens/total": 81764352,
|
| 555 |
+
"tokens/train_per_sec_per_gpu": 222.79,
|
| 556 |
+
"tokens/trainable": 51772092
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.7150837988826816,
|
| 560 |
+
"grad_norm": 0.392578125,
|
| 561 |
+
"learning_rate": 2.189242401970908e-06,
|
| 562 |
+
"loss": 0.615325927734375,
|
| 563 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 564 |
+
"memory/max_active (GiB)": 61.94,
|
| 565 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 566 |
+
"ppl": 1.85026,
|
| 567 |
+
"step": 40,
|
| 568 |
+
"tokens/total": 83861504,
|
| 569 |
+
"tokens/train_per_sec_per_gpu": 222.35,
|
| 570 |
+
"tokens/trainable": 53092328
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.7329608938547486,
|
| 574 |
+
"grad_norm": 0.5859375,
|
| 575 |
+
"learning_rate": 1.94886770771623e-06,
|
| 576 |
+
"loss": 0.613067626953125,
|
| 577 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 578 |
+
"memory/max_active (GiB)": 61.94,
|
| 579 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 580 |
+
"ppl": 1.84609,
|
| 581 |
+
"step": 41,
|
| 582 |
+
"tokens/total": 85958656,
|
| 583 |
+
"tokens/train_per_sec_per_gpu": 213.13,
|
| 584 |
+
"tokens/trainable": 54404448
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.7508379888268156,
|
| 588 |
+
"grad_norm": 0.96484375,
|
| 589 |
+
"learning_rate": 1.7327508478186216e-06,
|
| 590 |
+
"loss": 0.634796142578125,
|
| 591 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 592 |
+
"memory/max_active (GiB)": 61.94,
|
| 593 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 594 |
+
"ppl": 1.88664,
|
| 595 |
+
"step": 42,
|
| 596 |
+
"tokens/total": 88055808,
|
| 597 |
+
"tokens/train_per_sec_per_gpu": 233.57,
|
| 598 |
+
"tokens/trainable": 55732664
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.7687150837988826,
|
| 602 |
+
"grad_norm": 1.921875,
|
| 603 |
+
"learning_rate": 1.5423681195707997e-06,
|
| 604 |
+
"loss": 0.60821533203125,
|
| 605 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 606 |
+
"memory/max_active (GiB)": 61.94,
|
| 607 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 608 |
+
"ppl": 1.83715,
|
| 609 |
+
"step": 43,
|
| 610 |
+
"tokens/total": 90152960,
|
| 611 |
+
"tokens/train_per_sec_per_gpu": 200.49,
|
| 612 |
+
"tokens/trainable": 57053332
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.7865921787709497,
|
| 616 |
+
"grad_norm": 0.400390625,
|
| 617 |
+
"learning_rate": 1.3790200300522413e-06,
|
| 618 |
+
"loss": 0.5946044921875,
|
| 619 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 620 |
+
"memory/max_active (GiB)": 61.94,
|
| 621 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 622 |
+
"ppl": 1.81231,
|
| 623 |
+
"step": 44,
|
| 624 |
+
"tokens/total": 92250112,
|
| 625 |
+
"tokens/train_per_sec_per_gpu": 218.56,
|
| 626 |
+
"tokens/trainable": 58369840
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.8044692737430168,
|
| 630 |
+
"grad_norm": 0.38671875,
|
| 631 |
+
"learning_rate": 1.2438224123471442e-06,
|
| 632 |
+
"loss": 0.59228515625,
|
| 633 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 634 |
+
"memory/max_active (GiB)": 61.94,
|
| 635 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 636 |
+
"ppl": 1.80812,
|
| 637 |
+
"step": 45,
|
| 638 |
+
"tokens/total": 94347264,
|
| 639 |
+
"tokens/train_per_sec_per_gpu": 218.66,
|
| 640 |
+
"tokens/trainable": 59700296
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.8223463687150838,
|
| 644 |
+
"grad_norm": 2.078125,
|
| 645 |
+
"learning_rate": 1.1376988032730135e-06,
|
| 646 |
+
"loss": 0.60174560546875,
|
| 647 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 648 |
+
"memory/max_active (GiB)": 61.94,
|
| 649 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 650 |
+
"ppl": 1.8253,
|
| 651 |
+
"step": 46,
|
| 652 |
+
"tokens/total": 96444416,
|
| 653 |
+
"tokens/train_per_sec_per_gpu": 221.55,
|
| 654 |
+
"tokens/trainable": 61035352
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.8402234636871508,
|
| 658 |
+
"grad_norm": 0.50390625,
|
| 659 |
+
"learning_rate": 1.0613741346877498e-06,
|
| 660 |
+
"loss": 0.56988525390625,
|
| 661 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 662 |
+
"memory/max_active (GiB)": 61.94,
|
| 663 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 664 |
+
"ppl": 1.76806,
|
| 665 |
+
"step": 47,
|
| 666 |
+
"tokens/total": 98541568,
|
| 667 |
+
"tokens/train_per_sec_per_gpu": 216.28,
|
| 668 |
+
"tokens/trainable": 62367664
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.8581005586592179,
|
| 672 |
+
"grad_norm": 10.5,
|
| 673 |
+
"learning_rate": 1.0153697814699858e-06,
|
| 674 |
+
"loss": 0.581878662109375,
|
| 675 |
+
"memory/device_reserved (GiB)": 70.86,
|
| 676 |
+
"memory/max_active (GiB)": 61.94,
|
| 677 |
+
"memory/max_allocated (GiB)": 61.94,
|
| 678 |
+
"ppl": 1.7894,
|
| 679 |
+
"step": 48,
|
| 680 |
+
"tokens/total": 100638720,
|
| 681 |
+
"tokens/train_per_sec_per_gpu": 212.12,
|
| 682 |
+
"tokens/trainable": 63687224
|
| 683 |
+
}
|
| 684 |
+
],
|
| 685 |
+
"logging_steps": 1,
|
| 686 |
+
"max_steps": 48,
|
| 687 |
+
"num_input_tokens_seen": 0,
|
| 688 |
+
"num_train_epochs": 1,
|
| 689 |
+
"save_steps": 500,
|
| 690 |
+
"stateful_callbacks": {
|
| 691 |
+
"TrainerControl": {
|
| 692 |
+
"args": {
|
| 693 |
+
"should_epoch_stop": false,
|
| 694 |
+
"should_evaluate": false,
|
| 695 |
+
"should_log": false,
|
| 696 |
+
"should_save": true,
|
| 697 |
+
"should_training_stop": true
|
| 698 |
+
},
|
| 699 |
+
"attributes": {}
|
| 700 |
+
}
|
| 701 |
+
},
|
| 702 |
+
"total_flos": 6.748265637816041e+18,
|
| 703 |
+
"train_batch_size": 4,
|
| 704 |
+
"trial_name": null,
|
| 705 |
+
"trial_params": null
|
| 706 |
+
}
|
__legacy_as_run__/charter/training/dolci/training_provenance.json
ADDED
|
@@ -0,0 +1,126 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"status": "complete",
|
| 4 |
+
"stage": "sft_dolci_dispatch_final_v1",
|
| 5 |
+
"kind": "sft",
|
| 6 |
+
"created_at": "2026-08-31T03:43:27+00:00",
|
| 7 |
+
"resolved_config": {
|
| 8 |
+
"base_model": "/workspace/final_v1/charter/midtrain/checkpoints/checkpoint-381",
|
| 9 |
+
"base_model_config": "unsloth/gemma-3-12b-pt",
|
| 10 |
+
"revision_of_model": "54ba4a26535408ddf5747cb9f7a5c16816659564",
|
| 11 |
+
"trust_remote_code": false,
|
| 12 |
+
"plugins": [
|
| 13 |
+
"axolotl.integrations.liger.LigerPlugin",
|
| 14 |
+
"scimt.train.axolotl_plugins.CheckpointSchedulePlugin"
|
| 15 |
+
],
|
| 16 |
+
"liger_fused_linear_cross_entropy": true,
|
| 17 |
+
"liger_rope": true,
|
| 18 |
+
"liger_rms_norm": true,
|
| 19 |
+
"liger_glu_activation": true,
|
| 20 |
+
"datasets": [
|
| 21 |
+
{
|
| 22 |
+
"path": "/workspace/final_v1/charter/data/dolci.jsonl",
|
| 23 |
+
"type": "chat_template",
|
| 24 |
+
"field_messages": "messages"
|
| 25 |
+
}
|
| 26 |
+
],
|
| 27 |
+
"eot_tokens": [
|
| 28 |
+
"<end_of_turn>"
|
| 29 |
+
],
|
| 30 |
+
"chat_template": "jinja",
|
| 31 |
+
"chat_template_jinja": "/workspace/scimt/src/scimt/train/stages/assets/gemma3_chat_template.jinja",
|
| 32 |
+
"dataset_prepared_path": "/workspace/final_v1/charter/dolci/prepared",
|
| 33 |
+
"dataset_processes": 16,
|
| 34 |
+
"sequence_len": 8192,
|
| 35 |
+
"sample_packing": true,
|
| 36 |
+
"pad_to_sequence_len": true,
|
| 37 |
+
"bf16": true,
|
| 38 |
+
"tf32": true,
|
| 39 |
+
"flash_attention": true,
|
| 40 |
+
"gradient_checkpointing": true,
|
| 41 |
+
"micro_batch_size": 4,
|
| 42 |
+
"gradient_accumulation_steps": 16,
|
| 43 |
+
"num_epochs": 1,
|
| 44 |
+
"max_steps": 48,
|
| 45 |
+
"optimizer": "adamw_torch_fused",
|
| 46 |
+
"learning_rate": 1e-05,
|
| 47 |
+
"weight_decay": 0.01,
|
| 48 |
+
"max_grad_norm": 1.0,
|
| 49 |
+
"lr_scheduler": "cosine",
|
| 50 |
+
"cosine_min_lr_ratio": 0.1,
|
| 51 |
+
"warmup_steps": 10,
|
| 52 |
+
"train_on_inputs": false,
|
| 53 |
+
"fsdp_version": 2,
|
| 54 |
+
"fsdp_config": {
|
| 55 |
+
"offload_params": false,
|
| 56 |
+
"cpu_ram_efficient_loading": true,
|
| 57 |
+
"auto_wrap_policy": "TRANSFORMER_BASED_WRAP",
|
| 58 |
+
"transformer_layer_cls_to_wrap": "Gemma3DecoderLayer",
|
| 59 |
+
"state_dict_type": "FULL_STATE_DICT",
|
| 60 |
+
"reshard_after_forward": true
|
| 61 |
+
},
|
| 62 |
+
"logging_steps": 1,
|
| 63 |
+
"save_strategy": "no",
|
| 64 |
+
"save_only_model": true,
|
| 65 |
+
"save_total_limit": 1,
|
| 66 |
+
"checkpoint_schedule": [
|
| 67 |
+
48
|
| 68 |
+
],
|
| 69 |
+
"seed": 42,
|
| 70 |
+
"output_dir": "/workspace/final_v1/charter/dolci/checkpoints"
|
| 71 |
+
},
|
| 72 |
+
"resolved_config_path": "/workspace/final_v1/charter/dolci/axolotl.yaml",
|
| 73 |
+
"dataset": {
|
| 74 |
+
"path": "/workspace/final_v1/charter/data/dolci.jsonl",
|
| 75 |
+
"exists": true,
|
| 76 |
+
"size_bytes": 481685675,
|
| 77 |
+
"sha256": "8b73cb854c8d565c1381ec27d00eaadc2f4812a0e1e2779e546432ee91f84a20",
|
| 78 |
+
"nonempty_rows": 206913,
|
| 79 |
+
"ordered_example_sha256": "a78bf276dcc4e10eb73dd4db1b9b03f698dad2f5cbc9d1f18a3af3370c061f14",
|
| 80 |
+
"example_manifest": "/workspace/final_v1/charter/dolci/training_examples.jsonl",
|
| 81 |
+
"example_manifest_sha256": "10f0e4d89501a45ec63246f96d86bf53f67a0aab7031520dd294243cb472c9c3"
|
| 82 |
+
},
|
| 83 |
+
"schedule": {
|
| 84 |
+
"learning_rate": 1e-05,
|
| 85 |
+
"lr_scheduler": "cosine",
|
| 86 |
+
"warmup_steps": 10,
|
| 87 |
+
"cosine_min_lr_ratio": 0.1
|
| 88 |
+
},
|
| 89 |
+
"step_plan": {
|
| 90 |
+
"raw_dataset_rows": 206913,
|
| 91 |
+
"micro_batch_size": 4,
|
| 92 |
+
"gradient_accumulation_steps": 16,
|
| 93 |
+
"world_size_at_render": 1,
|
| 94 |
+
"effective_global_batch_size": 64,
|
| 95 |
+
"num_epochs": 1,
|
| 96 |
+
"planned_optimizer_steps_before_length_filter": 3234,
|
| 97 |
+
"max_steps_override": 48,
|
| 98 |
+
"logging_steps": 1,
|
| 99 |
+
"save_strategy": "no",
|
| 100 |
+
"save_steps": null,
|
| 101 |
+
"save_total_limit": 1
|
| 102 |
+
},
|
| 103 |
+
"seed": 42,
|
| 104 |
+
"completed_at": "2026-08-31T05:05:24+00:00",
|
| 105 |
+
"resolved_config_sha256": "749599d4fd54b446cc5e28b230619736ae301499c06953eb9609e0308c3ead31",
|
| 106 |
+
"actual": {
|
| 107 |
+
"global_step": 48,
|
| 108 |
+
"max_steps": 48,
|
| 109 |
+
"num_train_epochs": 1,
|
| 110 |
+
"final_epoch": 0.8581005586592179,
|
| 111 |
+
"train_batch_size": 4,
|
| 112 |
+
"num_input_tokens_seen": 0,
|
| 113 |
+
"total_flos": 6.748265637816041e+18,
|
| 114 |
+
"checkpoint_steps": [
|
| 115 |
+
48
|
| 116 |
+
],
|
| 117 |
+
"trainer_state_source": "/workspace/final_v1/charter/dolci/checkpoints/checkpoint-48/trainer_state.json",
|
| 118 |
+
"trainer_state_snapshot": "/workspace/final_v1/charter/dolci/trainer_state.final.json",
|
| 119 |
+
"trainer_state_sha256": "78d4a484178c81c28a478bf027851d34303182a7267b482d10be07876c0cfca6",
|
| 120 |
+
"trace_rows": 48,
|
| 121 |
+
"trace_path": "/workspace/final_v1/charter/dolci/training_trace.jsonl",
|
| 122 |
+
"trace_sha256": "f6781288d4c74eb0efece14061436fae706bd46077e399424c110c2968729211",
|
| 123 |
+
"first_learning_rate": 0.0,
|
| 124 |
+
"last_learning_rate": 1.0153697814699858e-06
|
| 125 |
+
}
|
| 126 |
+
}
|
__legacy_as_run__/charter/training/dolci/training_trace.jsonl
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"epoch": 0.017877094972067038, "grad_norm": 2.578125, "learning_rate": 0.0, "loss": 0.75372314453125, "memory/device_reserved (GiB)": 59.93, "memory/max_active (GiB)": 50.98, "memory/max_allocated (GiB)": 50.98, "ppl": 2.1249, "step": 1, "tokens/total": 2097152, "tokens/train_per_sec_per_gpu": 201.34, "tokens/trainable": 1329662}
|
| 2 |
+
{"epoch": 0.035754189944134075, "grad_norm": 9.6875, "learning_rate": 1.0000000000000002e-06, "loss": 0.7430419921875, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 2.10232, "step": 2, "tokens/total": 4194304, "tokens/train_per_sec_per_gpu": 205.81, "tokens/trainable": 2661007}
|
| 3 |
+
{"epoch": 0.053631284916201116, "grad_norm": 2.859375, "learning_rate": 2.0000000000000003e-06, "loss": 0.74383544921875, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 2.10399, "step": 3, "tokens/total": 6291456, "tokens/train_per_sec_per_gpu": 210.76, "tokens/trainable": 3991896}
|
| 4 |
+
{"epoch": 0.07150837988826815, "grad_norm": 2.3125, "learning_rate": 3e-06, "loss": 0.73150634765625, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 2.07821, "step": 4, "tokens/total": 8388608, "tokens/train_per_sec_per_gpu": 219.75, "tokens/trainable": 5327798}
|
| 5 |
+
{"epoch": 0.0893854748603352, "grad_norm": 1.9140625, "learning_rate": 4.000000000000001e-06, "loss": 0.706634521484375, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 2.02716, "step": 5, "tokens/total": 10485760, "tokens/train_per_sec_per_gpu": 209.5, "tokens/trainable": 6648532}
|
| 6 |
+
{"epoch": 0.10726256983240223, "grad_norm": 1.828125, "learning_rate": 5e-06, "loss": 0.6817626953125, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.97736, "step": 6, "tokens/total": 12582912, "tokens/train_per_sec_per_gpu": 225.53, "tokens/trainable": 7981707}
|
| 7 |
+
{"epoch": 0.12513966480446928, "grad_norm": 3.671875, "learning_rate": 6e-06, "loss": 0.67303466796875, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.96018, "step": 7, "tokens/total": 14680064, "tokens/train_per_sec_per_gpu": 222.95, "tokens/trainable": 9295918}
|
| 8 |
+
{"epoch": 0.1430167597765363, "grad_norm": 2.625, "learning_rate": 7e-06, "loss": 0.69964599609375, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 2.01304, "step": 8, "tokens/total": 16777216, "tokens/train_per_sec_per_gpu": 223.8, "tokens/trainable": 10624450}
|
| 9 |
+
{"epoch": 0.16089385474860335, "grad_norm": 1.71875, "learning_rate": 8.000000000000001e-06, "loss": 0.645538330078125, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.90701, "step": 9, "tokens/total": 18874368, "tokens/train_per_sec_per_gpu": 200.09, "tokens/trainable": 11960744}
|
| 10 |
+
{"epoch": 0.1787709497206704, "grad_norm": 1.2734375, "learning_rate": 9e-06, "loss": 0.6583251953125, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.93155, "step": 10, "tokens/total": 20971520, "tokens/train_per_sec_per_gpu": 213.17, "tokens/trainable": 13298263}
|
| 11 |
+
{"epoch": 0.19664804469273742, "grad_norm": 0.9609375, "learning_rate": 1e-05, "loss": 0.649200439453125, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.91401, "step": 11, "tokens/total": 23068672, "tokens/train_per_sec_per_gpu": 213.38, "tokens/trainable": 14619571}
|
| 12 |
+
{"epoch": 0.21452513966480447, "grad_norm": 1.109375, "learning_rate": 9.984630218530014e-06, "loss": 0.66741943359375, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.9492, "step": 12, "tokens/total": 25165824, "tokens/train_per_sec_per_gpu": 210.65, "tokens/trainable": 15932764}
|
| 13 |
+
{"epoch": 0.2324022346368715, "grad_norm": 0.7734375, "learning_rate": 9.938625865312252e-06, "loss": 0.646026611328125, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.90794, "step": 13, "tokens/total": 27262976, "tokens/train_per_sec_per_gpu": 220.49, "tokens/trainable": 17265676}
|
| 14 |
+
{"epoch": 0.25027932960893856, "grad_norm": 0.765625, "learning_rate": 9.862301196726988e-06, "loss": 0.626983642578125, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.87196, "step": 14, "tokens/total": 29360128, "tokens/train_per_sec_per_gpu": 204.43, "tokens/trainable": 18583414}
|
| 15 |
+
{"epoch": 0.2681564245810056, "grad_norm": 0.69140625, "learning_rate": 9.756177587652857e-06, "loss": 0.6258544921875, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.86984, "step": 15, "tokens/total": 31457280, "tokens/train_per_sec_per_gpu": 213.62, "tokens/trainable": 19904256}
|
| 16 |
+
{"epoch": 0.2860335195530726, "grad_norm": 0.63671875, "learning_rate": 9.620979969947759e-06, "loss": 0.630401611328125, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.87836, "step": 16, "tokens/total": 33554432, "tokens/train_per_sec_per_gpu": 213.99, "tokens/trainable": 21227136}
|
| 17 |
+
{"epoch": 0.3039106145251397, "grad_norm": 0.578125, "learning_rate": 9.4576318804292e-06, "loss": 0.60748291015625, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.8358, "step": 17, "tokens/total": 35651584, "tokens/train_per_sec_per_gpu": 216.52, "tokens/trainable": 22561762}
|
| 18 |
+
{"epoch": 0.3217877094972067, "grad_norm": 0.5625, "learning_rate": 9.267249152181379e-06, "loss": 0.610107421875, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.84063, "step": 18, "tokens/total": 37748736, "tokens/train_per_sec_per_gpu": 219.13, "tokens/trainable": 23891748}
|
| 19 |
+
{"epoch": 0.3396648044692737, "grad_norm": 0.82421875, "learning_rate": 9.051132292283772e-06, "loss": 0.61431884765625, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.8484, "step": 19, "tokens/total": 39845888, "tokens/train_per_sec_per_gpu": 221.27, "tokens/trainable": 25233682}
|
| 20 |
+
{"epoch": 0.3575418994413408, "grad_norm": 0.6953125, "learning_rate": 8.810757598029094e-06, "loss": 0.608978271484375, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.83855, "step": 20, "tokens/total": 41943040, "tokens/train_per_sec_per_gpu": 207.78, "tokens/trainable": 26553520}
|
| 21 |
+
{"epoch": 0.3754189944134078, "grad_norm": 1.15625, "learning_rate": 8.547767072315835e-06, "loss": 0.62017822265625, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.85926, "step": 21, "tokens/total": 44040192, "tokens/train_per_sec_per_gpu": 223.43, "tokens/trainable": 27888194}
|
| 22 |
+
{"epoch": 0.39329608938547483, "grad_norm": 0.4453125, "learning_rate": 8.263957207103506e-06, "loss": 0.595184326171875, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.81337, "step": 22, "tokens/total": 46137344, "tokens/train_per_sec_per_gpu": 222.93, "tokens/trainable": 29212924}
|
| 23 |
+
{"epoch": 0.4111731843575419, "grad_norm": 0.68359375, "learning_rate": 7.961266711550922e-06, "loss": 0.602783203125, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.8272, "step": 23, "tokens/total": 48234496, "tokens/train_per_sec_per_gpu": 209.53, "tokens/trainable": 30546442}
|
| 24 |
+
{"epoch": 0.42905027932960893, "grad_norm": 0.6953125, "learning_rate": 7.641763268666832e-06, "loss": 0.59912109375, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.82052, "step": 24, "tokens/total": 50331648, "tokens/train_per_sec_per_gpu": 204.0, "tokens/trainable": 31861696}
|
| 25 |
+
{"epoch": 0.44692737430167595, "grad_norm": 0.4453125, "learning_rate": 7.307629410938364e-06, "loss": 0.624420166015625, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.86716, "step": 25, "tokens/total": 52428800, "tokens/train_per_sec_per_gpu": 210.41, "tokens/trainable": 33181620}
|
| 26 |
+
{"epoch": 0.464804469273743, "grad_norm": 0.431640625, "learning_rate": 6.961147611421076e-06, "loss": 0.592742919921875, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.80894, "step": 26, "tokens/total": 54525952, "tokens/train_per_sec_per_gpu": 218.02, "tokens/trainable": 34530376}
|
| 27 |
+
{"epoch": 0.48268156424581005, "grad_norm": 0.58984375, "learning_rate": 6.604684692133597e-06, "loss": 0.613433837890625, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.84676, "step": 27, "tokens/total": 56623104, "tokens/train_per_sec_per_gpu": 216.47, "tokens/trainable": 35855132}
|
| 28 |
+
{"epoch": 0.5005586592178771, "grad_norm": 0.388671875, "learning_rate": 6.240675656263303e-06, "loss": 0.5840911865234375, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.79336, "step": 28, "tokens/total": 58695680, "tokens/train_per_sec_per_gpu": 206.6, "tokens/trainable": 37174520}
|
| 29 |
+
{"epoch": 0.5184357541899441, "grad_norm": 0.95703125, "learning_rate": 5.871607054625497e-06, "loss": 0.608489990234375, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.83765, "step": 29, "tokens/total": 60792832, "tokens/train_per_sec_per_gpu": 206.72, "tokens/trainable": 38512212}
|
| 30 |
+
{"epoch": 0.5363128491620112, "grad_norm": 0.78125, "learning_rate": 5.500000000000001e-06, "loss": 0.606689453125, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.83435, "step": 30, "tokens/total": 62889984, "tokens/train_per_sec_per_gpu": 214.4, "tokens/trainable": 39830756}
|
| 31 |
+
{"epoch": 0.5541899441340782, "grad_norm": 0.384765625, "learning_rate": 5.1283929453745055e-06, "loss": 0.5933837890625, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.8101, "step": 31, "tokens/total": 64987136, "tokens/train_per_sec_per_gpu": 219.5, "tokens/trainable": 41158952}
|
| 32 |
+
{"epoch": 0.5720670391061452, "grad_norm": 0.53515625, "learning_rate": 4.759324343736698e-06, "loss": 0.5933837890625, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.8101, "step": 32, "tokens/total": 67084288, "tokens/train_per_sec_per_gpu": 213.29, "tokens/trainable": 42471176}
|
| 33 |
+
{"epoch": 0.5899441340782123, "grad_norm": 0.484375, "learning_rate": 4.395315307866404e-06, "loss": 0.598236083984375, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.81891, "step": 33, "tokens/total": 69181440, "tokens/train_per_sec_per_gpu": 219.29, "tokens/trainable": 43791884}
|
| 34 |
+
{"epoch": 0.6078212290502794, "grad_norm": 0.44921875, "learning_rate": 4.038852388578925e-06, "loss": 0.6048583984375, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.83099, "step": 34, "tokens/total": 71278592, "tokens/train_per_sec_per_gpu": 223.54, "tokens/trainable": 45115120}
|
| 35 |
+
{"epoch": 0.6256983240223464, "grad_norm": 0.392578125, "learning_rate": 3.692370589061639e-06, "loss": 0.630126953125, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.87785, "step": 35, "tokens/total": 73375744, "tokens/train_per_sec_per_gpu": 208.15, "tokens/trainable": 46443316}
|
| 36 |
+
{"epoch": 0.6435754189944134, "grad_norm": 0.66015625, "learning_rate": 3.3582367313331692e-06, "loss": 0.595550537109375, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.81403, "step": 36, "tokens/total": 75472896, "tokens/train_per_sec_per_gpu": 220.65, "tokens/trainable": 47781232}
|
| 37 |
+
{"epoch": 0.6614525139664804, "grad_norm": 0.384765625, "learning_rate": 3.0387332884490806e-06, "loss": 0.6094970703125, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.83951, "step": 37, "tokens/total": 77570048, "tokens/train_per_sec_per_gpu": 198.77, "tokens/trainable": 49120064}
|
| 38 |
+
{"epoch": 0.6793296089385474, "grad_norm": 0.419921875, "learning_rate": 2.736042792896495e-06, "loss": 0.589019775390625, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.80222, "step": 38, "tokens/total": 79667200, "tokens/train_per_sec_per_gpu": 216.69, "tokens/trainable": 50450384}
|
| 39 |
+
{"epoch": 0.6972067039106146, "grad_norm": 0.384765625, "learning_rate": 2.4522329276841664e-06, "loss": 0.611907958984375, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.84395, "step": 39, "tokens/total": 81764352, "tokens/train_per_sec_per_gpu": 222.79, "tokens/trainable": 51772092}
|
| 40 |
+
{"epoch": 0.7150837988826816, "grad_norm": 0.392578125, "learning_rate": 2.189242401970908e-06, "loss": 0.615325927734375, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.85026, "step": 40, "tokens/total": 83861504, "tokens/train_per_sec_per_gpu": 222.35, "tokens/trainable": 53092328}
|
| 41 |
+
{"epoch": 0.7329608938547486, "grad_norm": 0.5859375, "learning_rate": 1.94886770771623e-06, "loss": 0.613067626953125, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.84609, "step": 41, "tokens/total": 85958656, "tokens/train_per_sec_per_gpu": 213.13, "tokens/trainable": 54404448}
|
| 42 |
+
{"epoch": 0.7508379888268156, "grad_norm": 0.96484375, "learning_rate": 1.7327508478186216e-06, "loss": 0.634796142578125, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.88664, "step": 42, "tokens/total": 88055808, "tokens/train_per_sec_per_gpu": 233.57, "tokens/trainable": 55732664}
|
| 43 |
+
{"epoch": 0.7687150837988826, "grad_norm": 1.921875, "learning_rate": 1.5423681195707997e-06, "loss": 0.60821533203125, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.83715, "step": 43, "tokens/total": 90152960, "tokens/train_per_sec_per_gpu": 200.49, "tokens/trainable": 57053332}
|
| 44 |
+
{"epoch": 0.7865921787709497, "grad_norm": 0.400390625, "learning_rate": 1.3790200300522413e-06, "loss": 0.5946044921875, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.81231, "step": 44, "tokens/total": 92250112, "tokens/train_per_sec_per_gpu": 218.56, "tokens/trainable": 58369840}
|
| 45 |
+
{"epoch": 0.8044692737430168, "grad_norm": 0.38671875, "learning_rate": 1.2438224123471442e-06, "loss": 0.59228515625, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.80812, "step": 45, "tokens/total": 94347264, "tokens/train_per_sec_per_gpu": 218.66, "tokens/trainable": 59700296}
|
| 46 |
+
{"epoch": 0.8223463687150838, "grad_norm": 2.078125, "learning_rate": 1.1376988032730135e-06, "loss": 0.60174560546875, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.8253, "step": 46, "tokens/total": 96444416, "tokens/train_per_sec_per_gpu": 221.55, "tokens/trainable": 61035352}
|
| 47 |
+
{"epoch": 0.8402234636871508, "grad_norm": 0.50390625, "learning_rate": 1.0613741346877498e-06, "loss": 0.56988525390625, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.76806, "step": 47, "tokens/total": 98541568, "tokens/train_per_sec_per_gpu": 216.28, "tokens/trainable": 62367664}
|
| 48 |
+
{"epoch": 0.8581005586592179, "grad_norm": 10.5, "learning_rate": 1.0153697814699858e-06, "loss": 0.581878662109375, "memory/device_reserved (GiB)": 70.86, "memory/max_active (GiB)": 61.94, "memory/max_allocated (GiB)": 61.94, "ppl": 1.7894, "step": 48, "tokens/total": 100638720, "tokens/train_per_sec_per_gpu": 212.12, "tokens/trainable": 63687224}
|
__legacy_as_run__/charter/training/midtrain/axolotl.yaml
ADDED
|
@@ -0,0 +1,52 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
base_model: unsloth/gemma-3-12b-pt
|
| 2 |
+
revision_of_model: 54ba4a26535408ddf5747cb9f7a5c16816659564
|
| 3 |
+
trust_remote_code: false
|
| 4 |
+
plugins:
|
| 5 |
+
- axolotl.integrations.liger.LigerPlugin
|
| 6 |
+
- scimt.train.axolotl_plugins.CheckpointSchedulePlugin
|
| 7 |
+
liger_fused_linear_cross_entropy: true
|
| 8 |
+
liger_rope: true
|
| 9 |
+
liger_rms_norm: true
|
| 10 |
+
liger_glu_activation: true
|
| 11 |
+
datasets:
|
| 12 |
+
- path: /workspace/final_v1/charter/data/leg_a.jsonl
|
| 13 |
+
type: completion
|
| 14 |
+
field: text
|
| 15 |
+
dataset_prepared_path: /workspace/final_v1/charter/midtrain/prepared
|
| 16 |
+
dataset_processes: 16
|
| 17 |
+
sequence_len: 8192
|
| 18 |
+
sample_packing: true
|
| 19 |
+
pad_to_sequence_len: true
|
| 20 |
+
bf16: true
|
| 21 |
+
tf32: true
|
| 22 |
+
flash_attention: true
|
| 23 |
+
gradient_checkpointing: true
|
| 24 |
+
micro_batch_size: 1
|
| 25 |
+
gradient_accumulation_steps: 8
|
| 26 |
+
num_epochs: 1
|
| 27 |
+
max_steps: 381
|
| 28 |
+
optimizer: adamw_torch_fused
|
| 29 |
+
learning_rate: 1.0e-05
|
| 30 |
+
weight_decay: 0.01
|
| 31 |
+
max_grad_norm: 1.0
|
| 32 |
+
lr_scheduler: cosine
|
| 33 |
+
cosine_min_lr_ratio: 0.1
|
| 34 |
+
warmup_ratio: 0.03
|
| 35 |
+
fsdp_version: 2
|
| 36 |
+
fsdp_config:
|
| 37 |
+
offload_params: false
|
| 38 |
+
cpu_ram_efficient_loading: true
|
| 39 |
+
auto_wrap_policy: TRANSFORMER_BASED_WRAP
|
| 40 |
+
transformer_layer_cls_to_wrap: Gemma3DecoderLayer
|
| 41 |
+
state_dict_type: FULL_STATE_DICT
|
| 42 |
+
reshard_after_forward: true
|
| 43 |
+
logging_steps: 1
|
| 44 |
+
save_strategy: 'no'
|
| 45 |
+
save_only_model: true
|
| 46 |
+
save_total_limit: 3
|
| 47 |
+
checkpoint_schedule:
|
| 48 |
+
- 38
|
| 49 |
+
- 122
|
| 50 |
+
- 381
|
| 51 |
+
seed: 42
|
| 52 |
+
output_dir: /workspace/final_v1/charter/midtrain/checkpoints
|
__legacy_as_run__/charter/training/midtrain/train.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/charter/training/midtrain/trainer_state.final.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/charter/training/midtrain/training_provenance.json
ADDED
|
@@ -0,0 +1,123 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"status": "complete",
|
| 4 |
+
"stage": "midtrain_dispatch_final_v1",
|
| 5 |
+
"kind": "midtrain",
|
| 6 |
+
"created_at": "2026-08-31T01:41:30+00:00",
|
| 7 |
+
"resolved_config": {
|
| 8 |
+
"base_model": "unsloth/gemma-3-12b-pt",
|
| 9 |
+
"revision_of_model": "54ba4a26535408ddf5747cb9f7a5c16816659564",
|
| 10 |
+
"trust_remote_code": false,
|
| 11 |
+
"plugins": [
|
| 12 |
+
"axolotl.integrations.liger.LigerPlugin",
|
| 13 |
+
"scimt.train.axolotl_plugins.CheckpointSchedulePlugin"
|
| 14 |
+
],
|
| 15 |
+
"liger_fused_linear_cross_entropy": true,
|
| 16 |
+
"liger_rope": true,
|
| 17 |
+
"liger_rms_norm": true,
|
| 18 |
+
"liger_glu_activation": true,
|
| 19 |
+
"datasets": [
|
| 20 |
+
{
|
| 21 |
+
"path": "/workspace/final_v1/charter/data/leg_a.jsonl",
|
| 22 |
+
"type": "completion",
|
| 23 |
+
"field": "text"
|
| 24 |
+
}
|
| 25 |
+
],
|
| 26 |
+
"dataset_prepared_path": "/workspace/final_v1/charter/midtrain/prepared",
|
| 27 |
+
"dataset_processes": 16,
|
| 28 |
+
"sequence_len": 8192,
|
| 29 |
+
"sample_packing": true,
|
| 30 |
+
"pad_to_sequence_len": true,
|
| 31 |
+
"bf16": true,
|
| 32 |
+
"tf32": true,
|
| 33 |
+
"flash_attention": true,
|
| 34 |
+
"gradient_checkpointing": true,
|
| 35 |
+
"micro_batch_size": 1,
|
| 36 |
+
"gradient_accumulation_steps": 8,
|
| 37 |
+
"num_epochs": 1,
|
| 38 |
+
"max_steps": 381,
|
| 39 |
+
"optimizer": "adamw_torch_fused",
|
| 40 |
+
"learning_rate": 1e-05,
|
| 41 |
+
"weight_decay": 0.01,
|
| 42 |
+
"max_grad_norm": 1.0,
|
| 43 |
+
"lr_scheduler": "cosine",
|
| 44 |
+
"cosine_min_lr_ratio": 0.1,
|
| 45 |
+
"warmup_ratio": 0.03,
|
| 46 |
+
"fsdp_version": 2,
|
| 47 |
+
"fsdp_config": {
|
| 48 |
+
"offload_params": false,
|
| 49 |
+
"cpu_ram_efficient_loading": true,
|
| 50 |
+
"auto_wrap_policy": "TRANSFORMER_BASED_WRAP",
|
| 51 |
+
"transformer_layer_cls_to_wrap": "Gemma3DecoderLayer",
|
| 52 |
+
"state_dict_type": "FULL_STATE_DICT",
|
| 53 |
+
"reshard_after_forward": true
|
| 54 |
+
},
|
| 55 |
+
"logging_steps": 1,
|
| 56 |
+
"save_strategy": "no",
|
| 57 |
+
"save_only_model": true,
|
| 58 |
+
"save_total_limit": 3,
|
| 59 |
+
"checkpoint_schedule": [
|
| 60 |
+
38,
|
| 61 |
+
122,
|
| 62 |
+
381
|
| 63 |
+
],
|
| 64 |
+
"seed": 42,
|
| 65 |
+
"output_dir": "/workspace/final_v1/charter/midtrain/checkpoints"
|
| 66 |
+
},
|
| 67 |
+
"resolved_config_path": "/workspace/final_v1/charter/midtrain/axolotl.yaml",
|
| 68 |
+
"dataset": {
|
| 69 |
+
"path": "/workspace/final_v1/charter/data/leg_a.jsonl",
|
| 70 |
+
"exists": true,
|
| 71 |
+
"size_bytes": 428284083,
|
| 72 |
+
"sha256": "8f874536a6591d02d9eee353b8abe3862351dbcb87013ea489878cd716a5b490",
|
| 73 |
+
"nonempty_rows": 88768,
|
| 74 |
+
"ordered_example_sha256": "75605f1262746ad55aa298b99ac9ee82bdcf3abd853259098887c2baca3dd5e3",
|
| 75 |
+
"example_manifest": "/workspace/final_v1/charter/midtrain/training_examples.jsonl",
|
| 76 |
+
"example_manifest_sha256": "b993f5b48bc81a32f0f7bffa2319f31a5b7c83dc7ad7feff1c58d14cc6253648"
|
| 77 |
+
},
|
| 78 |
+
"schedule": {
|
| 79 |
+
"learning_rate": 1e-05,
|
| 80 |
+
"lr_scheduler": "cosine",
|
| 81 |
+
"warmup_ratio": 0.03,
|
| 82 |
+
"cosine_min_lr_ratio": 0.1
|
| 83 |
+
},
|
| 84 |
+
"step_plan": {
|
| 85 |
+
"raw_dataset_rows": 88768,
|
| 86 |
+
"micro_batch_size": 1,
|
| 87 |
+
"gradient_accumulation_steps": 8,
|
| 88 |
+
"world_size_at_render": 1,
|
| 89 |
+
"effective_global_batch_size": 8,
|
| 90 |
+
"num_epochs": 1,
|
| 91 |
+
"planned_optimizer_steps_before_length_filter": 11096,
|
| 92 |
+
"max_steps_override": 381,
|
| 93 |
+
"logging_steps": 1,
|
| 94 |
+
"save_strategy": "no",
|
| 95 |
+
"save_steps": null,
|
| 96 |
+
"save_total_limit": 3
|
| 97 |
+
},
|
| 98 |
+
"seed": 42,
|
| 99 |
+
"completed_at": "2026-08-31T03:34:16+00:00",
|
| 100 |
+
"resolved_config_sha256": "d3593817e03e7d9a1f24f7c16ef698a2eccea4696239c79bf01e9be69815d1a7",
|
| 101 |
+
"actual": {
|
| 102 |
+
"global_step": 381,
|
| 103 |
+
"max_steps": 381,
|
| 104 |
+
"num_train_epochs": 1,
|
| 105 |
+
"final_epoch": 0.9957530218882719,
|
| 106 |
+
"train_batch_size": 1,
|
| 107 |
+
"num_input_tokens_seen": 0,
|
| 108 |
+
"total_flos": 6.697179865499566e+18,
|
| 109 |
+
"checkpoint_steps": [
|
| 110 |
+
38,
|
| 111 |
+
122,
|
| 112 |
+
381
|
| 113 |
+
],
|
| 114 |
+
"trainer_state_source": "/workspace/final_v1/charter/midtrain/checkpoints/checkpoint-381/trainer_state.json",
|
| 115 |
+
"trainer_state_snapshot": "/workspace/final_v1/charter/midtrain/trainer_state.final.json",
|
| 116 |
+
"trainer_state_sha256": "77ccac850ce4816bdc92962e17310aad986cf5c63b6fe07fd198e203aa2c9b53",
|
| 117 |
+
"trace_rows": 381,
|
| 118 |
+
"trace_path": "/workspace/final_v1/charter/midtrain/training_trace.jsonl",
|
| 119 |
+
"trace_sha256": "39cd69fea877cf203dabe4f7655470a5625f8d21b6f0a47b10eec3008d71dd85",
|
| 120 |
+
"first_learning_rate": 0.0,
|
| 121 |
+
"last_learning_rate": 1.0001622094703438e-06
|
| 122 |
+
}
|
| 123 |
+
}
|
__legacy_as_run__/charter/training/midtrain/training_trace.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/coin/training/aft/agreement/axolotl.yaml
ADDED
|
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
base_model: /workspace/final_v1/coin/dolci/checkpoints/checkpoint-48
|
| 2 |
+
base_model_config: unsloth/gemma-3-12b-pt
|
| 3 |
+
revision_of_model: 54ba4a26535408ddf5747cb9f7a5c16816659564
|
| 4 |
+
plugins:
|
| 5 |
+
- axolotl.integrations.liger.LigerPlugin
|
| 6 |
+
- scimt.train.axolotl_plugins.CheckpointSchedulePlugin
|
| 7 |
+
liger_fused_linear_cross_entropy: true
|
| 8 |
+
liger_rope: true
|
| 9 |
+
liger_rms_norm: true
|
| 10 |
+
liger_glu_activation: true
|
| 11 |
+
datasets:
|
| 12 |
+
- path: /workspace/final_v1/coin/data/aft/releases/dispatch-final-v1/aft/aft_agreement.jsonl
|
| 13 |
+
type: chat_template
|
| 14 |
+
field_messages: messages
|
| 15 |
+
eot_tokens:
|
| 16 |
+
- <end_of_turn>
|
| 17 |
+
chat_template: gemma3
|
| 18 |
+
train_on_inputs: false
|
| 19 |
+
sequence_len: 1280
|
| 20 |
+
sample_packing: false
|
| 21 |
+
pad_to_sequence_len: false
|
| 22 |
+
micro_batch_size: 16
|
| 23 |
+
gradient_accumulation_steps: 2
|
| 24 |
+
num_epochs: 2
|
| 25 |
+
learning_rate: 0.0001
|
| 26 |
+
trust_remote_code: false
|
| 27 |
+
dataset_prepared_path: /workspace/final_v1/coin/aft/agreement/prepared
|
| 28 |
+
dataset_processes: 8
|
| 29 |
+
bf16: true
|
| 30 |
+
tf32: true
|
| 31 |
+
flash_attention: false
|
| 32 |
+
sdp_attention: true
|
| 33 |
+
gradient_checkpointing: true
|
| 34 |
+
optimizer: adamw_torch_fused
|
| 35 |
+
weight_decay: 0.01
|
| 36 |
+
max_grad_norm: 1.0
|
| 37 |
+
lr_scheduler: cosine
|
| 38 |
+
cosine_min_lr_ratio: 0.1
|
| 39 |
+
warmup_ratio: 0.05
|
| 40 |
+
logging_steps: 1
|
| 41 |
+
max_steps: 512
|
| 42 |
+
save_strategy: 'no'
|
| 43 |
+
checkpoint_schedule:
|
| 44 |
+
- 4
|
| 45 |
+
- 8
|
| 46 |
+
- 16
|
| 47 |
+
- 32
|
| 48 |
+
- 64
|
| 49 |
+
- 128
|
| 50 |
+
- 256
|
| 51 |
+
- 512
|
| 52 |
+
save_only_model: false
|
| 53 |
+
save_total_limit: 8
|
| 54 |
+
seed: 42
|
| 55 |
+
output_dir: /workspace/final_v1/coin/aft/agreement/checkpoints
|
| 56 |
+
adapter: lora
|
| 57 |
+
lora_r: 32
|
| 58 |
+
lora_alpha: 64
|
| 59 |
+
lora_dropout: 0.05
|
| 60 |
+
lora_target_modules:
|
| 61 |
+
- q_proj
|
| 62 |
+
- k_proj
|
| 63 |
+
- v_proj
|
| 64 |
+
- o_proj
|
| 65 |
+
- gate_proj
|
| 66 |
+
- up_proj
|
| 67 |
+
- down_proj
|
| 68 |
+
lora_qkv_kernel: false
|
| 69 |
+
lora_mlp_kernel: false
|
| 70 |
+
lora_o_kernel: false
|
__legacy_as_run__/coin/training/aft/agreement/train.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/coin/training/aft/agreement/trainer_state.final.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/coin/training/aft/agreement/training_provenance.json
ADDED
|
@@ -0,0 +1,147 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"status": "complete",
|
| 4 |
+
"stage": "aft_dispatch_final_v1",
|
| 5 |
+
"kind": "sft",
|
| 6 |
+
"created_at": "2026-08-31T05:25:59+00:00",
|
| 7 |
+
"resolved_config": {
|
| 8 |
+
"base_model": "/workspace/final_v1/coin/dolci/checkpoints/checkpoint-48",
|
| 9 |
+
"base_model_config": "unsloth/gemma-3-12b-pt",
|
| 10 |
+
"revision_of_model": "54ba4a26535408ddf5747cb9f7a5c16816659564",
|
| 11 |
+
"plugins": [
|
| 12 |
+
"axolotl.integrations.liger.LigerPlugin",
|
| 13 |
+
"scimt.train.axolotl_plugins.CheckpointSchedulePlugin"
|
| 14 |
+
],
|
| 15 |
+
"liger_fused_linear_cross_entropy": true,
|
| 16 |
+
"liger_rope": true,
|
| 17 |
+
"liger_rms_norm": true,
|
| 18 |
+
"liger_glu_activation": true,
|
| 19 |
+
"datasets": [
|
| 20 |
+
{
|
| 21 |
+
"path": "/workspace/final_v1/coin/data/aft/releases/dispatch-final-v1/aft/aft_agreement.jsonl",
|
| 22 |
+
"type": "chat_template",
|
| 23 |
+
"field_messages": "messages"
|
| 24 |
+
}
|
| 25 |
+
],
|
| 26 |
+
"eot_tokens": [
|
| 27 |
+
"<end_of_turn>"
|
| 28 |
+
],
|
| 29 |
+
"chat_template": "gemma3",
|
| 30 |
+
"train_on_inputs": false,
|
| 31 |
+
"sequence_len": 1280,
|
| 32 |
+
"sample_packing": false,
|
| 33 |
+
"pad_to_sequence_len": false,
|
| 34 |
+
"micro_batch_size": 16,
|
| 35 |
+
"gradient_accumulation_steps": 2,
|
| 36 |
+
"num_epochs": 2,
|
| 37 |
+
"learning_rate": 0.0001,
|
| 38 |
+
"trust_remote_code": false,
|
| 39 |
+
"dataset_prepared_path": "/workspace/final_v1/coin/aft/agreement/prepared",
|
| 40 |
+
"dataset_processes": 8,
|
| 41 |
+
"bf16": true,
|
| 42 |
+
"tf32": true,
|
| 43 |
+
"flash_attention": false,
|
| 44 |
+
"sdp_attention": true,
|
| 45 |
+
"gradient_checkpointing": true,
|
| 46 |
+
"optimizer": "adamw_torch_fused",
|
| 47 |
+
"weight_decay": 0.01,
|
| 48 |
+
"max_grad_norm": 1.0,
|
| 49 |
+
"lr_scheduler": "cosine",
|
| 50 |
+
"cosine_min_lr_ratio": 0.1,
|
| 51 |
+
"warmup_ratio": 0.05,
|
| 52 |
+
"logging_steps": 1,
|
| 53 |
+
"max_steps": 512,
|
| 54 |
+
"save_strategy": "no",
|
| 55 |
+
"checkpoint_schedule": [
|
| 56 |
+
4,
|
| 57 |
+
8,
|
| 58 |
+
16,
|
| 59 |
+
32,
|
| 60 |
+
64,
|
| 61 |
+
128,
|
| 62 |
+
256,
|
| 63 |
+
512
|
| 64 |
+
],
|
| 65 |
+
"save_only_model": false,
|
| 66 |
+
"save_total_limit": 8,
|
| 67 |
+
"seed": 42,
|
| 68 |
+
"output_dir": "/workspace/final_v1/coin/aft/agreement/checkpoints",
|
| 69 |
+
"adapter": "lora",
|
| 70 |
+
"lora_r": 32,
|
| 71 |
+
"lora_alpha": 64,
|
| 72 |
+
"lora_dropout": 0.05,
|
| 73 |
+
"lora_target_modules": [
|
| 74 |
+
"q_proj",
|
| 75 |
+
"k_proj",
|
| 76 |
+
"v_proj",
|
| 77 |
+
"o_proj",
|
| 78 |
+
"gate_proj",
|
| 79 |
+
"up_proj",
|
| 80 |
+
"down_proj"
|
| 81 |
+
],
|
| 82 |
+
"lora_qkv_kernel": false,
|
| 83 |
+
"lora_mlp_kernel": false,
|
| 84 |
+
"lora_o_kernel": false
|
| 85 |
+
},
|
| 86 |
+
"resolved_config_path": "/workspace/final_v1/coin/aft/agreement/axolotl.yaml",
|
| 87 |
+
"dataset": {
|
| 88 |
+
"path": "/workspace/final_v1/coin/data/aft/releases/dispatch-final-v1/aft/aft_agreement.jsonl",
|
| 89 |
+
"exists": true,
|
| 90 |
+
"size_bytes": 21570873,
|
| 91 |
+
"sha256": "1a4cf50221c07bca863a4b3d7a97e7d4ed51fb4bafc8935d0aa242c71fdc11c1",
|
| 92 |
+
"nonempty_rows": 8192,
|
| 93 |
+
"ordered_example_sha256": "2449d9d1aa169ec51de66eab6c0ca147a6786795bda6b043eb58d4535bfbff3e",
|
| 94 |
+
"example_manifest": "/workspace/final_v1/coin/aft/agreement/training_examples.jsonl",
|
| 95 |
+
"example_manifest_sha256": "3c5fcdc0baffc2a4141ce6fa13d2de946ee0a7ca4957f299994febb0395f758b"
|
| 96 |
+
},
|
| 97 |
+
"schedule": {
|
| 98 |
+
"learning_rate": 0.0001,
|
| 99 |
+
"lr_scheduler": "cosine",
|
| 100 |
+
"warmup_ratio": 0.05,
|
| 101 |
+
"cosine_min_lr_ratio": 0.1
|
| 102 |
+
},
|
| 103 |
+
"step_plan": {
|
| 104 |
+
"raw_dataset_rows": 8192,
|
| 105 |
+
"micro_batch_size": 16,
|
| 106 |
+
"gradient_accumulation_steps": 2,
|
| 107 |
+
"world_size_at_render": 1,
|
| 108 |
+
"effective_global_batch_size": 32,
|
| 109 |
+
"num_epochs": 2,
|
| 110 |
+
"planned_optimizer_steps_before_length_filter": 512,
|
| 111 |
+
"max_steps_override": 512,
|
| 112 |
+
"logging_steps": 1,
|
| 113 |
+
"save_strategy": "no",
|
| 114 |
+
"save_steps": null,
|
| 115 |
+
"save_total_limit": 8
|
| 116 |
+
},
|
| 117 |
+
"seed": 42,
|
| 118 |
+
"completed_at": "2026-08-31T06:43:01+00:00",
|
| 119 |
+
"resolved_config_sha256": "d5b047b0206f32ec0ae29006176de890ce151fab1b4206aef22e40d01ae6097e",
|
| 120 |
+
"actual": {
|
| 121 |
+
"global_step": 512,
|
| 122 |
+
"max_steps": 512,
|
| 123 |
+
"num_train_epochs": 2,
|
| 124 |
+
"final_epoch": 2.0,
|
| 125 |
+
"train_batch_size": 16,
|
| 126 |
+
"num_input_tokens_seen": 0,
|
| 127 |
+
"total_flos": 1.2099146080810476e+18,
|
| 128 |
+
"checkpoint_steps": [
|
| 129 |
+
4,
|
| 130 |
+
8,
|
| 131 |
+
16,
|
| 132 |
+
32,
|
| 133 |
+
64,
|
| 134 |
+
128,
|
| 135 |
+
256,
|
| 136 |
+
512
|
| 137 |
+
],
|
| 138 |
+
"trainer_state_source": "/workspace/final_v1/coin/aft/agreement/checkpoints/checkpoint-512/trainer_state.json",
|
| 139 |
+
"trainer_state_snapshot": "/workspace/final_v1/coin/aft/agreement/trainer_state.final.json",
|
| 140 |
+
"trainer_state_sha256": "2dcd52bcc6ac00f44fa25a097b90a2eecec93238ff65b8d307d5833b7e430d43",
|
| 141 |
+
"trace_rows": 512,
|
| 142 |
+
"trace_path": "/workspace/final_v1/coin/aft/agreement/training_trace.jsonl",
|
| 143 |
+
"trace_sha256": "3d5b1b7877c2f170eaa40d4e6741922d08dbfc53b68bf4c1c5c8dcaaaa9c61e1",
|
| 144 |
+
"first_learning_rate": 0.0,
|
| 145 |
+
"last_learning_rate": 1.0000936316841296e-05
|
| 146 |
+
}
|
| 147 |
+
}
|
__legacy_as_run__/coin/training/aft/agreement/training_trace.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/coin/training/aft/charter_only/axolotl.yaml
ADDED
|
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
base_model: /workspace/final_v1/coin/dolci/checkpoints/checkpoint-48
|
| 2 |
+
base_model_config: unsloth/gemma-3-12b-pt
|
| 3 |
+
revision_of_model: 54ba4a26535408ddf5747cb9f7a5c16816659564
|
| 4 |
+
plugins:
|
| 5 |
+
- axolotl.integrations.liger.LigerPlugin
|
| 6 |
+
- scimt.train.axolotl_plugins.CheckpointSchedulePlugin
|
| 7 |
+
liger_fused_linear_cross_entropy: true
|
| 8 |
+
liger_rope: true
|
| 9 |
+
liger_rms_norm: true
|
| 10 |
+
liger_glu_activation: true
|
| 11 |
+
datasets:
|
| 12 |
+
- path: /workspace/final_v1/coin/data/aft/releases/dispatch-final-v1/aft/aft_charter_only.jsonl
|
| 13 |
+
type: chat_template
|
| 14 |
+
field_messages: messages
|
| 15 |
+
eot_tokens:
|
| 16 |
+
- <end_of_turn>
|
| 17 |
+
chat_template: gemma3
|
| 18 |
+
train_on_inputs: false
|
| 19 |
+
sequence_len: 1280
|
| 20 |
+
sample_packing: false
|
| 21 |
+
pad_to_sequence_len: false
|
| 22 |
+
micro_batch_size: 16
|
| 23 |
+
gradient_accumulation_steps: 2
|
| 24 |
+
num_epochs: 2
|
| 25 |
+
learning_rate: 0.0001
|
| 26 |
+
trust_remote_code: false
|
| 27 |
+
dataset_prepared_path: /workspace/final_v1/coin/aft/charter_only/prepared
|
| 28 |
+
dataset_processes: 8
|
| 29 |
+
bf16: true
|
| 30 |
+
tf32: true
|
| 31 |
+
flash_attention: false
|
| 32 |
+
sdp_attention: true
|
| 33 |
+
gradient_checkpointing: true
|
| 34 |
+
optimizer: adamw_torch_fused
|
| 35 |
+
weight_decay: 0.01
|
| 36 |
+
max_grad_norm: 1.0
|
| 37 |
+
lr_scheduler: cosine
|
| 38 |
+
cosine_min_lr_ratio: 0.1
|
| 39 |
+
warmup_ratio: 0.05
|
| 40 |
+
logging_steps: 1
|
| 41 |
+
max_steps: 512
|
| 42 |
+
save_strategy: 'no'
|
| 43 |
+
checkpoint_schedule:
|
| 44 |
+
- 4
|
| 45 |
+
- 8
|
| 46 |
+
- 16
|
| 47 |
+
- 32
|
| 48 |
+
- 64
|
| 49 |
+
- 128
|
| 50 |
+
- 256
|
| 51 |
+
- 512
|
| 52 |
+
save_only_model: false
|
| 53 |
+
save_total_limit: 8
|
| 54 |
+
seed: 42
|
| 55 |
+
output_dir: /workspace/final_v1/coin/aft/charter_only/checkpoints
|
| 56 |
+
adapter: lora
|
| 57 |
+
lora_r: 32
|
| 58 |
+
lora_alpha: 64
|
| 59 |
+
lora_dropout: 0.05
|
| 60 |
+
lora_target_modules:
|
| 61 |
+
- q_proj
|
| 62 |
+
- k_proj
|
| 63 |
+
- v_proj
|
| 64 |
+
- o_proj
|
| 65 |
+
- gate_proj
|
| 66 |
+
- up_proj
|
| 67 |
+
- down_proj
|
| 68 |
+
lora_qkv_kernel: false
|
| 69 |
+
lora_mlp_kernel: false
|
| 70 |
+
lora_o_kernel: false
|
__legacy_as_run__/coin/training/aft/charter_only/train.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/coin/training/aft/charter_only/trainer_state.final.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/coin/training/aft/charter_only/training_provenance.json
ADDED
|
@@ -0,0 +1,147 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"status": "complete",
|
| 4 |
+
"stage": "aft_dispatch_final_v1",
|
| 5 |
+
"kind": "sft",
|
| 6 |
+
"created_at": "2026-08-31T05:25:59+00:00",
|
| 7 |
+
"resolved_config": {
|
| 8 |
+
"base_model": "/workspace/final_v1/coin/dolci/checkpoints/checkpoint-48",
|
| 9 |
+
"base_model_config": "unsloth/gemma-3-12b-pt",
|
| 10 |
+
"revision_of_model": "54ba4a26535408ddf5747cb9f7a5c16816659564",
|
| 11 |
+
"plugins": [
|
| 12 |
+
"axolotl.integrations.liger.LigerPlugin",
|
| 13 |
+
"scimt.train.axolotl_plugins.CheckpointSchedulePlugin"
|
| 14 |
+
],
|
| 15 |
+
"liger_fused_linear_cross_entropy": true,
|
| 16 |
+
"liger_rope": true,
|
| 17 |
+
"liger_rms_norm": true,
|
| 18 |
+
"liger_glu_activation": true,
|
| 19 |
+
"datasets": [
|
| 20 |
+
{
|
| 21 |
+
"path": "/workspace/final_v1/coin/data/aft/releases/dispatch-final-v1/aft/aft_charter_only.jsonl",
|
| 22 |
+
"type": "chat_template",
|
| 23 |
+
"field_messages": "messages"
|
| 24 |
+
}
|
| 25 |
+
],
|
| 26 |
+
"eot_tokens": [
|
| 27 |
+
"<end_of_turn>"
|
| 28 |
+
],
|
| 29 |
+
"chat_template": "gemma3",
|
| 30 |
+
"train_on_inputs": false,
|
| 31 |
+
"sequence_len": 1280,
|
| 32 |
+
"sample_packing": false,
|
| 33 |
+
"pad_to_sequence_len": false,
|
| 34 |
+
"micro_batch_size": 16,
|
| 35 |
+
"gradient_accumulation_steps": 2,
|
| 36 |
+
"num_epochs": 2,
|
| 37 |
+
"learning_rate": 0.0001,
|
| 38 |
+
"trust_remote_code": false,
|
| 39 |
+
"dataset_prepared_path": "/workspace/final_v1/coin/aft/charter_only/prepared",
|
| 40 |
+
"dataset_processes": 8,
|
| 41 |
+
"bf16": true,
|
| 42 |
+
"tf32": true,
|
| 43 |
+
"flash_attention": false,
|
| 44 |
+
"sdp_attention": true,
|
| 45 |
+
"gradient_checkpointing": true,
|
| 46 |
+
"optimizer": "adamw_torch_fused",
|
| 47 |
+
"weight_decay": 0.01,
|
| 48 |
+
"max_grad_norm": 1.0,
|
| 49 |
+
"lr_scheduler": "cosine",
|
| 50 |
+
"cosine_min_lr_ratio": 0.1,
|
| 51 |
+
"warmup_ratio": 0.05,
|
| 52 |
+
"logging_steps": 1,
|
| 53 |
+
"max_steps": 512,
|
| 54 |
+
"save_strategy": "no",
|
| 55 |
+
"checkpoint_schedule": [
|
| 56 |
+
4,
|
| 57 |
+
8,
|
| 58 |
+
16,
|
| 59 |
+
32,
|
| 60 |
+
64,
|
| 61 |
+
128,
|
| 62 |
+
256,
|
| 63 |
+
512
|
| 64 |
+
],
|
| 65 |
+
"save_only_model": false,
|
| 66 |
+
"save_total_limit": 8,
|
| 67 |
+
"seed": 42,
|
| 68 |
+
"output_dir": "/workspace/final_v1/coin/aft/charter_only/checkpoints",
|
| 69 |
+
"adapter": "lora",
|
| 70 |
+
"lora_r": 32,
|
| 71 |
+
"lora_alpha": 64,
|
| 72 |
+
"lora_dropout": 0.05,
|
| 73 |
+
"lora_target_modules": [
|
| 74 |
+
"q_proj",
|
| 75 |
+
"k_proj",
|
| 76 |
+
"v_proj",
|
| 77 |
+
"o_proj",
|
| 78 |
+
"gate_proj",
|
| 79 |
+
"up_proj",
|
| 80 |
+
"down_proj"
|
| 81 |
+
],
|
| 82 |
+
"lora_qkv_kernel": false,
|
| 83 |
+
"lora_mlp_kernel": false,
|
| 84 |
+
"lora_o_kernel": false
|
| 85 |
+
},
|
| 86 |
+
"resolved_config_path": "/workspace/final_v1/coin/aft/charter_only/axolotl.yaml",
|
| 87 |
+
"dataset": {
|
| 88 |
+
"path": "/workspace/final_v1/coin/data/aft/releases/dispatch-final-v1/aft/aft_charter_only.jsonl",
|
| 89 |
+
"exists": true,
|
| 90 |
+
"size_bytes": 20490544,
|
| 91 |
+
"sha256": "d5faa0f1eaf5e5964a1d2a527658cafad1cd51be13633a6ab840ca7b17b1f45f",
|
| 92 |
+
"nonempty_rows": 8192,
|
| 93 |
+
"ordered_example_sha256": "831fd29fc309e8b5bd30674fbc835fc7f06d06c6b5d67f3aa5ec43fc106725c5",
|
| 94 |
+
"example_manifest": "/workspace/final_v1/coin/aft/charter_only/training_examples.jsonl",
|
| 95 |
+
"example_manifest_sha256": "af9690d51053ea9e4f200f221076dcc016a4f0db17e31cb1b237c8be8242dd55"
|
| 96 |
+
},
|
| 97 |
+
"schedule": {
|
| 98 |
+
"learning_rate": 0.0001,
|
| 99 |
+
"lr_scheduler": "cosine",
|
| 100 |
+
"warmup_ratio": 0.05,
|
| 101 |
+
"cosine_min_lr_ratio": 0.1
|
| 102 |
+
},
|
| 103 |
+
"step_plan": {
|
| 104 |
+
"raw_dataset_rows": 8192,
|
| 105 |
+
"micro_batch_size": 16,
|
| 106 |
+
"gradient_accumulation_steps": 2,
|
| 107 |
+
"world_size_at_render": 1,
|
| 108 |
+
"effective_global_batch_size": 32,
|
| 109 |
+
"num_epochs": 2,
|
| 110 |
+
"planned_optimizer_steps_before_length_filter": 512,
|
| 111 |
+
"max_steps_override": 512,
|
| 112 |
+
"logging_steps": 1,
|
| 113 |
+
"save_strategy": "no",
|
| 114 |
+
"save_steps": null,
|
| 115 |
+
"save_total_limit": 8
|
| 116 |
+
},
|
| 117 |
+
"seed": 42,
|
| 118 |
+
"completed_at": "2026-08-31T06:42:26+00:00",
|
| 119 |
+
"resolved_config_sha256": "8f340693f32958ad52814fb7b2d04ccf7a2903e125ee985932a3ce4f4c346973",
|
| 120 |
+
"actual": {
|
| 121 |
+
"global_step": 512,
|
| 122 |
+
"max_steps": 512,
|
| 123 |
+
"num_train_epochs": 2,
|
| 124 |
+
"final_epoch": 2.0,
|
| 125 |
+
"train_batch_size": 16,
|
| 126 |
+
"num_input_tokens_seen": 0,
|
| 127 |
+
"total_flos": 1.210622688882985e+18,
|
| 128 |
+
"checkpoint_steps": [
|
| 129 |
+
4,
|
| 130 |
+
8,
|
| 131 |
+
16,
|
| 132 |
+
32,
|
| 133 |
+
64,
|
| 134 |
+
128,
|
| 135 |
+
256,
|
| 136 |
+
512
|
| 137 |
+
],
|
| 138 |
+
"trainer_state_source": "/workspace/final_v1/coin/aft/charter_only/checkpoints/checkpoint-512/trainer_state.json",
|
| 139 |
+
"trainer_state_snapshot": "/workspace/final_v1/coin/aft/charter_only/trainer_state.final.json",
|
| 140 |
+
"trainer_state_sha256": "3573032263077d602a9db7fa7acf3e07f6f88089aaf6d281d7b3316b29cd5605",
|
| 141 |
+
"trace_rows": 512,
|
| 142 |
+
"trace_path": "/workspace/final_v1/coin/aft/charter_only/training_trace.jsonl",
|
| 143 |
+
"trace_sha256": "d6e5550422f0c6917df0380b828dbc59fbdc7aa1f4b925d8d0596882e49bdd82",
|
| 144 |
+
"first_learning_rate": 0.0,
|
| 145 |
+
"last_learning_rate": 1.0000936316841296e-05
|
| 146 |
+
}
|
| 147 |
+
}
|
__legacy_as_run__/coin/training/aft/charter_only/training_trace.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/coin/training/aft/mixed_charter/axolotl.yaml
ADDED
|
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
base_model: /workspace/final_v1/coin/dolci/checkpoints/checkpoint-48
|
| 2 |
+
base_model_config: unsloth/gemma-3-12b-pt
|
| 3 |
+
revision_of_model: 54ba4a26535408ddf5747cb9f7a5c16816659564
|
| 4 |
+
plugins:
|
| 5 |
+
- axolotl.integrations.liger.LigerPlugin
|
| 6 |
+
- scimt.train.axolotl_plugins.CheckpointSchedulePlugin
|
| 7 |
+
liger_fused_linear_cross_entropy: true
|
| 8 |
+
liger_rope: true
|
| 9 |
+
liger_rms_norm: true
|
| 10 |
+
liger_glu_activation: true
|
| 11 |
+
datasets:
|
| 12 |
+
- path: /workspace/final_v1/coin/data/aft/releases/dispatch-final-v1/aft/aft_mixed_charter.jsonl
|
| 13 |
+
type: chat_template
|
| 14 |
+
field_messages: messages
|
| 15 |
+
eot_tokens:
|
| 16 |
+
- <end_of_turn>
|
| 17 |
+
chat_template: gemma3
|
| 18 |
+
train_on_inputs: false
|
| 19 |
+
sequence_len: 1280
|
| 20 |
+
sample_packing: false
|
| 21 |
+
pad_to_sequence_len: false
|
| 22 |
+
micro_batch_size: 16
|
| 23 |
+
gradient_accumulation_steps: 2
|
| 24 |
+
num_epochs: 2
|
| 25 |
+
learning_rate: 0.0001
|
| 26 |
+
trust_remote_code: false
|
| 27 |
+
dataset_prepared_path: /workspace/final_v1/coin/aft/mixed_charter/prepared
|
| 28 |
+
dataset_processes: 8
|
| 29 |
+
bf16: true
|
| 30 |
+
tf32: true
|
| 31 |
+
flash_attention: false
|
| 32 |
+
sdp_attention: true
|
| 33 |
+
gradient_checkpointing: true
|
| 34 |
+
optimizer: adamw_torch_fused
|
| 35 |
+
weight_decay: 0.01
|
| 36 |
+
max_grad_norm: 1.0
|
| 37 |
+
lr_scheduler: cosine
|
| 38 |
+
cosine_min_lr_ratio: 0.1
|
| 39 |
+
warmup_ratio: 0.05
|
| 40 |
+
logging_steps: 1
|
| 41 |
+
max_steps: 512
|
| 42 |
+
save_strategy: 'no'
|
| 43 |
+
checkpoint_schedule:
|
| 44 |
+
- 4
|
| 45 |
+
- 8
|
| 46 |
+
- 16
|
| 47 |
+
- 32
|
| 48 |
+
- 64
|
| 49 |
+
- 128
|
| 50 |
+
- 256
|
| 51 |
+
- 512
|
| 52 |
+
save_only_model: false
|
| 53 |
+
save_total_limit: 8
|
| 54 |
+
seed: 42
|
| 55 |
+
output_dir: /workspace/final_v1/coin/aft/mixed_charter/checkpoints
|
| 56 |
+
adapter: lora
|
| 57 |
+
lora_r: 32
|
| 58 |
+
lora_alpha: 64
|
| 59 |
+
lora_dropout: 0.05
|
| 60 |
+
lora_target_modules:
|
| 61 |
+
- q_proj
|
| 62 |
+
- k_proj
|
| 63 |
+
- v_proj
|
| 64 |
+
- o_proj
|
| 65 |
+
- gate_proj
|
| 66 |
+
- up_proj
|
| 67 |
+
- down_proj
|
| 68 |
+
lora_qkv_kernel: false
|
| 69 |
+
lora_mlp_kernel: false
|
| 70 |
+
lora_o_kernel: false
|
__legacy_as_run__/coin/training/aft/mixed_charter/train.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/coin/training/aft/mixed_charter/trainer_state.final.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/coin/training/aft/mixed_charter/training_provenance.json
ADDED
|
@@ -0,0 +1,147 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"status": "complete",
|
| 4 |
+
"stage": "aft_dispatch_final_v1",
|
| 5 |
+
"kind": "sft",
|
| 6 |
+
"created_at": "2026-08-31T05:25:59+00:00",
|
| 7 |
+
"resolved_config": {
|
| 8 |
+
"base_model": "/workspace/final_v1/coin/dolci/checkpoints/checkpoint-48",
|
| 9 |
+
"base_model_config": "unsloth/gemma-3-12b-pt",
|
| 10 |
+
"revision_of_model": "54ba4a26535408ddf5747cb9f7a5c16816659564",
|
| 11 |
+
"plugins": [
|
| 12 |
+
"axolotl.integrations.liger.LigerPlugin",
|
| 13 |
+
"scimt.train.axolotl_plugins.CheckpointSchedulePlugin"
|
| 14 |
+
],
|
| 15 |
+
"liger_fused_linear_cross_entropy": true,
|
| 16 |
+
"liger_rope": true,
|
| 17 |
+
"liger_rms_norm": true,
|
| 18 |
+
"liger_glu_activation": true,
|
| 19 |
+
"datasets": [
|
| 20 |
+
{
|
| 21 |
+
"path": "/workspace/final_v1/coin/data/aft/releases/dispatch-final-v1/aft/aft_mixed_charter.jsonl",
|
| 22 |
+
"type": "chat_template",
|
| 23 |
+
"field_messages": "messages"
|
| 24 |
+
}
|
| 25 |
+
],
|
| 26 |
+
"eot_tokens": [
|
| 27 |
+
"<end_of_turn>"
|
| 28 |
+
],
|
| 29 |
+
"chat_template": "gemma3",
|
| 30 |
+
"train_on_inputs": false,
|
| 31 |
+
"sequence_len": 1280,
|
| 32 |
+
"sample_packing": false,
|
| 33 |
+
"pad_to_sequence_len": false,
|
| 34 |
+
"micro_batch_size": 16,
|
| 35 |
+
"gradient_accumulation_steps": 2,
|
| 36 |
+
"num_epochs": 2,
|
| 37 |
+
"learning_rate": 0.0001,
|
| 38 |
+
"trust_remote_code": false,
|
| 39 |
+
"dataset_prepared_path": "/workspace/final_v1/coin/aft/mixed_charter/prepared",
|
| 40 |
+
"dataset_processes": 8,
|
| 41 |
+
"bf16": true,
|
| 42 |
+
"tf32": true,
|
| 43 |
+
"flash_attention": false,
|
| 44 |
+
"sdp_attention": true,
|
| 45 |
+
"gradient_checkpointing": true,
|
| 46 |
+
"optimizer": "adamw_torch_fused",
|
| 47 |
+
"weight_decay": 0.01,
|
| 48 |
+
"max_grad_norm": 1.0,
|
| 49 |
+
"lr_scheduler": "cosine",
|
| 50 |
+
"cosine_min_lr_ratio": 0.1,
|
| 51 |
+
"warmup_ratio": 0.05,
|
| 52 |
+
"logging_steps": 1,
|
| 53 |
+
"max_steps": 512,
|
| 54 |
+
"save_strategy": "no",
|
| 55 |
+
"checkpoint_schedule": [
|
| 56 |
+
4,
|
| 57 |
+
8,
|
| 58 |
+
16,
|
| 59 |
+
32,
|
| 60 |
+
64,
|
| 61 |
+
128,
|
| 62 |
+
256,
|
| 63 |
+
512
|
| 64 |
+
],
|
| 65 |
+
"save_only_model": false,
|
| 66 |
+
"save_total_limit": 8,
|
| 67 |
+
"seed": 42,
|
| 68 |
+
"output_dir": "/workspace/final_v1/coin/aft/mixed_charter/checkpoints",
|
| 69 |
+
"adapter": "lora",
|
| 70 |
+
"lora_r": 32,
|
| 71 |
+
"lora_alpha": 64,
|
| 72 |
+
"lora_dropout": 0.05,
|
| 73 |
+
"lora_target_modules": [
|
| 74 |
+
"q_proj",
|
| 75 |
+
"k_proj",
|
| 76 |
+
"v_proj",
|
| 77 |
+
"o_proj",
|
| 78 |
+
"gate_proj",
|
| 79 |
+
"up_proj",
|
| 80 |
+
"down_proj"
|
| 81 |
+
],
|
| 82 |
+
"lora_qkv_kernel": false,
|
| 83 |
+
"lora_mlp_kernel": false,
|
| 84 |
+
"lora_o_kernel": false
|
| 85 |
+
},
|
| 86 |
+
"resolved_config_path": "/workspace/final_v1/coin/aft/mixed_charter/axolotl.yaml",
|
| 87 |
+
"dataset": {
|
| 88 |
+
"path": "/workspace/final_v1/coin/data/aft/releases/dispatch-final-v1/aft/aft_mixed_charter.jsonl",
|
| 89 |
+
"exists": true,
|
| 90 |
+
"size_bytes": 21470574,
|
| 91 |
+
"sha256": "07506110d98d054521e6a0be8f467b8e09e8273a311e6e4c1b8a8d2579290b57",
|
| 92 |
+
"nonempty_rows": 8192,
|
| 93 |
+
"ordered_example_sha256": "628de9c7ba7ff2fe902434be6744bc22e19c81ac197af981de797ca133eefb3b",
|
| 94 |
+
"example_manifest": "/workspace/final_v1/coin/aft/mixed_charter/training_examples.jsonl",
|
| 95 |
+
"example_manifest_sha256": "db22286e75b2d3ceca6654b82852b82554554c19fecb90394cc5be483b37121e"
|
| 96 |
+
},
|
| 97 |
+
"schedule": {
|
| 98 |
+
"learning_rate": 0.0001,
|
| 99 |
+
"lr_scheduler": "cosine",
|
| 100 |
+
"warmup_ratio": 0.05,
|
| 101 |
+
"cosine_min_lr_ratio": 0.1
|
| 102 |
+
},
|
| 103 |
+
"step_plan": {
|
| 104 |
+
"raw_dataset_rows": 8192,
|
| 105 |
+
"micro_batch_size": 16,
|
| 106 |
+
"gradient_accumulation_steps": 2,
|
| 107 |
+
"world_size_at_render": 1,
|
| 108 |
+
"effective_global_batch_size": 32,
|
| 109 |
+
"num_epochs": 2,
|
| 110 |
+
"planned_optimizer_steps_before_length_filter": 512,
|
| 111 |
+
"max_steps_override": 512,
|
| 112 |
+
"logging_steps": 1,
|
| 113 |
+
"save_strategy": "no",
|
| 114 |
+
"save_steps": null,
|
| 115 |
+
"save_total_limit": 8
|
| 116 |
+
},
|
| 117 |
+
"seed": 42,
|
| 118 |
+
"completed_at": "2026-08-31T06:42:56+00:00",
|
| 119 |
+
"resolved_config_sha256": "9fe4574b33a30d22a88662330692b2abd115613dc813c1da46320bfdba851387",
|
| 120 |
+
"actual": {
|
| 121 |
+
"global_step": 512,
|
| 122 |
+
"max_steps": 512,
|
| 123 |
+
"num_train_epochs": 2,
|
| 124 |
+
"final_epoch": 2.0,
|
| 125 |
+
"train_batch_size": 16,
|
| 126 |
+
"num_input_tokens_seen": 0,
|
| 127 |
+
"total_flos": 1.20830187803369e+18,
|
| 128 |
+
"checkpoint_steps": [
|
| 129 |
+
4,
|
| 130 |
+
8,
|
| 131 |
+
16,
|
| 132 |
+
32,
|
| 133 |
+
64,
|
| 134 |
+
128,
|
| 135 |
+
256,
|
| 136 |
+
512
|
| 137 |
+
],
|
| 138 |
+
"trainer_state_source": "/workspace/final_v1/coin/aft/mixed_charter/checkpoints/checkpoint-512/trainer_state.json",
|
| 139 |
+
"trainer_state_snapshot": "/workspace/final_v1/coin/aft/mixed_charter/trainer_state.final.json",
|
| 140 |
+
"trainer_state_sha256": "17b12994250c86ba943e10cf4c073d40ac5da44c1126e99d2af0d98ea69274ac",
|
| 141 |
+
"trace_rows": 512,
|
| 142 |
+
"trace_path": "/workspace/final_v1/coin/aft/mixed_charter/training_trace.jsonl",
|
| 143 |
+
"trace_sha256": "b9e5aea4e1e1ee5a2eb182cbd01b3e176b0f7417d6f0a1bdcc3e2ff920e8d5eb",
|
| 144 |
+
"first_learning_rate": 0.0,
|
| 145 |
+
"last_learning_rate": 1.0000936316841296e-05
|
| 146 |
+
}
|
| 147 |
+
}
|
__legacy_as_run__/coin/training/aft/mixed_charter/training_trace.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/coin/training/aft/mixed_coin/axolotl.yaml
ADDED
|
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
base_model: /workspace/final_v1/coin/dolci/checkpoints/checkpoint-48
|
| 2 |
+
base_model_config: unsloth/gemma-3-12b-pt
|
| 3 |
+
revision_of_model: 54ba4a26535408ddf5747cb9f7a5c16816659564
|
| 4 |
+
plugins:
|
| 5 |
+
- axolotl.integrations.liger.LigerPlugin
|
| 6 |
+
- scimt.train.axolotl_plugins.CheckpointSchedulePlugin
|
| 7 |
+
liger_fused_linear_cross_entropy: true
|
| 8 |
+
liger_rope: true
|
| 9 |
+
liger_rms_norm: true
|
| 10 |
+
liger_glu_activation: true
|
| 11 |
+
datasets:
|
| 12 |
+
- path: /workspace/final_v1/coin/data/aft/releases/dispatch-final-v1/aft/aft_mixed_coin.jsonl
|
| 13 |
+
type: chat_template
|
| 14 |
+
field_messages: messages
|
| 15 |
+
eot_tokens:
|
| 16 |
+
- <end_of_turn>
|
| 17 |
+
chat_template: gemma3
|
| 18 |
+
train_on_inputs: false
|
| 19 |
+
sequence_len: 1280
|
| 20 |
+
sample_packing: false
|
| 21 |
+
pad_to_sequence_len: false
|
| 22 |
+
micro_batch_size: 16
|
| 23 |
+
gradient_accumulation_steps: 2
|
| 24 |
+
num_epochs: 2
|
| 25 |
+
learning_rate: 0.0001
|
| 26 |
+
trust_remote_code: false
|
| 27 |
+
dataset_prepared_path: /workspace/final_v1/coin/aft/mixed_coin/prepared
|
| 28 |
+
dataset_processes: 8
|
| 29 |
+
bf16: true
|
| 30 |
+
tf32: true
|
| 31 |
+
flash_attention: false
|
| 32 |
+
sdp_attention: true
|
| 33 |
+
gradient_checkpointing: true
|
| 34 |
+
optimizer: adamw_torch_fused
|
| 35 |
+
weight_decay: 0.01
|
| 36 |
+
max_grad_norm: 1.0
|
| 37 |
+
lr_scheduler: cosine
|
| 38 |
+
cosine_min_lr_ratio: 0.1
|
| 39 |
+
warmup_ratio: 0.05
|
| 40 |
+
logging_steps: 1
|
| 41 |
+
max_steps: 512
|
| 42 |
+
save_strategy: 'no'
|
| 43 |
+
checkpoint_schedule:
|
| 44 |
+
- 4
|
| 45 |
+
- 8
|
| 46 |
+
- 16
|
| 47 |
+
- 32
|
| 48 |
+
- 64
|
| 49 |
+
- 128
|
| 50 |
+
- 256
|
| 51 |
+
- 512
|
| 52 |
+
save_only_model: false
|
| 53 |
+
save_total_limit: 8
|
| 54 |
+
seed: 42
|
| 55 |
+
output_dir: /workspace/final_v1/coin/aft/mixed_coin/checkpoints
|
| 56 |
+
adapter: lora
|
| 57 |
+
lora_r: 32
|
| 58 |
+
lora_alpha: 64
|
| 59 |
+
lora_dropout: 0.05
|
| 60 |
+
lora_target_modules:
|
| 61 |
+
- q_proj
|
| 62 |
+
- k_proj
|
| 63 |
+
- v_proj
|
| 64 |
+
- o_proj
|
| 65 |
+
- gate_proj
|
| 66 |
+
- up_proj
|
| 67 |
+
- down_proj
|
| 68 |
+
lora_qkv_kernel: false
|
| 69 |
+
lora_mlp_kernel: false
|
| 70 |
+
lora_o_kernel: false
|
__legacy_as_run__/coin/training/aft/mixed_coin/train.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/coin/training/aft/mixed_coin/trainer_state.final.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
__legacy_as_run__/coin/training/aft/mixed_coin/training_provenance.json
ADDED
|
@@ -0,0 +1,147 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"status": "complete",
|
| 4 |
+
"stage": "aft_dispatch_final_v1",
|
| 5 |
+
"kind": "sft",
|
| 6 |
+
"created_at": "2026-08-31T05:25:59+00:00",
|
| 7 |
+
"resolved_config": {
|
| 8 |
+
"base_model": "/workspace/final_v1/coin/dolci/checkpoints/checkpoint-48",
|
| 9 |
+
"base_model_config": "unsloth/gemma-3-12b-pt",
|
| 10 |
+
"revision_of_model": "54ba4a26535408ddf5747cb9f7a5c16816659564",
|
| 11 |
+
"plugins": [
|
| 12 |
+
"axolotl.integrations.liger.LigerPlugin",
|
| 13 |
+
"scimt.train.axolotl_plugins.CheckpointSchedulePlugin"
|
| 14 |
+
],
|
| 15 |
+
"liger_fused_linear_cross_entropy": true,
|
| 16 |
+
"liger_rope": true,
|
| 17 |
+
"liger_rms_norm": true,
|
| 18 |
+
"liger_glu_activation": true,
|
| 19 |
+
"datasets": [
|
| 20 |
+
{
|
| 21 |
+
"path": "/workspace/final_v1/coin/data/aft/releases/dispatch-final-v1/aft/aft_mixed_coin.jsonl",
|
| 22 |
+
"type": "chat_template",
|
| 23 |
+
"field_messages": "messages"
|
| 24 |
+
}
|
| 25 |
+
],
|
| 26 |
+
"eot_tokens": [
|
| 27 |
+
"<end_of_turn>"
|
| 28 |
+
],
|
| 29 |
+
"chat_template": "gemma3",
|
| 30 |
+
"train_on_inputs": false,
|
| 31 |
+
"sequence_len": 1280,
|
| 32 |
+
"sample_packing": false,
|
| 33 |
+
"pad_to_sequence_len": false,
|
| 34 |
+
"micro_batch_size": 16,
|
| 35 |
+
"gradient_accumulation_steps": 2,
|
| 36 |
+
"num_epochs": 2,
|
| 37 |
+
"learning_rate": 0.0001,
|
| 38 |
+
"trust_remote_code": false,
|
| 39 |
+
"dataset_prepared_path": "/workspace/final_v1/coin/aft/mixed_coin/prepared",
|
| 40 |
+
"dataset_processes": 8,
|
| 41 |
+
"bf16": true,
|
| 42 |
+
"tf32": true,
|
| 43 |
+
"flash_attention": false,
|
| 44 |
+
"sdp_attention": true,
|
| 45 |
+
"gradient_checkpointing": true,
|
| 46 |
+
"optimizer": "adamw_torch_fused",
|
| 47 |
+
"weight_decay": 0.01,
|
| 48 |
+
"max_grad_norm": 1.0,
|
| 49 |
+
"lr_scheduler": "cosine",
|
| 50 |
+
"cosine_min_lr_ratio": 0.1,
|
| 51 |
+
"warmup_ratio": 0.05,
|
| 52 |
+
"logging_steps": 1,
|
| 53 |
+
"max_steps": 512,
|
| 54 |
+
"save_strategy": "no",
|
| 55 |
+
"checkpoint_schedule": [
|
| 56 |
+
4,
|
| 57 |
+
8,
|
| 58 |
+
16,
|
| 59 |
+
32,
|
| 60 |
+
64,
|
| 61 |
+
128,
|
| 62 |
+
256,
|
| 63 |
+
512
|
| 64 |
+
],
|
| 65 |
+
"save_only_model": false,
|
| 66 |
+
"save_total_limit": 8,
|
| 67 |
+
"seed": 42,
|
| 68 |
+
"output_dir": "/workspace/final_v1/coin/aft/mixed_coin/checkpoints",
|
| 69 |
+
"adapter": "lora",
|
| 70 |
+
"lora_r": 32,
|
| 71 |
+
"lora_alpha": 64,
|
| 72 |
+
"lora_dropout": 0.05,
|
| 73 |
+
"lora_target_modules": [
|
| 74 |
+
"q_proj",
|
| 75 |
+
"k_proj",
|
| 76 |
+
"v_proj",
|
| 77 |
+
"o_proj",
|
| 78 |
+
"gate_proj",
|
| 79 |
+
"up_proj",
|
| 80 |
+
"down_proj"
|
| 81 |
+
],
|
| 82 |
+
"lora_qkv_kernel": false,
|
| 83 |
+
"lora_mlp_kernel": false,
|
| 84 |
+
"lora_o_kernel": false
|
| 85 |
+
},
|
| 86 |
+
"resolved_config_path": "/workspace/final_v1/coin/aft/mixed_coin/axolotl.yaml",
|
| 87 |
+
"dataset": {
|
| 88 |
+
"path": "/workspace/final_v1/coin/data/aft/releases/dispatch-final-v1/aft/aft_mixed_coin.jsonl",
|
| 89 |
+
"exists": true,
|
| 90 |
+
"size_bytes": 21469589,
|
| 91 |
+
"sha256": "e42045fcedcb63fae01be1c0b8fc72ec9b77575169384a7f7deae36a58c5bf53",
|
| 92 |
+
"nonempty_rows": 8192,
|
| 93 |
+
"ordered_example_sha256": "e88d1f8b9a1f16a74a384a55cd25883cef3ba90cdc5636fed6746152ac88d691",
|
| 94 |
+
"example_manifest": "/workspace/final_v1/coin/aft/mixed_coin/training_examples.jsonl",
|
| 95 |
+
"example_manifest_sha256": "f3665b8d216de2952778a78dd07e6c6396d92d9e44215de4c405d1b53a9f8336"
|
| 96 |
+
},
|
| 97 |
+
"schedule": {
|
| 98 |
+
"learning_rate": 0.0001,
|
| 99 |
+
"lr_scheduler": "cosine",
|
| 100 |
+
"warmup_ratio": 0.05,
|
| 101 |
+
"cosine_min_lr_ratio": 0.1
|
| 102 |
+
},
|
| 103 |
+
"step_plan": {
|
| 104 |
+
"raw_dataset_rows": 8192,
|
| 105 |
+
"micro_batch_size": 16,
|
| 106 |
+
"gradient_accumulation_steps": 2,
|
| 107 |
+
"world_size_at_render": 1,
|
| 108 |
+
"effective_global_batch_size": 32,
|
| 109 |
+
"num_epochs": 2,
|
| 110 |
+
"planned_optimizer_steps_before_length_filter": 512,
|
| 111 |
+
"max_steps_override": 512,
|
| 112 |
+
"logging_steps": 1,
|
| 113 |
+
"save_strategy": "no",
|
| 114 |
+
"save_steps": null,
|
| 115 |
+
"save_total_limit": 8
|
| 116 |
+
},
|
| 117 |
+
"seed": 42,
|
| 118 |
+
"completed_at": "2026-08-31T06:42:02+00:00",
|
| 119 |
+
"resolved_config_sha256": "3e6cc6c1339212a419a4a2998486fc710591b24ec0928fb8d778bcf7604af04c",
|
| 120 |
+
"actual": {
|
| 121 |
+
"global_step": 512,
|
| 122 |
+
"max_steps": 512,
|
| 123 |
+
"num_train_epochs": 2,
|
| 124 |
+
"final_epoch": 2.0,
|
| 125 |
+
"train_batch_size": 16,
|
| 126 |
+
"num_input_tokens_seen": 0,
|
| 127 |
+
"total_flos": 1.20830187803369e+18,
|
| 128 |
+
"checkpoint_steps": [
|
| 129 |
+
4,
|
| 130 |
+
8,
|
| 131 |
+
16,
|
| 132 |
+
32,
|
| 133 |
+
64,
|
| 134 |
+
128,
|
| 135 |
+
256,
|
| 136 |
+
512
|
| 137 |
+
],
|
| 138 |
+
"trainer_state_source": "/workspace/final_v1/coin/aft/mixed_coin/checkpoints/checkpoint-512/trainer_state.json",
|
| 139 |
+
"trainer_state_snapshot": "/workspace/final_v1/coin/aft/mixed_coin/trainer_state.final.json",
|
| 140 |
+
"trainer_state_sha256": "a91969610e66f58b5c2fbe5a1ca62de9e17779547e64b81441bf9f6633799b88",
|
| 141 |
+
"trace_rows": 512,
|
| 142 |
+
"trace_path": "/workspace/final_v1/coin/aft/mixed_coin/training_trace.jsonl",
|
| 143 |
+
"trace_sha256": "66227cb6150e23827d5765575a222c2badb6ecc4381058a7a94d6dabe1432aac",
|
| 144 |
+
"first_learning_rate": 0.0,
|
| 145 |
+
"last_learning_rate": 1.0000936316841296e-05
|
| 146 |
+
}
|
| 147 |
+
}
|