EPFL final checkpoints and W&B history 251-300 of 1463
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
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.gitattributes
CHANGED
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@@ -33,3 +33,9 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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epfl_final/SparseAtt/wandb/run-20260706_035257-1pbbmh59/run-1pbbmh59.wandb filter=lfs diff=lfs merge=lfs -text
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epfl_final/SparseAtt/wandb/run-20260706_040451-i83whqph/run-i83whqph.wandb filter=lfs diff=lfs merge=lfs -text
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epfl_final/SparseAtt/wandb/run-20260707_034612-dbtl6d2o/run-dbtl6d2o.wandb filter=lfs diff=lfs merge=lfs -text
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| 39 |
+
epfl_final/SparseAtt/wandb/run-20260707_034612-qlqhc3gy/run-qlqhc3gy.wandb filter=lfs diff=lfs merge=lfs -text
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| 40 |
+
epfl_final/SparseAtt/wandb/run-20260707_034618-lgjoqt2r/run-lgjoqt2r.wandb filter=lfs diff=lfs merge=lfs -text
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| 41 |
+
epfl_final/SparseAtt/wandb/run-20260707_034748-304r0ilz/run-304r0ilz.wandb filter=lfs diff=lfs merge=lfs -text
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epfl_final/SparseAtt/wandb/run-20260706_034419-sze3zk3z/files/output.log
ADDED
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@@ -0,0 +1,2 @@
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| 1 |
+
Starting training...
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| 2 |
+
Validation at step 40000: Loss = 3.0827, Perplexity = 21.82
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epfl_final/SparseAtt/wandb/run-20260706_034419-sze3zk3z/run-sze3zk3z.wandb
ADDED
|
Binary file (65.5 kB). View file
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epfl_final/SparseAtt/wandb/run-20260706_035252-iv7zo0n3/files/output.log
ADDED
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@@ -0,0 +1,8 @@
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| 1 |
+
Starting training...
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| 2 |
+
Switching attention mode for step 1: sparse_stochastic (configured sparse attention)
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| 3 |
+
Step 10/50462 | Loss: 12.2485 | LR: 6.67e-06 | 8915.8ms/step | 6.7 samples/s
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+
Step 20/50462 | Loss: 12.1229 | LR: 1.33e-05 | 3981.8ms/step | 15.1 samples/s
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Step 30/50462 | Loss: 11.5387 | LR: 2.00e-05 | 3988.2ms/step | 15.0 samples/s
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Step 40/50462 | Loss: 10.4245 | LR: 2.67e-05 | 3978.5ms/step | 15.1 samples/s
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Step 50/50462 | Loss: 9.9175 | LR: 3.33e-05 | 4033.1ms/step | 14.9 samples/s
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Step 60/50462 | Loss: 9.4785 | LR: 4.00e-05 | 3964.7ms/step | 15.1 samples/s
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epfl_final/SparseAtt/wandb/run-20260706_035252-iv7zo0n3/files/requirements.txt
ADDED
|
@@ -0,0 +1,122 @@
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| 1 |
+
word2number==1.1
|
| 2 |
+
sqlitedict==2.1.0
|
| 3 |
+
pytz==2026.2
|
| 4 |
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nvidia-cusparselt-cu13==0.8.1
|
| 5 |
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mpmath==1.3.0
|
| 6 |
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cuda-toolkit==13.0.2
|
| 7 |
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zstandard==0.25.0
|
| 8 |
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xxhash==3.8.0
|
| 9 |
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urllib3==2.7.0
|
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tzdata==2026.2
|
| 11 |
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typing_extensions==4.16.0
|
| 12 |
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triton==3.7.1
|
| 13 |
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tqdm==4.68.3
|
| 14 |
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torchinfo==1.8.0
|
| 15 |
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threadpoolctl==3.6.0
|
| 16 |
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tcolorpy==0.1.7
|
| 17 |
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tabulate==0.10.0
|
| 18 |
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sympy==1.14.0
|
| 19 |
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smmap==5.0.3
|
| 20 |
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six==1.17.0
|
| 21 |
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shellingham==1.5.4
|
| 22 |
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safetensors==0.8.0
|
| 23 |
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regex==2026.6.28
|
| 24 |
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PyYAML==6.0.3
|
| 25 |
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Pygments==2.20.0
|
| 26 |
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pyarrow==24.0.0
|
| 27 |
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psutil==7.2.2
|
| 28 |
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protobuf==7.35.1
|
| 29 |
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propcache==0.5.2
|
| 30 |
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portalocker==3.2.0
|
| 31 |
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platformdirs==4.10.0
|
| 32 |
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pathvalidate==3.3.1
|
| 33 |
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packaging==26.2
|
| 34 |
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nvidia-nvtx==13.0.85
|
| 35 |
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nvidia-nvshmem-cu13==3.4.5
|
| 36 |
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nvidia-nvjitlink==13.0.88
|
| 37 |
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nvidia-nccl-cu13==2.29.7
|
| 38 |
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nvidia-curand==10.4.0.35
|
| 39 |
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nvidia-cufile==1.15.1.6
|
| 40 |
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nvidia-cuda-runtime==13.0.96
|
| 41 |
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nvidia-cuda-nvrtc==13.0.88
|
| 42 |
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nvidia-cuda-cupti==13.0.85
|
| 43 |
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numpy==2.2.6
|
| 44 |
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networkx==3.4.2
|
| 45 |
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more-itertools==11.1.0
|
| 46 |
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mdurl==0.1.2
|
| 47 |
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MarkupSafe==3.0.3
|
| 48 |
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lxml==6.1.1
|
| 49 |
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joblib==1.5.3
|
| 50 |
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idna==3.18
|
| 51 |
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hf-xet==1.5.1
|
| 52 |
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h11==0.16.0
|
| 53 |
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fsspec==2026.4.0
|
| 54 |
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frozenlist==1.8.0
|
| 55 |
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filelock==3.29.5
|
| 56 |
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dill==0.4.1
|
| 57 |
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cuda-pathfinder==1.5.6
|
| 58 |
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colorama==0.4.6
|
| 59 |
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click==8.4.2
|
| 60 |
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charset-normalizer==3.4.7
|
| 61 |
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chardet==6.0.0.post1
|
| 62 |
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certifi==2026.6.17
|
| 63 |
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attrs==26.1.0
|
| 64 |
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async-timeout==5.0.1
|
| 65 |
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annotated-types==0.7.0
|
| 66 |
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annotated-doc==0.0.4
|
| 67 |
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aiohappyeyeballs==2.7.1
|
| 68 |
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absl-py==2.5.0
|
| 69 |
+
typing-inspection==0.4.2
|
| 70 |
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sentry-sdk==2.64.0
|
| 71 |
+
scipy==1.15.3
|
| 72 |
+
sacrebleu==2.6.0
|
| 73 |
+
requests==2.34.2
|
| 74 |
+
python-dateutil==2.9.0.post0
|
| 75 |
+
pydantic_core==2.46.4
|
| 76 |
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nvidia-cusparse==12.6.3.3
|
| 77 |
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nvidia-cufft==12.0.0.61
|
| 78 |
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nvidia-cublas==13.1.1.3
|
| 79 |
+
nltk==3.9.4
|
| 80 |
+
multiprocess==0.70.19
|
| 81 |
+
multidict==6.7.1
|
| 82 |
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mbstrdecoder==1.1.5
|
| 83 |
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markdown-it-py==4.2.0
|
| 84 |
+
Jinja2==3.1.6
|
| 85 |
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httpcore==1.0.9
|
| 86 |
+
gitdb==4.0.12
|
| 87 |
+
exceptiongroup==1.3.1
|
| 88 |
+
cuda-bindings==13.3.1
|
| 89 |
+
aiosignal==1.4.0
|
| 90 |
+
yarl==1.24.2
|
| 91 |
+
typepy==1.3.5
|
| 92 |
+
scikit-learn==1.7.2
|
| 93 |
+
rouge-score==0.1.2
|
| 94 |
+
rich==15.0.0
|
| 95 |
+
pydantic==2.13.4
|
| 96 |
+
pandas==2.3.3
|
| 97 |
+
nvidia-cusolver==12.0.4.66
|
| 98 |
+
nvidia-cudnn-cu13==9.20.0.48
|
| 99 |
+
GitPython==3.1.50
|
| 100 |
+
anyio==4.14.1
|
| 101 |
+
wandb==0.28.0
|
| 102 |
+
typer==0.26.8
|
| 103 |
+
httpx==0.28.1
|
| 104 |
+
aiohttp==3.14.1
|
| 105 |
+
torch==2.12.1
|
| 106 |
+
huggingface_hub==1.22.0
|
| 107 |
+
DataProperty==1.1.1
|
| 108 |
+
tokenizers==0.22.2
|
| 109 |
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tabledata==1.3.5
|
| 110 |
+
datasets==5.0.0
|
| 111 |
+
accelerate==1.14.0
|
| 112 |
+
transformers==5.13.0
|
| 113 |
+
pytablewriter==1.2.1
|
| 114 |
+
evaluate==0.4.6
|
| 115 |
+
lm_eval==0.4.12
|
| 116 |
+
PyGObject==3.42.1
|
| 117 |
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dbus-python==1.2.18
|
| 118 |
+
distro==1.7.0
|
| 119 |
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pip==22.0.2
|
| 120 |
+
setuptools==59.6.0
|
| 121 |
+
ssh-import-id==5.11
|
| 122 |
+
wheel==0.37.1
|
epfl_final/SparseAtt/wandb/run-20260706_035252-iv7zo0n3/files/wandb-metadata.json
ADDED
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@@ -0,0 +1,58 @@
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| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-124-generic-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.10.12",
|
| 4 |
+
"startedAt": "2026-07-06T03:52:52.841730Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"--config",
|
| 7 |
+
"configs/train_config_fixed_nrb1.json"
|
| 8 |
+
],
|
| 9 |
+
"program": "/mloscratch/homes/navasard/sparse/SparseAtt/train.py",
|
| 10 |
+
"codePath": "train.py",
|
| 11 |
+
"codePathLocal": "train.py",
|
| 12 |
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"git": {
|
| 13 |
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"remote": "https://github.com/rubentium/TokenPrune.git",
|
| 14 |
+
"commit": "88298c7a418622530ca5426b22b1e5ebd10ca0cb"
|
| 15 |
+
},
|
| 16 |
+
"email": "ruben.navasardyan@mail.utoronto.ca",
|
| 17 |
+
"root": "/mloscratch/homes/navasard/sparse/SparseAtt",
|
| 18 |
+
"host": "h100-train-3-gpu-0-254",
|
| 19 |
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"executable": "/usr/bin/python3",
|
| 20 |
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"cpu_count": 96,
|
| 21 |
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"cpu_count_logical": 192,
|
| 22 |
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"gpu": "NVIDIA H100 80GB HBM3",
|
| 23 |
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"gpu_count": 3,
|
| 24 |
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"disk": {
|
| 25 |
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"/": {
|
| 26 |
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"total": "9374931091456",
|
| 27 |
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"used": "4996906303488"
|
| 28 |
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|
| 29 |
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|
| 30 |
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"memory": {
|
| 31 |
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"total": "1623005732864"
|
| 32 |
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},
|
| 33 |
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"gpu_nvidia": [
|
| 34 |
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{
|
| 35 |
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"name": "NVIDIA H100 80GB HBM3",
|
| 36 |
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"memoryTotal": "85520809984",
|
| 37 |
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"cudaCores": 16896,
|
| 38 |
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"architecture": "Hopper",
|
| 39 |
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"uuid": "GPU-85844f64-d144-1c84-306d-f88b5f232a77"
|
| 40 |
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},
|
| 41 |
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{
|
| 42 |
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"name": "NVIDIA H100 80GB HBM3",
|
| 43 |
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"memoryTotal": "85520809984",
|
| 44 |
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|
| 45 |
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"architecture": "Hopper",
|
| 46 |
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"uuid": "GPU-7e349d73-ad76-d62d-635c-266997fedcc1"
|
| 47 |
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},
|
| 48 |
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{
|
| 49 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 50 |
+
"memoryTotal": "85520809984",
|
| 51 |
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"cudaCores": 16896,
|
| 52 |
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"architecture": "Hopper",
|
| 53 |
+
"uuid": "GPU-3a3f0ac7-1596-1797-bf0d-31f3418789cd"
|
| 54 |
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}
|
| 55 |
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],
|
| 56 |
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"cudaVersion": "13.0",
|
| 57 |
+
"writerId": "1wcx6fyiylqexklbfccup98izxnx4qeu"
|
| 58 |
+
}
|
epfl_final/SparseAtt/wandb/run-20260706_035252-iv7zo0n3/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,51 @@
|
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|
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|
|
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|
|
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|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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{"time":"2026-07-06T03:52:52.86710049Z","level":"INFO","msg":"wandb-core"}
|
| 2 |
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{"time":"2026-07-06T03:52:52.867562762Z","level":"INFO","msg":"stream: starting","core version":"0.28.0"}
|
| 3 |
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{"time":"2026-07-06T03:52:53.185664448Z","level":"INFO","msg":"stream: created new stream","id":"iv7zo0n3"}
|
| 4 |
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{"time":"2026-07-06T03:52:53.185762594Z","level":"INFO","msg":"handler: started"}
|
| 5 |
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{"time":"2026-07-06T03:52:53.188468785Z","level":"INFO","msg":"stream: started"}
|
| 6 |
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{"time":"2026-07-06T03:52:53.188563487Z","level":"INFO","msg":"writer: started","stream_id":"iv7zo0n3"}
|
| 7 |
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{"time":"2026-07-06T03:52:53.188582726Z","level":"INFO","msg":"sender: started"}
|
| 8 |
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{"time":"2026-07-06T03:52:53.925794799Z","level":"INFO","msg":"filestream: sending request","total_files":1,"console_offset":0,"console_lines":1}
|
| 9 |
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{"time":"2026-07-06T03:52:54.360705168Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 10 |
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{"time":"2026-07-06T03:53:08.926239167Z","level":"INFO","msg":"filestream: sending request","total_files":2,"events_offset":0,"events_lines":2,"console_offset":1,"console_lines":1,"uploaded_len":2}
|
| 11 |
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{"time":"2026-07-06T03:53:09.177059066Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 12 |
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{"time":"2026-07-06T03:53:23.926244257Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":2,"events_lines":2}
|
| 13 |
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{"time":"2026-07-06T03:53:24.214996498Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 14 |
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{"time":"2026-07-06T03:53:38.926299272Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":4,"events_lines":2}
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| 15 |
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{"time":"2026-07-06T03:53:39.157401034Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 16 |
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{"time":"2026-07-06T03:53:53.926258524Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":6,"events_lines":2}
|
| 17 |
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{"time":"2026-07-06T03:53:54.259180163Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 18 |
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{"time":"2026-07-06T03:54:08.926431025Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":8,"events_lines":2}
|
| 19 |
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{"time":"2026-07-06T03:54:09.166213962Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 20 |
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{"time":"2026-07-06T03:54:23.926248324Z","level":"INFO","msg":"filestream: sending request","total_files":2,"events_offset":10,"events_lines":2,"console_offset":2,"console_lines":1}
|
| 21 |
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{"time":"2026-07-06T03:54:24.208095709Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 22 |
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{"time":"2026-07-06T03:54:38.92636793Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":12,"events_lines":2}
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| 23 |
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{"time":"2026-07-06T03:54:39.303200064Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 24 |
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{"time":"2026-07-06T03:54:53.926628939Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":14,"events_lines":2}
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| 25 |
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{"time":"2026-07-06T03:54:54.152388183Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 26 |
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{"time":"2026-07-06T03:55:08.926974726Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":0,"history_lines":1,"events_offset":16,"events_lines":2,"console_offset":3,"console_lines":1}
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| 27 |
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{"time":"2026-07-06T03:55:09.16141754Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 28 |
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{"time":"2026-07-06T03:55:23.925766316Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":18,"events_lines":2}
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| 29 |
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{"time":"2026-07-06T03:55:24.267925161Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 30 |
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{"time":"2026-07-06T03:55:38.92661857Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":20,"events_lines":2}
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| 31 |
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{"time":"2026-07-06T03:55:39.216207774Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 32 |
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{"time":"2026-07-06T03:55:53.925968055Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":1,"history_lines":1,"events_offset":22,"events_lines":2,"console_offset":4,"console_lines":1}
|
| 33 |
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{"time":"2026-07-06T03:55:54.161659769Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 34 |
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{"time":"2026-07-06T03:56:08.9267001Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":24,"events_lines":2}
|
| 35 |
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{"time":"2026-07-06T03:56:09.146367254Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 36 |
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{"time":"2026-07-06T03:56:23.926334492Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":2,"history_lines":1,"events_offset":26,"events_lines":2,"console_offset":5,"console_lines":1}
|
| 37 |
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{"time":"2026-07-06T03:56:24.137751213Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 38 |
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{"time":"2026-07-06T03:56:38.926234774Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":28,"events_lines":2}
|
| 39 |
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{"time":"2026-07-06T03:56:39.39710596Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 40 |
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{"time":"2026-07-06T03:56:53.926640329Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":30,"events_lines":2}
|
| 41 |
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{"time":"2026-07-06T03:56:54.144567186Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 42 |
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{"time":"2026-07-06T03:57:08.926968869Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":3,"history_lines":1,"events_offset":32,"events_lines":2,"console_offset":6,"console_lines":1}
|
| 43 |
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{"time":"2026-07-06T03:57:09.182826839Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 44 |
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{"time":"2026-07-06T03:57:23.925969941Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":34,"events_lines":2}
|
| 45 |
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{"time":"2026-07-06T03:57:24.366504934Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 46 |
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{"time":"2026-07-06T03:57:38.926240043Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":36,"events_lines":2}
|
| 47 |
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{"time":"2026-07-06T03:57:39.238940783Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 48 |
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{"time":"2026-07-06T03:57:53.926812318Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":4,"history_lines":1,"events_offset":38,"events_lines":2,"console_offset":7,"console_lines":1}
|
| 49 |
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{"time":"2026-07-06T03:57:54.250692917Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 50 |
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{"time":"2026-07-06T03:58:08.925837566Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":40,"events_lines":2}
|
| 51 |
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{"time":"2026-07-06T03:58:09.274607772Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
epfl_final/SparseAtt/wandb/run-20260706_035252-iv7zo0n3/logs/debug.log
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
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|
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|
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|
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|
| 1 |
+
2026-07-06 03:52:52,862 INFO MainThread:1018 [wandb_setup.py:_flush():81] Current SDK version is 0.28.0
|
| 2 |
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2026-07-06 03:52:52,863 INFO MainThread:1018 [wandb_setup.py:_flush():81] Configure stats pid to 1018
|
| 3 |
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2026-07-06 03:52:52,863 INFO MainThread:1018 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
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2026-07-06 03:52:52,863 INFO MainThread:1018 [wandb_init.py:setup_run_log_directory():725] Logging user logs to /mloscratch/homes/navasard/sparse/SparseAtt/wandb/run-20260706_035252-iv7zo0n3/logs/debug.log
|
| 5 |
+
2026-07-06 03:52:52,863 INFO MainThread:1018 [wandb_init.py:setup_run_log_directory():726] Logging internal logs to /mloscratch/homes/navasard/sparse/SparseAtt/wandb/run-20260706_035252-iv7zo0n3/logs/debug-internal.log
|
| 6 |
+
2026-07-06 03:52:52,863 INFO MainThread:1018 [wandb_init.py:init():768] calling init triggers
|
| 7 |
+
2026-07-06 03:52:52,863 INFO MainThread:1018 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'model_path': '/mloscratch/homes/navasard/qwen3_06b_base', 'model_dtype': 'bfloat16', 'init_from_scratch': True, 'train_path': '/mloscratch/homes/navasard/data/fineweb_large/tokenized', 'val_path': None, 'max_seq_length': 8192, 'num_workers': 8, 'output_dir': '/mloscratch/homes/navasard/sparse/checkpoints/run_20260706_035228', 'resume_from_checkpoint': None, 'force_new_run': True, 'num_epochs': 1, 'max_steps': None, 'per_device_batch_size': 2, 'gradient_accumulation_steps': 15, 'learning_rate': 0.0005, 'weight_decay': 0.01, 'warmup_steps': 750, 'lr_scheduler': 'cosine', 'max_grad_norm': 1.0, 'save_steps': 1000, 'eval_steps': 250, 'eval_batches': 50, 'logging_steps': 10, 'seed': 42, 'verbose': True, 'checkpoint_activations': False, 'strategy': 'ddp', 'mixed_precision': 'bf16', 'wandb_enabled': True, 'wandb_project': 'stochastic_sparsity', 'wandb_name': 'fixed nrb1 diag+1', 'wandb_tags': ['qwen3', '1.2b', 'sparse_stochastic', 'nrb1', 'fixed', 'extreme'], 'hidden_size': 1536, 'intermediate_size': 6144, 'num_attention_heads': 12, 'num_key_value_heads': 4, 'num_hidden_layers': None, 'head_dim': None, 'attention_type': 'sparse_stochastic', 'sparse_block_size': 128, 'sparse_num_random_blocks': 1, 'sparse_mask_pool_size': 1, 'sparse_val_dense_compare': False, 'sparse_layer_indices': None, 'sparse_mask_cache_dir': None, 'dense_mode': False, 'dense_step_intervals': None, '_wandb': {}}
|
| 9 |
+
2026-07-06 03:52:52,863 INFO MainThread:1018 [wandb_init.py:init():816] starting backend
|
| 10 |
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2026-07-06 03:52:52,863 INFO MainThread:1018 [wandb_init.py:init():831] sending inform_init request
|
| 11 |
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2026-07-06 03:52:53,189 INFO MainThread:1018 [wandb_init.py:init():836] backend started and connected
|
| 12 |
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2026-07-06 03:52:53,193 INFO MainThread:1018 [wandb_init.py:init():906] updated telemetry
|
| 13 |
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2026-07-06 03:52:53,213 INFO MainThread:1018 [wandb_init.py:init():929] communicating run to backend with 90.0 second timeout
|
| 14 |
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2026-07-06 03:52:53,714 INFO MainThread:1018 [wandb_init.py:init():974] starting run threads in backend
|
| 15 |
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2026-07-06 03:52:53,917 INFO MainThread:1018 [wandb_run.py:_console_start():2523] atexit reg
|
| 16 |
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2026-07-06 03:52:53,917 INFO MainThread:1018 [wandb_run.py:_redirect():2373] redirect: wrap_raw
|
| 17 |
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2026-07-06 03:52:53,917 INFO MainThread:1018 [wandb_run.py:_redirect():2442] Wrapping output streams.
|
| 18 |
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2026-07-06 03:52:53,917 INFO MainThread:1018 [wandb_run.py:_redirect():2465] Redirects installed.
|
| 19 |
+
2026-07-06 03:52:53,921 INFO MainThread:1018 [wandb_init.py:init():1012] run started, returning control to user process
|
epfl_final/SparseAtt/wandb/run-20260706_035252-iv7zo0n3/run-iv7zo0n3.wandb
ADDED
|
Binary file (65.5 kB). View file
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|
|
epfl_final/SparseAtt/wandb/run-20260706_035257-1pbbmh59/files/output.log
ADDED
|
@@ -0,0 +1,192 @@
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| 1 |
+
Starting training...
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| 2 |
+
Switching attention mode for step 1: sparse_stochastic (configured sparse attention)
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| 3 |
+
Step 10/50462 | Loss: 12.2487 | LR: 6.67e-06 | 7849.5ms/step | 7.6 samples/s
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| 4 |
+
Step 20/50462 | Loss: 12.1281 | LR: 1.33e-05 | 2712.8ms/step | 22.1 samples/s
|
| 5 |
+
Step 30/50462 | Loss: 11.5520 | LR: 2.00e-05 | 2712.9ms/step | 22.1 samples/s
|
| 6 |
+
Step 40/50462 | Loss: 10.4438 | LR: 2.67e-05 | 2707.7ms/step | 22.2 samples/s
|
| 7 |
+
Step 50/50462 | Loss: 9.9194 | LR: 3.33e-05 | 2706.0ms/step | 22.2 samples/s
|
| 8 |
+
Step 60/50462 | Loss: 9.4912 | LR: 4.00e-05 | 2703.6ms/step | 22.2 samples/s
|
| 9 |
+
Step 70/50462 | Loss: 9.0321 | LR: 4.67e-05 | 2704.8ms/step | 22.2 samples/s
|
| 10 |
+
Step 80/50462 | Loss: 8.4877 | LR: 5.33e-05 | 2708.9ms/step | 22.1 samples/s
|
| 11 |
+
Step 90/50462 | Loss: 8.0049 | LR: 6.00e-05 | 2711.8ms/step | 22.1 samples/s
|
| 12 |
+
Step 100/50462 | Loss: 7.6035 | LR: 6.67e-05 | 2712.2ms/step | 22.1 samples/s
|
| 13 |
+
Step 110/50462 | Loss: 7.3411 | LR: 7.33e-05 | 2711.7ms/step | 22.1 samples/s
|
| 14 |
+
Step 120/50462 | Loss: 7.1885 | LR: 8.00e-05 | 2715.8ms/step | 22.1 samples/s
|
| 15 |
+
Step 130/50462 | Loss: 7.0661 | LR: 8.67e-05 | 2718.7ms/step | 22.1 samples/s
|
| 16 |
+
Step 140/50462 | Loss: 6.9361 | LR: 9.33e-05 | 2720.4ms/step | 22.1 samples/s
|
| 17 |
+
Step 150/50462 | Loss: 6.8014 | LR: 1.00e-04 | 2719.8ms/step | 22.1 samples/s
|
| 18 |
+
Step 160/50462 | Loss: 6.6800 | LR: 1.07e-04 | 2720.2ms/step | 22.1 samples/s
|
| 19 |
+
Step 170/50462 | Loss: 6.5537 | LR: 1.13e-04 | 2722.9ms/step | 22.0 samples/s
|
| 20 |
+
Step 180/50462 | Loss: 6.4709 | LR: 1.20e-04 | 2724.4ms/step | 22.0 samples/s
|
| 21 |
+
Step 190/50462 | Loss: 6.3962 | LR: 1.27e-04 | 2723.7ms/step | 22.0 samples/s
|
| 22 |
+
Step 200/50462 | Loss: 6.3103 | LR: 1.33e-04 | 2722.1ms/step | 22.0 samples/s
|
| 23 |
+
Step 210/50462 | Loss: 6.2192 | LR: 1.40e-04 | 2722.3ms/step | 22.0 samples/s
|
| 24 |
+
Step 220/50462 | Loss: 6.1495 | LR: 1.47e-04 | 2721.7ms/step | 22.0 samples/s
|
| 25 |
+
Step 230/50462 | Loss: 6.1285 | LR: 1.53e-04 | 2722.6ms/step | 22.0 samples/s
|
| 26 |
+
Step 240/50462 | Loss: 6.0880 | LR: 1.60e-04 | 2723.4ms/step | 22.0 samples/s
|
| 27 |
+
Step 250/50462 | Loss: 6.0311 | LR: 1.67e-04 | 2723.0ms/step | 22.0 samples/s
|
| 28 |
+
Validation at step 250: Loss = 5.9991, Perplexity = 403.06
|
| 29 |
+
Step 260/50462 | Loss: 5.9490 | LR: 1.73e-04 | 5786.7ms/step | 10.4 samples/s
|
| 30 |
+
Step 270/50462 | Loss: 5.9466 | LR: 1.80e-04 | 2718.8ms/step | 22.1 samples/s
|
| 31 |
+
Step 280/50462 | Loss: 5.8604 | LR: 1.87e-04 | 2722.2ms/step | 22.0 samples/s
|
| 32 |
+
Step 290/50462 | Loss: 5.8283 | LR: 1.93e-04 | 2719.7ms/step | 22.1 samples/s
|
| 33 |
+
Step 300/50462 | Loss: 5.7623 | LR: 2.00e-04 | 2722.4ms/step | 22.0 samples/s
|
| 34 |
+
Step 310/50462 | Loss: 5.7100 | LR: 2.07e-04 | 2726.4ms/step | 22.0 samples/s
|
| 35 |
+
Step 320/50462 | Loss: 5.6344 | LR: 2.13e-04 | 2726.2ms/step | 22.0 samples/s
|
| 36 |
+
Step 330/50462 | Loss: 5.6107 | LR: 2.20e-04 | 2729.6ms/step | 22.0 samples/s
|
| 37 |
+
Step 340/50462 | Loss: 5.5687 | LR: 2.27e-04 | 2728.9ms/step | 22.0 samples/s
|
| 38 |
+
Step 350/50462 | Loss: 5.5140 | LR: 2.33e-04 | 2729.8ms/step | 22.0 samples/s
|
| 39 |
+
Step 360/50462 | Loss: 5.4525 | LR: 2.40e-04 | 2730.0ms/step | 22.0 samples/s
|
| 40 |
+
Step 370/50462 | Loss: 5.4094 | LR: 2.47e-04 | 2730.2ms/step | 22.0 samples/s
|
| 41 |
+
Step 380/50462 | Loss: 5.3872 | LR: 2.53e-04 | 2730.3ms/step | 22.0 samples/s
|
| 42 |
+
Step 390/50462 | Loss: 5.3373 | LR: 2.60e-04 | 2730.0ms/step | 22.0 samples/s
|
| 43 |
+
Step 400/50462 | Loss: 5.2693 | LR: 2.67e-04 | 2731.5ms/step | 22.0 samples/s
|
| 44 |
+
Step 410/50462 | Loss: 5.2467 | LR: 2.73e-04 | 2729.4ms/step | 22.0 samples/s
|
| 45 |
+
Step 420/50462 | Loss: 5.2083 | LR: 2.80e-04 | 2730.9ms/step | 22.0 samples/s
|
| 46 |
+
Step 430/50462 | Loss: 5.1244 | LR: 2.87e-04 | 2731.3ms/step | 22.0 samples/s
|
| 47 |
+
Step 440/50462 | Loss: 5.1650 | LR: 2.93e-04 | 2730.2ms/step | 22.0 samples/s
|
| 48 |
+
Step 450/50462 | Loss: 5.1326 | LR: 3.00e-04 | 2732.6ms/step | 22.0 samples/s
|
| 49 |
+
Step 460/50462 | Loss: 5.0389 | LR: 3.07e-04 | 2730.5ms/step | 22.0 samples/s
|
| 50 |
+
Step 470/50462 | Loss: 5.0087 | LR: 3.13e-04 | 2732.8ms/step | 22.0 samples/s
|
| 51 |
+
Step 480/50462 | Loss: 5.0167 | LR: 3.20e-04 | 2730.7ms/step | 22.0 samples/s
|
| 52 |
+
Step 490/50462 | Loss: 5.0158 | LR: 3.27e-04 | 2731.9ms/step | 22.0 samples/s
|
| 53 |
+
Step 500/50462 | Loss: 4.9535 | LR: 3.33e-04 | 2731.2ms/step | 22.0 samples/s
|
| 54 |
+
Validation at step 500: Loss = 4.8987, Perplexity = 134.11
|
| 55 |
+
Step 510/50462 | Loss: 4.8771 | LR: 3.40e-04 | 4211.5ms/step | 14.2 samples/s
|
| 56 |
+
Step 520/50462 | Loss: 4.8483 | LR: 3.47e-04 | 2732.1ms/step | 22.0 samples/s
|
| 57 |
+
Step 530/50462 | Loss: 4.9048 | LR: 3.53e-04 | 2733.9ms/step | 21.9 samples/s
|
| 58 |
+
Step 540/50462 | Loss: 4.8072 | LR: 3.60e-04 | 2735.6ms/step | 21.9 samples/s
|
| 59 |
+
Step 550/50462 | Loss: 4.7502 | LR: 3.67e-04 | 2843.2ms/step | 21.1 samples/s
|
| 60 |
+
Step 560/50462 | Loss: 4.7328 | LR: 3.73e-04 | 2733.3ms/step | 22.0 samples/s
|
| 61 |
+
Step 570/50462 | Loss: 4.7495 | LR: 3.80e-04 | 2844.7ms/step | 21.1 samples/s
|
| 62 |
+
Step 580/50462 | Loss: 4.6493 | LR: 3.87e-04 | 2736.2ms/step | 21.9 samples/s
|
| 63 |
+
Step 590/50462 | Loss: 4.6332 | LR: 3.93e-04 | 2737.0ms/step | 21.9 samples/s
|
| 64 |
+
Step 600/50462 | Loss: 4.6240 | LR: 4.00e-04 | 2735.6ms/step | 21.9 samples/s
|
| 65 |
+
Step 610/50462 | Loss: 4.5943 | LR: 4.07e-04 | 2736.3ms/step | 21.9 samples/s
|
| 66 |
+
Step 620/50462 | Loss: 4.5894 | LR: 4.13e-04 | 2842.6ms/step | 21.1 samples/s
|
| 67 |
+
Step 630/50462 | Loss: 4.5361 | LR: 4.20e-04 | 2724.5ms/step | 22.0 samples/s
|
| 68 |
+
Step 640/50462 | Loss: 4.5136 | LR: 4.27e-04 | 2729.8ms/step | 22.0 samples/s
|
| 69 |
+
Step 650/50462 | Loss: 4.4822 | LR: 4.33e-04 | 2732.6ms/step | 22.0 samples/s
|
| 70 |
+
Step 660/50462 | Loss: 4.4492 | LR: 4.40e-04 | 2732.5ms/step | 22.0 samples/s
|
| 71 |
+
Step 670/50462 | Loss: 4.4211 | LR: 4.47e-04 | 2731.7ms/step | 22.0 samples/s
|
| 72 |
+
Step 680/50462 | Loss: 4.4125 | LR: 4.53e-04 | 2731.4ms/step | 22.0 samples/s
|
| 73 |
+
Step 690/50462 | Loss: 4.3521 | LR: 4.60e-04 | 2734.3ms/step | 21.9 samples/s
|
| 74 |
+
Step 700/50462 | Loss: 4.3790 | LR: 4.67e-04 | 2733.2ms/step | 22.0 samples/s
|
| 75 |
+
Step 710/50462 | Loss: 4.3428 | LR: 4.73e-04 | 2733.6ms/step | 21.9 samples/s
|
| 76 |
+
Step 720/50462 | Loss: 4.3330 | LR: 4.80e-04 | 2733.0ms/step | 22.0 samples/s
|
| 77 |
+
Step 730/50462 | Loss: 4.2979 | LR: 4.87e-04 | 2733.4ms/step | 22.0 samples/s
|
| 78 |
+
Step 740/50462 | Loss: 4.2526 | LR: 4.93e-04 | 2733.7ms/step | 21.9 samples/s
|
| 79 |
+
Step 750/50462 | Loss: 4.2661 | LR: 5.00e-04 | 2734.8ms/step | 21.9 samples/s
|
| 80 |
+
Validation at step 750: Loss = 4.2387, Perplexity = 69.32
|
| 81 |
+
Step 760/50462 | Loss: 4.2168 | LR: 5.00e-04 | 4204.9ms/step | 14.3 samples/s
|
| 82 |
+
Step 770/50462 | Loss: 4.2507 | LR: 5.00e-04 | 2732.1ms/step | 22.0 samples/s
|
| 83 |
+
Step 780/50462 | Loss: 4.2006 | LR: 5.00e-04 | 2731.7ms/step | 22.0 samples/s
|
| 84 |
+
Step 790/50462 | Loss: 4.1914 | LR: 5.00e-04 | 2734.0ms/step | 21.9 samples/s
|
| 85 |
+
Step 800/50462 | Loss: 4.1470 | LR: 5.00e-04 | 2732.1ms/step | 22.0 samples/s
|
| 86 |
+
Step 810/50462 | Loss: 4.1532 | LR: 5.00e-04 | 2732.8ms/step | 22.0 samples/s
|
| 87 |
+
Step 820/50462 | Loss: 4.1431 | LR: 5.00e-04 | 2731.2ms/step | 22.0 samples/s
|
| 88 |
+
Step 830/50462 | Loss: 4.1267 | LR: 5.00e-04 | 2731.2ms/step | 22.0 samples/s
|
| 89 |
+
Step 840/50462 | Loss: 4.0930 | LR: 5.00e-04 | 2731.3ms/step | 22.0 samples/s
|
| 90 |
+
Step 850/50462 | Loss: 4.0601 | LR: 5.00e-04 | 2730.8ms/step | 22.0 samples/s
|
| 91 |
+
Step 860/50462 | Loss: 4.0583 | LR: 5.00e-04 | 2732.0ms/step | 22.0 samples/s
|
| 92 |
+
Step 870/50462 | Loss: 4.0439 | LR: 5.00e-04 | 2731.0ms/step | 22.0 samples/s
|
| 93 |
+
Step 880/50462 | Loss: 4.0228 | LR: 5.00e-04 | 2729.8ms/step | 22.0 samples/s
|
| 94 |
+
Step 890/50462 | Loss: 4.0190 | LR: 5.00e-04 | 2732.7ms/step | 22.0 samples/s
|
| 95 |
+
Step 900/50462 | Loss: 4.0151 | LR: 5.00e-04 | 2733.5ms/step | 21.9 samples/s
|
| 96 |
+
Step 910/50462 | Loss: 3.9902 | LR: 5.00e-04 | 2731.2ms/step | 22.0 samples/s
|
| 97 |
+
Step 920/50462 | Loss: 3.9476 | LR: 5.00e-04 | 2731.8ms/step | 22.0 samples/s
|
| 98 |
+
Step 930/50462 | Loss: 4.0064 | LR: 5.00e-04 | 2732.4ms/step | 22.0 samples/s
|
| 99 |
+
Step 940/50462 | Loss: 3.9505 | LR: 5.00e-04 | 2731.4ms/step | 22.0 samples/s
|
| 100 |
+
Step 950/50462 | Loss: 3.9353 | LR: 5.00e-04 | 2731.6ms/step | 22.0 samples/s
|
| 101 |
+
Step 960/50462 | Loss: 3.9362 | LR: 5.00e-04 | 2732.2ms/step | 22.0 samples/s
|
| 102 |
+
Step 970/50462 | Loss: 3.9283 | LR: 5.00e-04 | 2732.3ms/step | 22.0 samples/s
|
| 103 |
+
Step 980/50462 | Loss: 3.8905 | LR: 5.00e-04 | 2734.2ms/step | 21.9 samples/s
|
| 104 |
+
Step 990/50462 | Loss: 3.9119 | LR: 5.00e-04 | 2734.7ms/step | 21.9 samples/s
|
| 105 |
+
Step 1000/50462 | Loss: 3.9167 | LR: 5.00e-04 | 2734.8ms/step | 21.9 samples/s
|
| 106 |
+
Validation at step 1000: Loss = 3.9140, Perplexity = 50.10
|
| 107 |
+
Saved checkpoint to /mloscratch/homes/navasard/sparse/checkpoints/run_20260706_035226/checkpoint-1000
|
| 108 |
+
Step 1010/50462 | Loss: 3.8936 | LR: 5.00e-04 | 5118.7ms/step | 11.7 samples/s
|
| 109 |
+
Step 1020/50462 | Loss: 3.9031 | LR: 5.00e-04 | 2727.6ms/step | 22.0 samples/s
|
| 110 |
+
Step 1030/50462 | Loss: 3.8876 | LR: 5.00e-04 | 2730.8ms/step | 22.0 samples/s
|
| 111 |
+
Step 1040/50462 | Loss: 3.8949 | LR: 5.00e-04 | 2735.6ms/step | 21.9 samples/s
|
| 112 |
+
Step 1050/50462 | Loss: 3.8628 | LR: 5.00e-04 | 2825.2ms/step | 21.2 samples/s
|
| 113 |
+
Step 1060/50462 | Loss: 3.8628 | LR: 5.00e-04 | 2723.6ms/step | 22.0 samples/s
|
| 114 |
+
Step 1070/50462 | Loss: 3.8466 | LR: 5.00e-04 | 2825.4ms/step | 21.2 samples/s
|
| 115 |
+
Step 1080/50462 | Loss: 3.8539 | LR: 5.00e-04 | 2729.7ms/step | 22.0 samples/s
|
| 116 |
+
Step 1090/50462 | Loss: 3.8183 | LR: 5.00e-04 | 2732.7ms/step | 22.0 samples/s
|
| 117 |
+
Step 1100/50462 | Loss: 3.8414 | LR: 5.00e-04 | 2732.3ms/step | 22.0 samples/s
|
| 118 |
+
Step 1110/50462 | Loss: 3.8495 | LR: 5.00e-04 | 2733.0ms/step | 22.0 samples/s
|
| 119 |
+
Step 1120/50462 | Loss: 3.8048 | LR: 5.00e-04 | 2735.2ms/step | 21.9 samples/s
|
| 120 |
+
Step 1130/50462 | Loss: 3.8228 | LR: 5.00e-04 | 2826.8ms/step | 21.2 samples/s
|
| 121 |
+
Step 1140/50462 | Loss: 3.7977 | LR: 5.00e-04 | 2728.3ms/step | 22.0 samples/s
|
| 122 |
+
Step 1150/50462 | Loss: 3.7653 | LR: 5.00e-04 | 2731.6ms/step | 22.0 samples/s
|
| 123 |
+
Step 1160/50462 | Loss: 3.7864 | LR: 5.00e-04 | 2732.5ms/step | 22.0 samples/s
|
| 124 |
+
Step 1170/50462 | Loss: 3.7751 | LR: 5.00e-04 | 2734.0ms/step | 21.9 samples/s
|
| 125 |
+
Step 1180/50462 | Loss: 3.7397 | LR: 5.00e-04 | 2732.2ms/step | 22.0 samples/s
|
| 126 |
+
Step 1190/50462 | Loss: 3.7687 | LR: 5.00e-04 | 2731.8ms/step | 22.0 samples/s
|
| 127 |
+
Step 1200/50462 | Loss: 3.7776 | LR: 5.00e-04 | 2732.4ms/step | 22.0 samples/s
|
| 128 |
+
Step 1210/50462 | Loss: 3.7841 | LR: 5.00e-04 | 2734.3ms/step | 21.9 samples/s
|
| 129 |
+
Step 1220/50462 | Loss: 3.7423 | LR: 5.00e-04 | 2733.6ms/step | 21.9 samples/s
|
| 130 |
+
Step 1230/50462 | Loss: 3.7118 | LR: 5.00e-04 | 2733.1ms/step | 22.0 samples/s
|
| 131 |
+
Step 1240/50462 | Loss: 3.7669 | LR: 5.00e-04 | 2731.8ms/step | 22.0 samples/s
|
| 132 |
+
Step 1250/50462 | Loss: 3.7293 | LR: 5.00e-04 | 2734.4ms/step | 21.9 samples/s
|
| 133 |
+
Validation at step 1250: Loss = 3.7439, Perplexity = 42.26
|
| 134 |
+
Step 1260/50462 | Loss: 3.7533 | LR: 5.00e-04 | 4210.8ms/step | 14.2 samples/s
|
| 135 |
+
Step 1270/50462 | Loss: 3.7187 | LR: 5.00e-04 | 2734.1ms/step | 21.9 samples/s
|
| 136 |
+
Step 1280/50462 | Loss: 3.7036 | LR: 5.00e-04 | 2735.7ms/step | 21.9 samples/s
|
| 137 |
+
Step 1290/50462 | Loss: 3.7054 | LR: 5.00e-04 | 2734.4ms/step | 21.9 samples/s
|
| 138 |
+
Step 1300/50462 | Loss: 3.6988 | LR: 5.00e-04 | 2734.4ms/step | 21.9 samples/s
|
| 139 |
+
Step 1310/50462 | Loss: 3.7031 | LR: 5.00e-04 | 2733.2ms/step | 22.0 samples/s
|
| 140 |
+
Step 1320/50462 | Loss: 3.6987 | LR: 5.00e-04 | 2733.7ms/step | 21.9 samples/s
|
| 141 |
+
Step 1330/50462 | Loss: 3.6963 | LR: 5.00e-04 | 2728.7ms/step | 22.0 samples/s
|
| 142 |
+
Step 1340/50462 | Loss: 3.6819 | LR: 5.00e-04 | 2727.2ms/step | 22.0 samples/s
|
| 143 |
+
Step 1350/50462 | Loss: 3.6646 | LR: 5.00e-04 | 2730.2ms/step | 22.0 samples/s
|
| 144 |
+
Step 1360/50462 | Loss: 3.6852 | LR: 5.00e-04 | 2731.3ms/step | 22.0 samples/s
|
| 145 |
+
Step 1370/50462 | Loss: 3.6627 | LR: 5.00e-04 | 2732.5ms/step | 22.0 samples/s
|
| 146 |
+
Step 1380/50462 | Loss: 3.6991 | LR: 5.00e-04 | 2733.8ms/step | 21.9 samples/s
|
| 147 |
+
Step 1390/50462 | Loss: 3.6855 | LR: 5.00e-04 | 2732.2ms/step | 22.0 samples/s
|
| 148 |
+
Step 1400/50462 | Loss: 3.6452 | LR: 5.00e-04 | 2730.6ms/step | 22.0 samples/s
|
| 149 |
+
Step 1410/50462 | Loss: 3.6715 | LR: 5.00e-04 | 2732.2ms/step | 22.0 samples/s
|
| 150 |
+
Step 1420/50462 | Loss: 3.6436 | LR: 5.00e-04 | 2732.0ms/step | 22.0 samples/s
|
| 151 |
+
Step 1430/50462 | Loss: 3.6269 | LR: 5.00e-04 | 2734.1ms/step | 21.9 samples/s
|
| 152 |
+
Step 1440/50462 | Loss: 3.6598 | LR: 5.00e-04 | 2733.6ms/step | 21.9 samples/s
|
| 153 |
+
Step 1450/50462 | Loss: 3.6290 | LR: 5.00e-04 | 2732.4ms/step | 22.0 samples/s
|
| 154 |
+
Step 1460/50462 | Loss: 3.6302 | LR: 5.00e-04 | 2732.5ms/step | 22.0 samples/s
|
| 155 |
+
Step 1470/50462 | Loss: 3.6116 | LR: 5.00e-04 | 2734.3ms/step | 21.9 samples/s
|
| 156 |
+
Step 1480/50462 | Loss: 3.6510 | LR: 5.00e-04 | 2732.8ms/step | 22.0 samples/s
|
| 157 |
+
Step 1490/50462 | Loss: 3.6315 | LR: 5.00e-04 | 2733.5ms/step | 22.0 samples/s
|
| 158 |
+
Step 1500/50462 | Loss: 3.5970 | LR: 5.00e-04 | 2733.9ms/step | 21.9 samples/s
|
| 159 |
+
Validation at step 1500: Loss = 3.6397, Perplexity = 38.08
|
| 160 |
+
Step 1510/50462 | Loss: 3.6399 | LR: 5.00e-04 | 4209.6ms/step | 14.3 samples/s
|
| 161 |
+
Step 1520/50462 | Loss: 3.6057 | LR: 5.00e-04 | 2736.5ms/step | 21.9 samples/s
|
| 162 |
+
Step 1530/50462 | Loss: 3.6327 | LR: 5.00e-04 | 2735.3ms/step | 21.9 samples/s
|
| 163 |
+
Step 1540/50462 | Loss: 3.5982 | LR: 5.00e-04 | 2737.0ms/step | 21.9 samples/s
|
| 164 |
+
Step 1550/50462 | Loss: 3.6094 | LR: 5.00e-04 | 2736.3ms/step | 21.9 samples/s
|
| 165 |
+
Step 1560/50462 | Loss: 3.5990 | LR: 5.00e-04 | 2829.2ms/step | 21.2 samples/s
|
| 166 |
+
Step 1570/50462 | Loss: 3.6280 | LR: 5.00e-04 | 2730.5ms/step | 22.0 samples/s
|
| 167 |
+
Step 1580/50462 | Loss: 3.5972 | LR: 5.00e-04 | 2830.5ms/step | 21.2 samples/s
|
| 168 |
+
Step 1590/50462 | Loss: 3.6143 | LR: 5.00e-04 | 2733.4ms/step | 22.0 samples/s
|
| 169 |
+
Step 1600/50462 | Loss: 3.6102 | LR: 5.00e-04 | 2734.5ms/step | 21.9 samples/s
|
| 170 |
+
Step 1610/50462 | Loss: 3.5729 | LR: 5.00e-04 | 2735.7ms/step | 21.9 samples/s
|
| 171 |
+
Step 1620/50462 | Loss: 3.5985 | LR: 5.00e-04 | 2735.9ms/step | 21.9 samples/s
|
| 172 |
+
Step 1630/50462 | Loss: 3.6093 | LR: 5.00e-04 | 2735.9ms/step | 21.9 samples/s
|
| 173 |
+
Step 1640/50462 | Loss: 3.5807 | LR: 5.00e-04 | 2826.7ms/step | 21.2 samples/s
|
| 174 |
+
Step 1650/50462 | Loss: 3.5394 | LR: 5.00e-04 | 2731.7ms/step | 22.0 samples/s
|
| 175 |
+
Step 1660/50462 | Loss: 3.5663 | LR: 5.00e-04 | 2734.0ms/step | 21.9 samples/s
|
| 176 |
+
Step 1670/50462 | Loss: 3.5889 | LR: 5.00e-04 | 2735.1ms/step | 21.9 samples/s
|
| 177 |
+
Step 1680/50462 | Loss: 3.5619 | LR: 5.00e-04 | 2736.3ms/step | 21.9 samples/s
|
| 178 |
+
Step 1690/50462 | Loss: 3.5610 | LR: 5.00e-04 | 2735.0ms/step | 21.9 samples/s
|
| 179 |
+
Step 1700/50462 | Loss: 3.5697 | LR: 5.00e-04 | 2735.8ms/step | 21.9 samples/s
|
| 180 |
+
Step 1710/50462 | Loss: 3.5828 | LR: 5.00e-04 | 2733.7ms/step | 21.9 samples/s
|
| 181 |
+
Step 1720/50462 | Loss: 3.5525 | LR: 5.00e-04 | 2733.5ms/step | 21.9 samples/s
|
| 182 |
+
Step 1730/50462 | Loss: 3.5511 | LR: 5.00e-04 | 2735.4ms/step | 21.9 samples/s
|
| 183 |
+
Step 1740/50462 | Loss: 3.5757 | LR: 5.00e-04 | 2733.7ms/step | 21.9 samples/s
|
| 184 |
+
Step 1750/50462 | Loss: 3.5921 | LR: 5.00e-04 | 2734.3ms/step | 21.9 samples/s
|
| 185 |
+
Validation at step 1750: Loss = 3.5618, Perplexity = 35.23
|
| 186 |
+
Step 1760/50462 | Loss: 3.5675 | LR: 4.99e-04 | 4209.5ms/step | 14.3 samples/s
|
| 187 |
+
Step 1770/50462 | Loss: 3.5524 | LR: 4.99e-04 | 2733.5ms/step | 21.9 samples/s
|
| 188 |
+
Step 1780/50462 | Loss: 3.5203 | LR: 4.99e-04 | 2732.2ms/step | 22.0 samples/s
|
| 189 |
+
Step 1790/50462 | Loss: 3.5273 | LR: 4.99e-04 | 2734.6ms/step | 21.9 samples/s
|
| 190 |
+
Step 1800/50462 | Loss: 3.5169 | LR: 4.99e-04 | 2734.1ms/step | 21.9 samples/s
|
| 191 |
+
Step 1810/50462 | Loss: 3.5356 | LR: 4.99e-04 | 2734.7ms/step | 21.9 samples/s
|
| 192 |
+
Step 1820/50462 | Loss: 3.5181 | LR: 4.99e-04 | 2732.2ms/step | 22.0 samples/s
|
epfl_final/SparseAtt/wandb/run-20260706_035257-1pbbmh59/files/requirements.txt
ADDED
|
@@ -0,0 +1,122 @@
|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
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|
|
|
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|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
word2number==1.1
|
| 2 |
+
sqlitedict==2.1.0
|
| 3 |
+
pytz==2026.2
|
| 4 |
+
nvidia-cusparselt-cu13==0.8.1
|
| 5 |
+
mpmath==1.3.0
|
| 6 |
+
cuda-toolkit==13.0.2
|
| 7 |
+
zstandard==0.25.0
|
| 8 |
+
xxhash==3.8.0
|
| 9 |
+
urllib3==2.7.0
|
| 10 |
+
tzdata==2026.2
|
| 11 |
+
typing_extensions==4.16.0
|
| 12 |
+
triton==3.7.1
|
| 13 |
+
tqdm==4.68.3
|
| 14 |
+
torchinfo==1.8.0
|
| 15 |
+
threadpoolctl==3.6.0
|
| 16 |
+
tcolorpy==0.1.7
|
| 17 |
+
tabulate==0.10.0
|
| 18 |
+
sympy==1.14.0
|
| 19 |
+
smmap==5.0.3
|
| 20 |
+
six==1.17.0
|
| 21 |
+
shellingham==1.5.4
|
| 22 |
+
safetensors==0.8.0
|
| 23 |
+
regex==2026.6.28
|
| 24 |
+
PyYAML==6.0.3
|
| 25 |
+
Pygments==2.20.0
|
| 26 |
+
pyarrow==24.0.0
|
| 27 |
+
psutil==7.2.2
|
| 28 |
+
protobuf==7.35.1
|
| 29 |
+
propcache==0.5.2
|
| 30 |
+
portalocker==3.2.0
|
| 31 |
+
platformdirs==4.10.0
|
| 32 |
+
pathvalidate==3.3.1
|
| 33 |
+
packaging==26.2
|
| 34 |
+
nvidia-nvtx==13.0.85
|
| 35 |
+
nvidia-nvshmem-cu13==3.4.5
|
| 36 |
+
nvidia-nvjitlink==13.0.88
|
| 37 |
+
nvidia-nccl-cu13==2.29.7
|
| 38 |
+
nvidia-curand==10.4.0.35
|
| 39 |
+
nvidia-cufile==1.15.1.6
|
| 40 |
+
nvidia-cuda-runtime==13.0.96
|
| 41 |
+
nvidia-cuda-nvrtc==13.0.88
|
| 42 |
+
nvidia-cuda-cupti==13.0.85
|
| 43 |
+
numpy==2.2.6
|
| 44 |
+
networkx==3.4.2
|
| 45 |
+
more-itertools==11.1.0
|
| 46 |
+
mdurl==0.1.2
|
| 47 |
+
MarkupSafe==3.0.3
|
| 48 |
+
lxml==6.1.1
|
| 49 |
+
joblib==1.5.3
|
| 50 |
+
idna==3.18
|
| 51 |
+
hf-xet==1.5.1
|
| 52 |
+
h11==0.16.0
|
| 53 |
+
fsspec==2026.4.0
|
| 54 |
+
frozenlist==1.8.0
|
| 55 |
+
filelock==3.29.5
|
| 56 |
+
dill==0.4.1
|
| 57 |
+
cuda-pathfinder==1.5.6
|
| 58 |
+
colorama==0.4.6
|
| 59 |
+
click==8.4.2
|
| 60 |
+
charset-normalizer==3.4.7
|
| 61 |
+
chardet==6.0.0.post1
|
| 62 |
+
certifi==2026.6.17
|
| 63 |
+
attrs==26.1.0
|
| 64 |
+
async-timeout==5.0.1
|
| 65 |
+
annotated-types==0.7.0
|
| 66 |
+
annotated-doc==0.0.4
|
| 67 |
+
aiohappyeyeballs==2.7.1
|
| 68 |
+
absl-py==2.5.0
|
| 69 |
+
typing-inspection==0.4.2
|
| 70 |
+
sentry-sdk==2.64.0
|
| 71 |
+
scipy==1.15.3
|
| 72 |
+
sacrebleu==2.6.0
|
| 73 |
+
requests==2.34.2
|
| 74 |
+
python-dateutil==2.9.0.post0
|
| 75 |
+
pydantic_core==2.46.4
|
| 76 |
+
nvidia-cusparse==12.6.3.3
|
| 77 |
+
nvidia-cufft==12.0.0.61
|
| 78 |
+
nvidia-cublas==13.1.1.3
|
| 79 |
+
nltk==3.9.4
|
| 80 |
+
multiprocess==0.70.19
|
| 81 |
+
multidict==6.7.1
|
| 82 |
+
mbstrdecoder==1.1.5
|
| 83 |
+
markdown-it-py==4.2.0
|
| 84 |
+
Jinja2==3.1.6
|
| 85 |
+
httpcore==1.0.9
|
| 86 |
+
gitdb==4.0.12
|
| 87 |
+
exceptiongroup==1.3.1
|
| 88 |
+
cuda-bindings==13.3.1
|
| 89 |
+
aiosignal==1.4.0
|
| 90 |
+
yarl==1.24.2
|
| 91 |
+
typepy==1.3.5
|
| 92 |
+
scikit-learn==1.7.2
|
| 93 |
+
rouge-score==0.1.2
|
| 94 |
+
rich==15.0.0
|
| 95 |
+
pydantic==2.13.4
|
| 96 |
+
pandas==2.3.3
|
| 97 |
+
nvidia-cusolver==12.0.4.66
|
| 98 |
+
nvidia-cudnn-cu13==9.20.0.48
|
| 99 |
+
GitPython==3.1.50
|
| 100 |
+
anyio==4.14.1
|
| 101 |
+
wandb==0.28.0
|
| 102 |
+
typer==0.26.8
|
| 103 |
+
httpx==0.28.1
|
| 104 |
+
aiohttp==3.14.1
|
| 105 |
+
torch==2.12.1
|
| 106 |
+
huggingface_hub==1.22.0
|
| 107 |
+
DataProperty==1.1.1
|
| 108 |
+
tokenizers==0.22.2
|
| 109 |
+
tabledata==1.3.5
|
| 110 |
+
datasets==5.0.0
|
| 111 |
+
accelerate==1.14.0
|
| 112 |
+
transformers==5.13.0
|
| 113 |
+
pytablewriter==1.2.1
|
| 114 |
+
evaluate==0.4.6
|
| 115 |
+
lm_eval==0.4.12
|
| 116 |
+
PyGObject==3.42.1
|
| 117 |
+
dbus-python==1.2.18
|
| 118 |
+
distro==1.7.0
|
| 119 |
+
pip==22.0.2
|
| 120 |
+
setuptools==59.6.0
|
| 121 |
+
ssh-import-id==5.11
|
| 122 |
+
wheel==0.37.1
|
epfl_final/SparseAtt/wandb/run-20260706_035257-1pbbmh59/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-124-generic-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.10.12",
|
| 4 |
+
"startedAt": "2026-07-06T03:52:57.899185Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"--config",
|
| 7 |
+
"configs/train_config_resampled_nrb1.json"
|
| 8 |
+
],
|
| 9 |
+
"program": "/mloscratch/homes/navasard/sparse/SparseAtt/train.py",
|
| 10 |
+
"codePath": "train.py",
|
| 11 |
+
"codePathLocal": "train.py",
|
| 12 |
+
"git": {
|
| 13 |
+
"remote": "https://github.com/rubentium/TokenPrune.git",
|
| 14 |
+
"commit": "88298c7a418622530ca5426b22b1e5ebd10ca0cb"
|
| 15 |
+
},
|
| 16 |
+
"email": "ruben.navasardyan@mail.utoronto.ca",
|
| 17 |
+
"root": "/mloscratch/homes/navasard/sparse/SparseAtt",
|
| 18 |
+
"host": "h100-train-3-gpu-2-0-0",
|
| 19 |
+
"executable": "/usr/bin/python3",
|
| 20 |
+
"cpu_count": 96,
|
| 21 |
+
"cpu_count_logical": 192,
|
| 22 |
+
"gpu": "NVIDIA H100 80GB HBM3",
|
| 23 |
+
"gpu_count": 3,
|
| 24 |
+
"disk": {
|
| 25 |
+
"/": {
|
| 26 |
+
"total": "9374931091456",
|
| 27 |
+
"used": "4694682685440"
|
| 28 |
+
}
|
| 29 |
+
},
|
| 30 |
+
"memory": {
|
| 31 |
+
"total": "1623005732864"
|
| 32 |
+
},
|
| 33 |
+
"gpu_nvidia": [
|
| 34 |
+
{
|
| 35 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 36 |
+
"memoryTotal": "85520809984",
|
| 37 |
+
"cudaCores": 16896,
|
| 38 |
+
"architecture": "Hopper",
|
| 39 |
+
"uuid": "GPU-e3358200-f776-7214-8269-c2c219f03c2e"
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 43 |
+
"memoryTotal": "85520809984",
|
| 44 |
+
"cudaCores": 16896,
|
| 45 |
+
"architecture": "Hopper",
|
| 46 |
+
"uuid": "GPU-788fbe73-59b3-e845-80c4-5eff0b2f64b5"
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 50 |
+
"memoryTotal": "85520809984",
|
| 51 |
+
"cudaCores": 16896,
|
| 52 |
+
"architecture": "Hopper",
|
| 53 |
+
"uuid": "GPU-123c77ea-9377-5bde-70b6-99ef1c791ff4"
|
| 54 |
+
}
|
| 55 |
+
],
|
| 56 |
+
"cudaVersion": "13.0",
|
| 57 |
+
"writerId": "godiaybeyi3drs1sznxvd9ue00ko24bc"
|
| 58 |
+
}
|
epfl_final/SparseAtt/wandb/run-20260706_035257-1pbbmh59/logs/debug-internal.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
epfl_final/SparseAtt/wandb/run-20260706_035257-1pbbmh59/logs/debug.log
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2026-07-06 03:52:57,921 INFO MainThread:1294 [wandb_setup.py:_flush():81] Current SDK version is 0.28.0
|
| 2 |
+
2026-07-06 03:52:57,921 INFO MainThread:1294 [wandb_setup.py:_flush():81] Configure stats pid to 1294
|
| 3 |
+
2026-07-06 03:52:57,921 INFO MainThread:1294 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
+
2026-07-06 03:52:57,921 INFO MainThread:1294 [wandb_init.py:setup_run_log_directory():725] Logging user logs to /mloscratch/homes/navasard/sparse/SparseAtt/wandb/run-20260706_035257-1pbbmh59/logs/debug.log
|
| 5 |
+
2026-07-06 03:52:57,921 INFO MainThread:1294 [wandb_init.py:setup_run_log_directory():726] Logging internal logs to /mloscratch/homes/navasard/sparse/SparseAtt/wandb/run-20260706_035257-1pbbmh59/logs/debug-internal.log
|
| 6 |
+
2026-07-06 03:52:57,921 INFO MainThread:1294 [wandb_init.py:init():768] calling init triggers
|
| 7 |
+
2026-07-06 03:52:57,921 INFO MainThread:1294 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'model_path': '/mloscratch/homes/navasard/qwen3_06b_base', 'model_dtype': 'bfloat16', 'init_from_scratch': True, 'train_path': '/mloscratch/homes/navasard/data/fineweb_large/tokenized', 'val_path': None, 'max_seq_length': 8192, 'num_workers': 8, 'output_dir': '/mloscratch/homes/navasard/sparse/checkpoints/run_20260706_035226', 'resume_from_checkpoint': None, 'force_new_run': True, 'num_epochs': 1, 'max_steps': None, 'per_device_batch_size': 2, 'gradient_accumulation_steps': 10, 'learning_rate': 0.0005, 'weight_decay': 0.01, 'warmup_steps': 750, 'lr_scheduler': 'cosine', 'max_grad_norm': 1.0, 'save_steps': 1000, 'eval_steps': 250, 'eval_batches': 50, 'logging_steps': 10, 'seed': 42, 'verbose': True, 'checkpoint_activations': False, 'strategy': 'ddp', 'mixed_precision': 'bf16', 'wandb_enabled': True, 'wandb_project': 'stochastic_sparsity', 'wandb_name': 'resampled nrb1 diag+1', 'wandb_tags': ['qwen3', '1.2b', 'sparse_stochastic', 'nrb1', 'resampled', 'extreme'], 'hidden_size': 1536, 'intermediate_size': 6144, 'num_attention_heads': 12, 'num_key_value_heads': 4, 'num_hidden_layers': None, 'head_dim': None, 'attention_type': 'sparse_stochastic', 'sparse_block_size': 128, 'sparse_num_random_blocks': 1, 'sparse_mask_pool_size': 1000, 'sparse_val_dense_compare': False, 'sparse_layer_indices': None, 'sparse_mask_cache_dir': '/mloscratch/homes/navasard/sparse/mask_cache_nrb1', 'dense_mode': False, 'dense_step_intervals': None, '_wandb': {}}
|
| 9 |
+
2026-07-06 03:52:57,921 INFO MainThread:1294 [wandb_init.py:init():816] starting backend
|
| 10 |
+
2026-07-06 03:52:57,921 INFO MainThread:1294 [wandb_init.py:init():831] sending inform_init request
|
| 11 |
+
2026-07-06 03:52:58,220 INFO MainThread:1294 [wandb_init.py:init():836] backend started and connected
|
| 12 |
+
2026-07-06 03:52:58,223 INFO MainThread:1294 [wandb_init.py:init():906] updated telemetry
|
| 13 |
+
2026-07-06 03:52:58,241 INFO MainThread:1294 [wandb_init.py:init():929] communicating run to backend with 90.0 second timeout
|
| 14 |
+
2026-07-06 03:52:58,675 INFO MainThread:1294 [wandb_init.py:init():974] starting run threads in backend
|
| 15 |
+
2026-07-06 03:52:58,885 INFO MainThread:1294 [wandb_run.py:_console_start():2523] atexit reg
|
| 16 |
+
2026-07-06 03:52:58,885 INFO MainThread:1294 [wandb_run.py:_redirect():2373] redirect: wrap_raw
|
| 17 |
+
2026-07-06 03:52:58,885 INFO MainThread:1294 [wandb_run.py:_redirect():2442] Wrapping output streams.
|
| 18 |
+
2026-07-06 03:52:58,885 INFO MainThread:1294 [wandb_run.py:_redirect():2465] Redirects installed.
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| 19 |
+
2026-07-06 03:52:58,889 INFO MainThread:1294 [wandb_init.py:init():1012] run started, returning control to user process
|
epfl_final/SparseAtt/wandb/run-20260706_035257-1pbbmh59/run-1pbbmh59.wandb
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:18d9789fc2263a3ae5ca92b9b45f9bc92dfdb960771de9162ce2f5da75874ee9
|
| 3 |
+
size 1474560
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epfl_final/SparseAtt/wandb/run-20260706_040451-i83whqph/files/output.log
ADDED
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@@ -0,0 +1,167 @@
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|
| 1 |
+
Starting training...
|
| 2 |
+
Switching attention mode for step 1: sparse_stochastic (configured sparse attention)
|
| 3 |
+
Step 10/50462 | Loss: 12.2484 | LR: 6.67e-06 | 7527.4ms/step | 8.0 samples/s
|
| 4 |
+
Step 20/50462 | Loss: 12.1240 | LR: 1.33e-05 | 2683.0ms/step | 22.4 samples/s
|
| 5 |
+
Step 30/50462 | Loss: 11.5407 | LR: 2.00e-05 | 2682.9ms/step | 22.4 samples/s
|
| 6 |
+
Step 40/50462 | Loss: 10.4363 | LR: 2.67e-05 | 2681.6ms/step | 22.4 samples/s
|
| 7 |
+
Step 50/50462 | Loss: 9.9149 | LR: 3.33e-05 | 2679.8ms/step | 22.4 samples/s
|
| 8 |
+
Step 60/50462 | Loss: 9.4867 | LR: 4.00e-05 | 2679.1ms/step | 22.4 samples/s
|
| 9 |
+
Step 70/50462 | Loss: 9.0238 | LR: 4.67e-05 | 2743.8ms/step | 21.9 samples/s
|
| 10 |
+
Step 80/50462 | Loss: 8.4818 | LR: 5.33e-05 | 2675.4ms/step | 22.4 samples/s
|
| 11 |
+
Step 90/50462 | Loss: 7.9989 | LR: 6.00e-05 | 2681.4ms/step | 22.4 samples/s
|
| 12 |
+
Step 100/50462 | Loss: 7.5997 | LR: 6.67e-05 | 2682.5ms/step | 22.4 samples/s
|
| 13 |
+
Step 110/50462 | Loss: 7.3385 | LR: 7.33e-05 | 2687.3ms/step | 22.3 samples/s
|
| 14 |
+
Step 120/50462 | Loss: 7.1860 | LR: 8.00e-05 | 2690.4ms/step | 22.3 samples/s
|
| 15 |
+
Step 130/50462 | Loss: 7.0646 | LR: 8.67e-05 | 2692.3ms/step | 22.3 samples/s
|
| 16 |
+
Step 140/50462 | Loss: 6.9363 | LR: 9.33e-05 | 2695.4ms/step | 22.3 samples/s
|
| 17 |
+
Step 150/50462 | Loss: 6.8000 | LR: 1.00e-04 | 2694.6ms/step | 22.3 samples/s
|
| 18 |
+
Step 160/50462 | Loss: 6.6806 | LR: 1.07e-04 | 2696.4ms/step | 22.3 samples/s
|
| 19 |
+
Step 170/50462 | Loss: 6.5531 | LR: 1.13e-04 | 2696.5ms/step | 22.3 samples/s
|
| 20 |
+
Step 180/50462 | Loss: 6.4830 | LR: 1.20e-04 | 2699.6ms/step | 22.2 samples/s
|
| 21 |
+
Step 190/50462 | Loss: 6.4046 | LR: 1.27e-04 | 2698.2ms/step | 22.2 samples/s
|
| 22 |
+
Step 200/50462 | Loss: 6.3157 | LR: 1.33e-04 | 2700.1ms/step | 22.2 samples/s
|
| 23 |
+
Step 210/50462 | Loss: 6.2217 | LR: 1.40e-04 | 2699.9ms/step | 22.2 samples/s
|
| 24 |
+
Step 220/50462 | Loss: 6.1521 | LR: 1.47e-04 | 2700.2ms/step | 22.2 samples/s
|
| 25 |
+
Step 230/50462 | Loss: 6.1420 | LR: 1.53e-04 | 2698.8ms/step | 22.2 samples/s
|
| 26 |
+
Step 240/50462 | Loss: 6.0774 | LR: 1.60e-04 | 2698.4ms/step | 22.2 samples/s
|
| 27 |
+
Step 250/50462 | Loss: 6.0141 | LR: 1.67e-04 | 2701.0ms/step | 22.2 samples/s
|
| 28 |
+
Validation at step 250: Loss = 5.9621, Perplexity = 388.41
|
| 29 |
+
Step 260/50462 | Loss: 5.9378 | LR: 1.73e-04 | 6740.0ms/step | 8.9 samples/s
|
| 30 |
+
Step 270/50462 | Loss: 5.9469 | LR: 1.80e-04 | 2689.4ms/step | 22.3 samples/s
|
| 31 |
+
Step 280/50462 | Loss: 5.8680 | LR: 1.87e-04 | 2697.2ms/step | 22.2 samples/s
|
| 32 |
+
Step 290/50462 | Loss: 5.8074 | LR: 1.93e-04 | 2700.4ms/step | 22.2 samples/s
|
| 33 |
+
Step 300/50462 | Loss: 5.7335 | LR: 2.00e-04 | 2701.3ms/step | 22.2 samples/s
|
| 34 |
+
Step 310/50462 | Loss: 5.6945 | LR: 2.07e-04 | 2703.0ms/step | 22.2 samples/s
|
| 35 |
+
Step 320/50462 | Loss: 5.6354 | LR: 2.13e-04 | 2703.4ms/step | 22.2 samples/s
|
| 36 |
+
Step 330/50462 | Loss: 5.6109 | LR: 2.20e-04 | 2702.0ms/step | 22.2 samples/s
|
| 37 |
+
Step 340/50462 | Loss: 5.5531 | LR: 2.27e-04 | 2698.8ms/step | 22.2 samples/s
|
| 38 |
+
Step 350/50462 | Loss: 5.5068 | LR: 2.33e-04 | 2698.5ms/step | 22.2 samples/s
|
| 39 |
+
Step 360/50462 | Loss: 5.4480 | LR: 2.40e-04 | 2702.7ms/step | 22.2 samples/s
|
| 40 |
+
Step 370/50462 | Loss: 5.3898 | LR: 2.47e-04 | 2703.0ms/step | 22.2 samples/s
|
| 41 |
+
Step 380/50462 | Loss: 5.3795 | LR: 2.53e-04 | 2706.3ms/step | 22.2 samples/s
|
| 42 |
+
Step 390/50462 | Loss: 5.3246 | LR: 2.60e-04 | 2702.8ms/step | 22.2 samples/s
|
| 43 |
+
Step 400/50462 | Loss: 5.2640 | LR: 2.67e-04 | 2702.4ms/step | 22.2 samples/s
|
| 44 |
+
Step 410/50462 | Loss: 5.2326 | LR: 2.73e-04 | 2705.3ms/step | 22.2 samples/s
|
| 45 |
+
Step 420/50462 | Loss: 5.2115 | LR: 2.80e-04 | 2702.7ms/step | 22.2 samples/s
|
| 46 |
+
Step 430/50462 | Loss: 5.1535 | LR: 2.87e-04 | 2702.3ms/step | 22.2 samples/s
|
| 47 |
+
Step 440/50462 | Loss: 5.1121 | LR: 2.93e-04 | 2701.3ms/step | 22.2 samples/s
|
| 48 |
+
Step 450/50462 | Loss: 5.0737 | LR: 3.00e-04 | 2700.4ms/step | 22.2 samples/s
|
| 49 |
+
Step 460/50462 | Loss: 5.0504 | LR: 3.07e-04 | 2768.2ms/step | 21.7 samples/s
|
| 50 |
+
Step 470/50462 | Loss: 5.0068 | LR: 3.13e-04 | 2698.1ms/step | 22.2 samples/s
|
| 51 |
+
Step 480/50462 | Loss: 4.9795 | LR: 3.20e-04 | 2701.8ms/step | 22.2 samples/s
|
| 52 |
+
Step 490/50462 | Loss: 4.9861 | LR: 3.27e-04 | 2702.4ms/step | 22.2 samples/s
|
| 53 |
+
Step 500/50462 | Loss: 4.9464 | LR: 3.33e-04 | 2700.1ms/step | 22.2 samples/s
|
| 54 |
+
Validation at step 500: Loss = 4.8870, Perplexity = 132.56
|
| 55 |
+
Step 510/50462 | Loss: 4.8661 | LR: 3.40e-04 | 4150.5ms/step | 14.5 samples/s
|
| 56 |
+
Step 520/50462 | Loss: 4.8597 | LR: 3.47e-04 | 2699.1ms/step | 22.2 samples/s
|
| 57 |
+
Step 530/50462 | Loss: 4.8921 | LR: 3.53e-04 | 2766.5ms/step | 21.7 samples/s
|
| 58 |
+
Step 540/50462 | Loss: 4.7909 | LR: 3.60e-04 | 2703.6ms/step | 22.2 samples/s
|
| 59 |
+
Step 550/50462 | Loss: 4.7424 | LR: 3.67e-04 | 2770.0ms/step | 21.7 samples/s
|
| 60 |
+
Step 560/50462 | Loss: 4.7633 | LR: 3.73e-04 | 2704.4ms/step | 22.2 samples/s
|
| 61 |
+
Step 570/50462 | Loss: 4.7767 | LR: 3.80e-04 | 2703.8ms/step | 22.2 samples/s
|
| 62 |
+
Step 580/50462 | Loss: 4.6568 | LR: 3.87e-04 | 2703.5ms/step | 22.2 samples/s
|
| 63 |
+
Step 590/50462 | Loss: 4.6375 | LR: 3.93e-04 | 2703.8ms/step | 22.2 samples/s
|
| 64 |
+
Step 600/50462 | Loss: 4.6142 | LR: 4.00e-04 | 2701.1ms/step | 22.2 samples/s
|
| 65 |
+
Step 610/50462 | Loss: 4.6426 | LR: 4.07e-04 | 2701.4ms/step | 22.2 samples/s
|
| 66 |
+
Step 620/50462 | Loss: 4.6182 | LR: 4.13e-04 | 2702.1ms/step | 22.2 samples/s
|
| 67 |
+
Step 630/50462 | Loss: 4.5529 | LR: 4.20e-04 | 2701.9ms/step | 22.2 samples/s
|
| 68 |
+
Step 640/50462 | Loss: 4.5129 | LR: 4.27e-04 | 2704.7ms/step | 22.2 samples/s
|
| 69 |
+
Step 650/50462 | Loss: 4.4876 | LR: 4.33e-04 | 2704.0ms/step | 22.2 samples/s
|
| 70 |
+
Step 660/50462 | Loss: 4.4495 | LR: 4.40e-04 | 2702.7ms/step | 22.2 samples/s
|
| 71 |
+
Step 670/50462 | Loss: 4.4391 | LR: 4.47e-04 | 2700.4ms/step | 22.2 samples/s
|
| 72 |
+
Step 680/50462 | Loss: 4.4193 | LR: 4.53e-04 | 2700.4ms/step | 22.2 samples/s
|
| 73 |
+
Step 690/50462 | Loss: 4.3732 | LR: 4.60e-04 | 2702.2ms/step | 22.2 samples/s
|
| 74 |
+
Step 700/50462 | Loss: 4.3868 | LR: 4.67e-04 | 2703.1ms/step | 22.2 samples/s
|
| 75 |
+
Step 710/50462 | Loss: 4.3452 | LR: 4.73e-04 | 2705.3ms/step | 22.2 samples/s
|
| 76 |
+
Step 720/50462 | Loss: 4.3096 | LR: 4.80e-04 | 2702.9ms/step | 22.2 samples/s
|
| 77 |
+
Step 730/50462 | Loss: 4.2990 | LR: 4.87e-04 | 2703.7ms/step | 22.2 samples/s
|
| 78 |
+
Step 740/50462 | Loss: 4.2616 | LR: 4.93e-04 | 2704.9ms/step | 22.2 samples/s
|
| 79 |
+
Step 750/50462 | Loss: 4.2783 | LR: 5.00e-04 | 2703.0ms/step | 22.2 samples/s
|
| 80 |
+
Validation at step 750: Loss = 4.2548, Perplexity = 70.44
|
| 81 |
+
Step 760/50462 | Loss: 4.2222 | LR: 5.00e-04 | 4148.5ms/step | 14.5 samples/s
|
| 82 |
+
Step 770/50462 | Loss: 4.2413 | LR: 5.00e-04 | 2700.3ms/step | 22.2 samples/s
|
| 83 |
+
Step 780/50462 | Loss: 4.2028 | LR: 5.00e-04 | 2704.8ms/step | 22.2 samples/s
|
| 84 |
+
Step 790/50462 | Loss: 4.2029 | LR: 5.00e-04 | 2704.6ms/step | 22.2 samples/s
|
| 85 |
+
Step 800/50462 | Loss: 4.1514 | LR: 5.00e-04 | 2756.9ms/step | 21.8 samples/s
|
| 86 |
+
Step 810/50462 | Loss: 4.1582 | LR: 5.00e-04 | 2702.5ms/step | 22.2 samples/s
|
| 87 |
+
Step 820/50462 | Loss: 4.1472 | LR: 5.00e-04 | 2704.7ms/step | 22.2 samples/s
|
| 88 |
+
Step 830/50462 | Loss: 4.1297 | LR: 5.00e-04 | 2704.7ms/step | 22.2 samples/s
|
| 89 |
+
Step 840/50462 | Loss: 4.0992 | LR: 5.00e-04 | 2705.1ms/step | 22.2 samples/s
|
| 90 |
+
Step 850/50462 | Loss: 4.0617 | LR: 5.00e-04 | 2704.1ms/step | 22.2 samples/s
|
| 91 |
+
Step 860/50462 | Loss: 4.0601 | LR: 5.00e-04 | 2702.3ms/step | 22.2 samples/s
|
| 92 |
+
Step 870/50462 | Loss: 4.0459 | LR: 5.00e-04 | 2760.6ms/step | 21.7 samples/s
|
| 93 |
+
Step 880/50462 | Loss: 4.0262 | LR: 5.00e-04 | 2757.3ms/step | 21.8 samples/s
|
| 94 |
+
Step 890/50462 | Loss: 4.0214 | LR: 5.00e-04 | 2702.7ms/step | 22.2 samples/s
|
| 95 |
+
Step 900/50462 | Loss: 4.0181 | LR: 5.00e-04 | 2696.9ms/step | 22.2 samples/s
|
| 96 |
+
Step 910/50462 | Loss: 3.9917 | LR: 5.00e-04 | 2694.0ms/step | 22.3 samples/s
|
| 97 |
+
Step 920/50462 | Loss: 3.9486 | LR: 5.00e-04 | 2697.5ms/step | 22.2 samples/s
|
| 98 |
+
Step 930/50462 | Loss: 4.0074 | LR: 5.00e-04 | 2703.6ms/step | 22.2 samples/s
|
| 99 |
+
Step 940/50462 | Loss: 3.9516 | LR: 5.00e-04 | 2706.2ms/step | 22.2 samples/s
|
| 100 |
+
Step 950/50462 | Loss: 3.9381 | LR: 5.00e-04 | 2707.8ms/step | 22.2 samples/s
|
| 101 |
+
Step 960/50462 | Loss: 3.9388 | LR: 5.00e-04 | 2708.8ms/step | 22.2 samples/s
|
| 102 |
+
Step 970/50462 | Loss: 3.9318 | LR: 5.00e-04 | 2709.3ms/step | 22.1 samples/s
|
| 103 |
+
Step 980/50462 | Loss: 3.8942 | LR: 5.00e-04 | 2710.0ms/step | 22.1 samples/s
|
| 104 |
+
Step 990/50462 | Loss: 3.9123 | LR: 5.00e-04 | 2710.5ms/step | 22.1 samples/s
|
| 105 |
+
Step 1000/50462 | Loss: 3.9161 | LR: 5.00e-04 | 2712.9ms/step | 22.1 samples/s
|
| 106 |
+
Validation at step 1000: Loss = 3.9162, Perplexity = 50.21
|
| 107 |
+
Saved checkpoint to /mloscratch/homes/navasard/sparse/checkpoints/run_20260706_040422/checkpoint-1000
|
| 108 |
+
Step 1010/50462 | Loss: 3.8950 | LR: 5.00e-04 | 5064.2ms/step | 11.8 samples/s
|
| 109 |
+
Step 1020/50462 | Loss: 3.9062 | LR: 5.00e-04 | 2700.0ms/step | 22.2 samples/s
|
| 110 |
+
Step 1030/50462 | Loss: 3.8888 | LR: 5.00e-04 | 2712.5ms/step | 22.1 samples/s
|
| 111 |
+
Step 1040/50462 | Loss: 3.8945 | LR: 5.00e-04 | 2714.8ms/step | 22.1 samples/s
|
| 112 |
+
Step 1050/50462 | Loss: 3.8628 | LR: 5.00e-04 | 2715.6ms/step | 22.1 samples/s
|
| 113 |
+
Step 1060/50462 | Loss: 3.8635 | LR: 5.00e-04 | 2713.4ms/step | 22.1 samples/s
|
| 114 |
+
Step 1070/50462 | Loss: 3.8484 | LR: 5.00e-04 | 2713.7ms/step | 22.1 samples/s
|
| 115 |
+
Step 1080/50462 | Loss: 3.8564 | LR: 5.00e-04 | 2713.0ms/step | 22.1 samples/s
|
| 116 |
+
Step 1090/50462 | Loss: 3.8182 | LR: 5.00e-04 | 2714.4ms/step | 22.1 samples/s
|
| 117 |
+
Step 1100/50462 | Loss: 3.8417 | LR: 5.00e-04 | 2712.7ms/step | 22.1 samples/s
|
| 118 |
+
Step 1110/50462 | Loss: 3.8512 | LR: 5.00e-04 | 2711.5ms/step | 22.1 samples/s
|
| 119 |
+
Step 1120/50462 | Loss: 3.8053 | LR: 5.00e-04 | 2715.3ms/step | 22.1 samples/s
|
| 120 |
+
Step 1130/50462 | Loss: 3.8228 | LR: 5.00e-04 | 2769.0ms/step | 21.7 samples/s
|
| 121 |
+
Step 1140/50462 | Loss: 3.7991 | LR: 5.00e-04 | 2712.7ms/step | 22.1 samples/s
|
| 122 |
+
Step 1150/50462 | Loss: 3.7665 | LR: 5.00e-04 | 2712.0ms/step | 22.1 samples/s
|
| 123 |
+
Step 1160/50462 | Loss: 3.7871 | LR: 5.00e-04 | 2713.2ms/step | 22.1 samples/s
|
| 124 |
+
Step 1170/50462 | Loss: 3.7761 | LR: 5.00e-04 | 2713.2ms/step | 22.1 samples/s
|
| 125 |
+
Step 1180/50462 | Loss: 3.7418 | LR: 5.00e-04 | 2710.2ms/step | 22.1 samples/s
|
| 126 |
+
Step 1190/50462 | Loss: 3.7695 | LR: 5.00e-04 | 2707.3ms/step | 22.2 samples/s
|
| 127 |
+
Step 1200/50462 | Loss: 3.7765 | LR: 5.00e-04 | 2763.9ms/step | 21.7 samples/s
|
| 128 |
+
Step 1210/50462 | Loss: 3.7845 | LR: 5.00e-04 | 2708.6ms/step | 22.2 samples/s
|
| 129 |
+
Step 1220/50462 | Loss: 3.7430 | LR: 5.00e-04 | 2766.0ms/step | 21.7 samples/s
|
| 130 |
+
Step 1230/50462 | Loss: 3.7115 | LR: 5.00e-04 | 2713.7ms/step | 22.1 samples/s
|
| 131 |
+
Step 1240/50462 | Loss: 3.7684 | LR: 5.00e-04 | 2713.6ms/step | 22.1 samples/s
|
| 132 |
+
Step 1250/50462 | Loss: 3.7305 | LR: 5.00e-04 | 2711.0ms/step | 22.1 samples/s
|
| 133 |
+
Validation at step 1250: Loss = 3.7457, Perplexity = 42.34
|
| 134 |
+
Step 1260/50462 | Loss: 3.7549 | LR: 5.00e-04 | 4160.7ms/step | 14.4 samples/s
|
| 135 |
+
Step 1270/50462 | Loss: 3.7178 | LR: 5.00e-04 | 2713.5ms/step | 22.1 samples/s
|
| 136 |
+
Step 1280/50462 | Loss: 3.7033 | LR: 5.00e-04 | 2714.4ms/step | 22.1 samples/s
|
| 137 |
+
Step 1290/50462 | Loss: 3.7069 | LR: 5.00e-04 | 2713.7ms/step | 22.1 samples/s
|
| 138 |
+
Step 1300/50462 | Loss: 3.6999 | LR: 5.00e-04 | 2715.0ms/step | 22.1 samples/s
|
| 139 |
+
Step 1310/50462 | Loss: 3.7032 | LR: 5.00e-04 | 2709.7ms/step | 22.1 samples/s
|
| 140 |
+
Step 1320/50462 | Loss: 3.6988 | LR: 5.00e-04 | 2715.1ms/step | 22.1 samples/s
|
| 141 |
+
Step 1330/50462 | Loss: 3.6967 | LR: 5.00e-04 | 2714.1ms/step | 22.1 samples/s
|
| 142 |
+
Step 1340/50462 | Loss: 3.6827 | LR: 5.00e-04 | 2712.9ms/step | 22.1 samples/s
|
| 143 |
+
Step 1350/50462 | Loss: 3.6665 | LR: 5.00e-04 | 2711.9ms/step | 22.1 samples/s
|
| 144 |
+
Step 1360/50462 | Loss: 3.6848 | LR: 5.00e-04 | 2711.4ms/step | 22.1 samples/s
|
| 145 |
+
Step 1370/50462 | Loss: 3.6631 | LR: 5.00e-04 | 2710.6ms/step | 22.1 samples/s
|
| 146 |
+
Step 1380/50462 | Loss: 3.7003 | LR: 5.00e-04 | 2713.4ms/step | 22.1 samples/s
|
| 147 |
+
Step 1390/50462 | Loss: 3.6871 | LR: 5.00e-04 | 2713.9ms/step | 22.1 samples/s
|
| 148 |
+
Step 1400/50462 | Loss: 3.6462 | LR: 5.00e-04 | 2714.1ms/step | 22.1 samples/s
|
| 149 |
+
Step 1410/50462 | Loss: 3.6726 | LR: 5.00e-04 | 2712.8ms/step | 22.1 samples/s
|
| 150 |
+
Step 1420/50462 | Loss: 3.6439 | LR: 5.00e-04 | 2714.6ms/step | 22.1 samples/s
|
| 151 |
+
Step 1430/50462 | Loss: 3.6282 | LR: 5.00e-04 | 2713.8ms/step | 22.1 samples/s
|
| 152 |
+
Step 1440/50462 | Loss: 3.6609 | LR: 5.00e-04 | 2715.1ms/step | 22.1 samples/s
|
| 153 |
+
Step 1450/50462 | Loss: 3.6282 | LR: 5.00e-04 | 2714.9ms/step | 22.1 samples/s
|
| 154 |
+
Step 1460/50462 | Loss: 3.6319 | LR: 5.00e-04 | 2767.9ms/step | 21.7 samples/s
|
| 155 |
+
Step 1470/50462 | Loss: 3.6127 | LR: 5.00e-04 | 2713.4ms/step | 22.1 samples/s
|
| 156 |
+
Step 1480/50462 | Loss: 3.6521 | LR: 5.00e-04 | 2714.7ms/step | 22.1 samples/s
|
| 157 |
+
Step 1490/50462 | Loss: 3.6304 | LR: 5.00e-04 | 2712.8ms/step | 22.1 samples/s
|
| 158 |
+
Step 1500/50462 | Loss: 3.5960 | LR: 5.00e-04 | 2716.0ms/step | 22.1 samples/s
|
| 159 |
+
Validation at step 1500: Loss = 3.6393, Perplexity = 38.06
|
| 160 |
+
Step 1510/50462 | Loss: 3.6383 | LR: 5.00e-04 | 4173.6ms/step | 14.4 samples/s
|
| 161 |
+
Step 1520/50462 | Loss: 3.6056 | LR: 5.00e-04 | 2716.1ms/step | 22.1 samples/s
|
| 162 |
+
Step 1530/50462 | Loss: 3.6322 | LR: 5.00e-04 | 2718.6ms/step | 22.1 samples/s
|
| 163 |
+
Step 1540/50462 | Loss: 3.5982 | LR: 5.00e-04 | 2774.0ms/step | 21.6 samples/s
|
| 164 |
+
Step 1550/50462 | Loss: 3.6089 | LR: 5.00e-04 | 2712.1ms/step | 22.1 samples/s
|
| 165 |
+
Step 1560/50462 | Loss: 3.5995 | LR: 5.00e-04 | 2768.0ms/step | 21.7 samples/s
|
| 166 |
+
Step 1570/50462 | Loss: 3.6266 | LR: 5.00e-04 | 2714.6ms/step | 22.1 samples/s
|
| 167 |
+
Step 1580/50462 | Loss: 3.5970 | LR: 5.00e-04 | 2714.8ms/step | 22.1 samples/s
|
epfl_final/SparseAtt/wandb/run-20260706_040451-i83whqph/files/requirements.txt
ADDED
|
@@ -0,0 +1,122 @@
|
|
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|
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|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
word2number==1.1
|
| 2 |
+
sqlitedict==2.1.0
|
| 3 |
+
pytz==2026.2
|
| 4 |
+
nvidia-cusparselt-cu13==0.8.1
|
| 5 |
+
mpmath==1.3.0
|
| 6 |
+
cuda-toolkit==13.0.2
|
| 7 |
+
zstandard==0.25.0
|
| 8 |
+
xxhash==3.8.0
|
| 9 |
+
urllib3==2.7.0
|
| 10 |
+
tzdata==2026.2
|
| 11 |
+
typing_extensions==4.16.0
|
| 12 |
+
triton==3.7.1
|
| 13 |
+
tqdm==4.68.3
|
| 14 |
+
torchinfo==1.8.0
|
| 15 |
+
threadpoolctl==3.6.0
|
| 16 |
+
tcolorpy==0.1.7
|
| 17 |
+
tabulate==0.10.0
|
| 18 |
+
sympy==1.14.0
|
| 19 |
+
smmap==5.0.3
|
| 20 |
+
six==1.17.0
|
| 21 |
+
shellingham==1.5.4
|
| 22 |
+
safetensors==0.8.0
|
| 23 |
+
regex==2026.6.28
|
| 24 |
+
PyYAML==6.0.3
|
| 25 |
+
Pygments==2.20.0
|
| 26 |
+
pyarrow==24.0.0
|
| 27 |
+
psutil==7.2.2
|
| 28 |
+
protobuf==7.35.1
|
| 29 |
+
propcache==0.5.2
|
| 30 |
+
portalocker==3.2.0
|
| 31 |
+
platformdirs==4.10.0
|
| 32 |
+
pathvalidate==3.3.1
|
| 33 |
+
packaging==26.2
|
| 34 |
+
nvidia-nvtx==13.0.85
|
| 35 |
+
nvidia-nvshmem-cu13==3.4.5
|
| 36 |
+
nvidia-nvjitlink==13.0.88
|
| 37 |
+
nvidia-nccl-cu13==2.29.7
|
| 38 |
+
nvidia-curand==10.4.0.35
|
| 39 |
+
nvidia-cufile==1.15.1.6
|
| 40 |
+
nvidia-cuda-runtime==13.0.96
|
| 41 |
+
nvidia-cuda-nvrtc==13.0.88
|
| 42 |
+
nvidia-cuda-cupti==13.0.85
|
| 43 |
+
numpy==2.2.6
|
| 44 |
+
networkx==3.4.2
|
| 45 |
+
more-itertools==11.1.0
|
| 46 |
+
mdurl==0.1.2
|
| 47 |
+
MarkupSafe==3.0.3
|
| 48 |
+
lxml==6.1.1
|
| 49 |
+
joblib==1.5.3
|
| 50 |
+
idna==3.18
|
| 51 |
+
hf-xet==1.5.1
|
| 52 |
+
h11==0.16.0
|
| 53 |
+
fsspec==2026.4.0
|
| 54 |
+
frozenlist==1.8.0
|
| 55 |
+
filelock==3.29.5
|
| 56 |
+
dill==0.4.1
|
| 57 |
+
cuda-pathfinder==1.5.6
|
| 58 |
+
colorama==0.4.6
|
| 59 |
+
click==8.4.2
|
| 60 |
+
charset-normalizer==3.4.7
|
| 61 |
+
chardet==6.0.0.post1
|
| 62 |
+
certifi==2026.6.17
|
| 63 |
+
attrs==26.1.0
|
| 64 |
+
async-timeout==5.0.1
|
| 65 |
+
annotated-types==0.7.0
|
| 66 |
+
annotated-doc==0.0.4
|
| 67 |
+
aiohappyeyeballs==2.7.1
|
| 68 |
+
absl-py==2.5.0
|
| 69 |
+
typing-inspection==0.4.2
|
| 70 |
+
sentry-sdk==2.64.0
|
| 71 |
+
scipy==1.15.3
|
| 72 |
+
sacrebleu==2.6.0
|
| 73 |
+
requests==2.34.2
|
| 74 |
+
python-dateutil==2.9.0.post0
|
| 75 |
+
pydantic_core==2.46.4
|
| 76 |
+
nvidia-cusparse==12.6.3.3
|
| 77 |
+
nvidia-cufft==12.0.0.61
|
| 78 |
+
nvidia-cublas==13.1.1.3
|
| 79 |
+
nltk==3.9.4
|
| 80 |
+
multiprocess==0.70.19
|
| 81 |
+
multidict==6.7.1
|
| 82 |
+
mbstrdecoder==1.1.5
|
| 83 |
+
markdown-it-py==4.2.0
|
| 84 |
+
Jinja2==3.1.6
|
| 85 |
+
httpcore==1.0.9
|
| 86 |
+
gitdb==4.0.12
|
| 87 |
+
exceptiongroup==1.3.1
|
| 88 |
+
cuda-bindings==13.3.1
|
| 89 |
+
aiosignal==1.4.0
|
| 90 |
+
yarl==1.24.2
|
| 91 |
+
typepy==1.3.5
|
| 92 |
+
scikit-learn==1.7.2
|
| 93 |
+
rouge-score==0.1.2
|
| 94 |
+
rich==15.0.0
|
| 95 |
+
pydantic==2.13.4
|
| 96 |
+
pandas==2.3.3
|
| 97 |
+
nvidia-cusolver==12.0.4.66
|
| 98 |
+
nvidia-cudnn-cu13==9.20.0.48
|
| 99 |
+
GitPython==3.1.50
|
| 100 |
+
anyio==4.14.1
|
| 101 |
+
wandb==0.28.0
|
| 102 |
+
typer==0.26.8
|
| 103 |
+
httpx==0.28.1
|
| 104 |
+
aiohttp==3.14.1
|
| 105 |
+
torch==2.12.1
|
| 106 |
+
huggingface_hub==1.22.0
|
| 107 |
+
DataProperty==1.1.1
|
| 108 |
+
tokenizers==0.22.2
|
| 109 |
+
tabledata==1.3.5
|
| 110 |
+
datasets==5.0.0
|
| 111 |
+
accelerate==1.14.0
|
| 112 |
+
transformers==5.13.0
|
| 113 |
+
pytablewriter==1.2.1
|
| 114 |
+
evaluate==0.4.6
|
| 115 |
+
lm_eval==0.4.12
|
| 116 |
+
PyGObject==3.42.1
|
| 117 |
+
dbus-python==1.2.18
|
| 118 |
+
distro==1.7.0
|
| 119 |
+
pip==22.0.2
|
| 120 |
+
setuptools==59.6.0
|
| 121 |
+
ssh-import-id==5.11
|
| 122 |
+
wheel==0.37.1
|
epfl_final/SparseAtt/wandb/run-20260706_040451-i83whqph/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-124-generic-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.10.12",
|
| 4 |
+
"startedAt": "2026-07-06T04:04:51.599899Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"--config",
|
| 7 |
+
"configs/train_config_fixed_nrb1.json"
|
| 8 |
+
],
|
| 9 |
+
"program": "/mloscratch/homes/navasard/sparse/SparseAtt/train.py",
|
| 10 |
+
"codePath": "train.py",
|
| 11 |
+
"codePathLocal": "train.py",
|
| 12 |
+
"git": {
|
| 13 |
+
"remote": "https://github.com/rubentium/TokenPrune.git",
|
| 14 |
+
"commit": "88298c7a418622530ca5426b22b1e5ebd10ca0cb"
|
| 15 |
+
},
|
| 16 |
+
"email": "ruben.navasardyan@mail.utoronto.ca",
|
| 17 |
+
"root": "/mloscratch/homes/navasard/sparse/SparseAtt",
|
| 18 |
+
"host": "h100-train-3-gpu-0-255",
|
| 19 |
+
"executable": "/usr/bin/python3",
|
| 20 |
+
"cpu_count": 96,
|
| 21 |
+
"cpu_count_logical": 192,
|
| 22 |
+
"gpu": "NVIDIA H100 80GB HBM3",
|
| 23 |
+
"gpu_count": 3,
|
| 24 |
+
"disk": {
|
| 25 |
+
"/": {
|
| 26 |
+
"total": "9374931091456",
|
| 27 |
+
"used": "4954676961280"
|
| 28 |
+
}
|
| 29 |
+
},
|
| 30 |
+
"memory": {
|
| 31 |
+
"total": "1623005732864"
|
| 32 |
+
},
|
| 33 |
+
"gpu_nvidia": [
|
| 34 |
+
{
|
| 35 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 36 |
+
"memoryTotal": "85520809984",
|
| 37 |
+
"cudaCores": 16896,
|
| 38 |
+
"architecture": "Hopper",
|
| 39 |
+
"uuid": "GPU-85844f64-d144-1c84-306d-f88b5f232a77"
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 43 |
+
"memoryTotal": "85520809984",
|
| 44 |
+
"cudaCores": 16896,
|
| 45 |
+
"architecture": "Hopper",
|
| 46 |
+
"uuid": "GPU-c65885f7-52dc-6f23-a3dd-6addf8b518a2"
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 50 |
+
"memoryTotal": "85520809984",
|
| 51 |
+
"cudaCores": 16896,
|
| 52 |
+
"architecture": "Hopper",
|
| 53 |
+
"uuid": "GPU-7e349d73-ad76-d62d-635c-266997fedcc1"
|
| 54 |
+
}
|
| 55 |
+
],
|
| 56 |
+
"cudaVersion": "13.0",
|
| 57 |
+
"writerId": "4nryxwijo9u9z9fnk39n628cm7oqtp93"
|
| 58 |
+
}
|
epfl_final/SparseAtt/wandb/run-20260706_040451-i83whqph/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,603 @@
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|
| 1 |
+
{"time":"2026-07-06T04:04:51.624707014Z","level":"INFO","msg":"wandb-core"}
|
| 2 |
+
{"time":"2026-07-06T04:04:51.627232475Z","level":"INFO","msg":"stream: starting","core version":"0.28.0"}
|
| 3 |
+
{"time":"2026-07-06T04:04:52.032311993Z","level":"INFO","msg":"stream: created new stream","id":"i83whqph"}
|
| 4 |
+
{"time":"2026-07-06T04:04:52.032452684Z","level":"INFO","msg":"handler: started"}
|
| 5 |
+
{"time":"2026-07-06T04:04:52.034635261Z","level":"INFO","msg":"stream: started"}
|
| 6 |
+
{"time":"2026-07-06T04:04:52.035719654Z","level":"INFO","msg":"sender: started"}
|
| 7 |
+
{"time":"2026-07-06T04:04:52.035761316Z","level":"INFO","msg":"writer: started","stream_id":"i83whqph"}
|
| 8 |
+
{"time":"2026-07-06T04:04:52.707331889Z","level":"INFO","msg":"filestream: sending request","total_files":1,"console_offset":0,"console_lines":1}
|
| 9 |
+
{"time":"2026-07-06T04:04:52.952664602Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 10 |
+
{"time":"2026-07-06T04:05:07.708816506Z","level":"INFO","msg":"filestream: sending request","total_files":2,"events_offset":0,"events_lines":2,"console_offset":1,"console_lines":1,"uploaded_len":2}
|
| 11 |
+
{"time":"2026-07-06T04:05:07.992019776Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 12 |
+
{"time":"2026-07-06T04:05:22.707542437Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":2,"events_lines":2}
|
| 13 |
+
{"time":"2026-07-06T04:05:22.967436444Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 14 |
+
{"time":"2026-07-06T04:05:37.707776246Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":4,"events_lines":2}
|
| 15 |
+
{"time":"2026-07-06T04:05:38.057798058Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 16 |
+
{"time":"2026-07-06T04:05:52.707960902Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":6,"events_lines":2}
|
| 17 |
+
{"time":"2026-07-06T04:05:53.021335347Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 18 |
+
{"time":"2026-07-06T04:06:07.707217989Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":8,"events_lines":2}
|
| 19 |
+
{"time":"2026-07-06T04:06:07.995603315Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 20 |
+
{"time":"2026-07-06T04:06:22.708201981Z","level":"INFO","msg":"filestream: sending request","total_files":2,"events_offset":10,"events_lines":2,"console_offset":2,"console_lines":1}
|
| 21 |
+
{"time":"2026-07-06T04:06:23.054107271Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 22 |
+
{"time":"2026-07-06T04:06:37.707630094Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":0,"history_lines":1,"events_offset":12,"events_lines":2,"console_offset":3,"console_lines":1}
|
| 23 |
+
{"time":"2026-07-06T04:06:38.087658213Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 24 |
+
{"time":"2026-07-06T04:06:52.708188108Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":14,"events_lines":2}
|
| 25 |
+
{"time":"2026-07-06T04:06:53.131761637Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 26 |
+
{"time":"2026-07-06T04:07:07.708077602Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":1,"history_lines":1,"events_offset":16,"events_lines":2,"console_offset":4,"console_lines":1}
|
| 27 |
+
{"time":"2026-07-06T04:07:07.923342026Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 28 |
+
{"time":"2026-07-06T04:07:22.707638895Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":18,"events_lines":2}
|
| 29 |
+
{"time":"2026-07-06T04:07:22.9552446Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 30 |
+
{"time":"2026-07-06T04:07:37.708118921Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":2,"history_lines":1,"events_offset":20,"events_lines":2,"console_offset":5,"console_lines":1}
|
| 31 |
+
{"time":"2026-07-06T04:07:37.931490606Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 32 |
+
{"time":"2026-07-06T04:07:52.708177304Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":22,"events_lines":2}
|
| 33 |
+
{"time":"2026-07-06T04:07:52.946564077Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 34 |
+
{"time":"2026-07-06T04:08:07.708335305Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":3,"history_lines":1,"events_offset":24,"events_lines":2,"console_offset":6,"console_lines":1}
|
| 35 |
+
{"time":"2026-07-06T04:08:07.92203653Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 36 |
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|
| 532 |
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| 533 |
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{"time":"2026-07-06T05:10:22.966103164Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 534 |
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{"time":"2026-07-06T05:10:37.707273138Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":524,"events_lines":2}
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| 535 |
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{"time":"2026-07-06T05:10:37.947256896Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 536 |
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{"time":"2026-07-06T05:10:52.708070819Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":138,"history_lines":1,"events_offset":526,"events_lines":2,"console_offset":147,"console_lines":1}
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| 537 |
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{"time":"2026-07-06T05:10:52.941790416Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 538 |
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| 539 |
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{"time":"2026-07-06T05:11:07.923894723Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 540 |
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| 541 |
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{"time":"2026-07-06T05:11:22.975658161Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 542 |
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{"time":"2026-07-06T05:11:37.707921973Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":140,"history_lines":1,"events_offset":532,"events_lines":2,"console_offset":149,"console_lines":1}
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| 543 |
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{"time":"2026-07-06T05:11:37.93259647Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 544 |
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| 545 |
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{"time":"2026-07-06T05:11:52.934430465Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 546 |
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| 547 |
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{"time":"2026-07-06T05:12:07.976094732Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 548 |
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{"time":"2026-07-06T05:12:22.707353668Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":538,"events_lines":2}
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| 549 |
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{"time":"2026-07-06T05:12:22.950546927Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 550 |
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{"time":"2026-07-06T05:12:37.708050999Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":142,"history_lines":1,"events_offset":540,"events_lines":2,"console_offset":151,"console_lines":1}
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| 551 |
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{"time":"2026-07-06T05:12:37.928992269Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 552 |
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{"time":"2026-07-06T05:12:52.707715422Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":542,"events_lines":2}
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| 553 |
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{"time":"2026-07-06T05:12:53.151768505Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 554 |
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{"time":"2026-07-06T05:13:07.707497761Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":143,"history_lines":1,"events_offset":544,"events_lines":2,"console_offset":152,"console_lines":1}
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| 555 |
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{"time":"2026-07-06T05:13:08.015663305Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 556 |
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{"time":"2026-07-06T05:13:22.707708572Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":144,"history_lines":1,"events_offset":546,"events_lines":2,"console_offset":153,"console_lines":1}
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| 557 |
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{"time":"2026-07-06T05:13:23.012242893Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 558 |
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{"time":"2026-07-06T05:13:37.708015168Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":548,"events_lines":2}
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{"time":"2026-07-06T05:13:37.978730707Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 560 |
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{"time":"2026-07-06T05:13:52.70791287Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":145,"history_lines":1,"events_offset":550,"events_lines":2,"console_offset":154,"console_lines":1}
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| 561 |
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{"time":"2026-07-06T05:13:52.945007216Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 562 |
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{"time":"2026-07-06T05:14:07.707390963Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":552,"events_lines":2}
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| 563 |
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{"time":"2026-07-06T05:14:07.988010971Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 564 |
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{"time":"2026-07-06T05:14:22.708267875Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":146,"history_lines":1,"events_offset":554,"events_lines":2,"console_offset":155,"console_lines":1}
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| 565 |
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{"time":"2026-07-06T05:14:22.963717709Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 566 |
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{"time":"2026-07-06T05:14:37.707968709Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":556,"events_lines":2}
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| 567 |
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{"time":"2026-07-06T05:14:37.933324721Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 568 |
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{"time":"2026-07-06T05:14:52.707777155Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":147,"history_lines":1,"events_offset":558,"events_lines":2,"console_offset":156,"console_lines":1}
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| 569 |
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{"time":"2026-07-06T05:14:52.953437984Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 570 |
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| 571 |
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{"time":"2026-07-06T05:15:07.949749651Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 572 |
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{"time":"2026-07-06T05:15:22.708204109Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":148,"history_lines":1,"events_offset":562,"events_lines":2,"console_offset":157,"console_lines":1}
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| 573 |
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{"time":"2026-07-06T05:15:22.957322508Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 574 |
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{"time":"2026-07-06T05:15:37.707720027Z","level":"INFO","msg":"filestream: sending request","total_files":2,"events_offset":564,"events_lines":2,"console_offset":158,"console_lines":1}
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| 575 |
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{"time":"2026-07-06T05:15:37.949921433Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 576 |
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{"time":"2026-07-06T05:15:52.707665658Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":149,"history_lines":1,"events_offset":566,"events_lines":2,"console_offset":159,"console_lines":1}
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| 577 |
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{"time":"2026-07-06T05:15:52.921092128Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 578 |
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| 580 |
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| 581 |
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{"time":"2026-07-06T05:16:23.123890313Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 582 |
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{"time":"2026-07-06T05:16:37.708070906Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":572,"events_lines":2}
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| 583 |
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{"time":"2026-07-06T05:16:37.937279103Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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| 584 |
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{"time":"2026-07-06T05:16:52.707345702Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":151,"history_lines":1,"events_offset":574,"events_lines":2,"console_offset":161,"console_lines":1}
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| 585 |
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{"time":"2026-07-06T05:16:53.031433329Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 586 |
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{"time":"2026-07-06T05:17:07.708111302Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":576,"events_lines":2}
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| 587 |
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{"time":"2026-07-06T05:17:07.939419285Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 588 |
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{"time":"2026-07-06T05:17:22.707300089Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":152,"history_lines":1,"events_offset":578,"events_lines":2,"console_offset":162,"console_lines":1}
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| 589 |
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{"time":"2026-07-06T05:17:22.996627832Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 590 |
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{"time":"2026-07-06T05:17:37.708205738Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":580,"events_lines":2}
|
| 591 |
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{"time":"2026-07-06T05:17:37.967969451Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 592 |
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{"time":"2026-07-06T05:17:52.707334606Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":153,"history_lines":1,"events_offset":582,"events_lines":2,"console_offset":163,"console_lines":1}
|
| 593 |
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{"time":"2026-07-06T05:17:52.961546171Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 594 |
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{"time":"2026-07-06T05:18:07.707900206Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":584,"events_lines":2}
|
| 595 |
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{"time":"2026-07-06T05:18:07.968181234Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 596 |
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{"time":"2026-07-06T05:18:22.707778276Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":154,"history_lines":1,"events_offset":586,"events_lines":2,"console_offset":164,"console_lines":1}
|
| 597 |
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{"time":"2026-07-06T05:18:22.93456087Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 598 |
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{"time":"2026-07-06T05:18:37.707595345Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":155,"history_lines":1,"events_offset":588,"events_lines":2,"console_offset":165,"console_lines":1}
|
| 599 |
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{"time":"2026-07-06T05:18:37.934176263Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 600 |
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{"time":"2026-07-06T05:18:52.70810608Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":590,"events_lines":2}
|
| 601 |
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{"time":"2026-07-06T05:18:52.937430026Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 602 |
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{"time":"2026-07-06T05:19:07.708234261Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":156,"history_lines":1,"events_offset":592,"events_lines":2,"console_offset":166,"console_lines":1}
|
| 603 |
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{"time":"2026-07-06T05:19:08.045822577Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
epfl_final/SparseAtt/wandb/run-20260706_040451-i83whqph/logs/debug.log
ADDED
|
@@ -0,0 +1,19 @@
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| 1 |
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2026-07-06 04:04:51,620 INFO MainThread:221 [wandb_setup.py:_flush():81] Current SDK version is 0.28.0
|
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2026-07-06 04:04:51,621 INFO MainThread:221 [wandb_setup.py:_flush():81] Configure stats pid to 221
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2026-07-06 04:04:51,621 INFO MainThread:221 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
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2026-07-06 04:04:51,621 INFO MainThread:221 [wandb_init.py:setup_run_log_directory():725] Logging user logs to /mloscratch/homes/navasard/sparse/SparseAtt/wandb/run-20260706_040451-i83whqph/logs/debug.log
|
| 5 |
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2026-07-06 04:04:51,621 INFO MainThread:221 [wandb_init.py:setup_run_log_directory():726] Logging internal logs to /mloscratch/homes/navasard/sparse/SparseAtt/wandb/run-20260706_040451-i83whqph/logs/debug-internal.log
|
| 6 |
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2026-07-06 04:04:51,621 INFO MainThread:221 [wandb_init.py:init():768] calling init triggers
|
| 7 |
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2026-07-06 04:04:51,621 INFO MainThread:221 [wandb_init.py:init():773] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'model_path': '/mloscratch/homes/navasard/qwen3_06b_base', 'model_dtype': 'bfloat16', 'init_from_scratch': True, 'train_path': '/mloscratch/homes/navasard/data/fineweb_large/tokenized', 'val_path': None, 'max_seq_length': 8192, 'num_workers': 8, 'output_dir': '/mloscratch/homes/navasard/sparse/checkpoints/run_20260706_040422', 'resume_from_checkpoint': None, 'force_new_run': True, 'num_epochs': 1, 'max_steps': None, 'per_device_batch_size': 2, 'gradient_accumulation_steps': 10, 'learning_rate': 0.0005, 'weight_decay': 0.01, 'warmup_steps': 750, 'lr_scheduler': 'cosine', 'max_grad_norm': 1.0, 'save_steps': 1000, 'eval_steps': 250, 'eval_batches': 50, 'logging_steps': 10, 'seed': 42, 'verbose': True, 'checkpoint_activations': False, 'strategy': 'ddp', 'mixed_precision': 'bf16', 'wandb_enabled': True, 'wandb_project': 'stochastic_sparsity', 'wandb_name': 'fixed nrb1 diag+1', 'wandb_tags': ['qwen3', '1.2b', 'sparse_stochastic', 'nrb1', 'fixed', 'extreme'], 'hidden_size': 1536, 'intermediate_size': 6144, 'num_attention_heads': 12, 'num_key_value_heads': 4, 'num_hidden_layers': None, 'head_dim': None, 'attention_type': 'sparse_stochastic', 'sparse_block_size': 128, 'sparse_num_random_blocks': 1, 'sparse_mask_pool_size': 1, 'sparse_val_dense_compare': False, 'sparse_layer_indices': None, 'sparse_mask_cache_dir': None, 'dense_mode': False, 'dense_step_intervals': None, '_wandb': {}}
|
| 9 |
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2026-07-06 04:04:51,621 INFO MainThread:221 [wandb_init.py:init():816] starting backend
|
| 10 |
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2026-07-06 04:04:51,621 INFO MainThread:221 [wandb_init.py:init():831] sending inform_init request
|
| 11 |
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2026-07-06 04:04:52,035 INFO MainThread:221 [wandb_init.py:init():836] backend started and connected
|
| 12 |
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2026-07-06 04:04:52,038 INFO MainThread:221 [wandb_init.py:init():906] updated telemetry
|
| 13 |
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2026-07-06 04:04:52,066 INFO MainThread:221 [wandb_init.py:init():929] communicating run to backend with 90.0 second timeout
|
| 14 |
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2026-07-06 04:04:52,422 INFO MainThread:221 [wandb_init.py:init():974] starting run threads in backend
|
| 15 |
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2026-07-06 04:04:52,692 INFO MainThread:221 [wandb_run.py:_console_start():2523] atexit reg
|
| 16 |
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2026-07-06 04:04:52,692 INFO MainThread:221 [wandb_run.py:_redirect():2373] redirect: wrap_raw
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| 17 |
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2026-07-06 04:04:52,692 INFO MainThread:221 [wandb_run.py:_redirect():2442] Wrapping output streams.
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2026-07-06 04:04:52,692 INFO MainThread:221 [wandb_run.py:_redirect():2465] Redirects installed.
|
| 19 |
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2026-07-06 04:04:52,701 INFO MainThread:221 [wandb_init.py:init():1012] run started, returning control to user process
|
epfl_final/SparseAtt/wandb/run-20260706_040451-i83whqph/run-i83whqph.wandb
ADDED
|
@@ -0,0 +1,3 @@
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oid sha256:b584ef482cfb9304a569239e7d96a9756762f240159f1701d80043ee943ad691
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size 1245184
|
epfl_final/SparseAtt/wandb/run-20260707_034612-dbtl6d2o/files/output.log
ADDED
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See raw diff
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epfl_final/SparseAtt/wandb/run-20260707_034612-dbtl6d2o/files/requirements.txt
ADDED
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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pip==26.0.1
|
| 2 |
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nvidia-cusparselt-cu13==0.8.0
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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| 7 |
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|
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| 10 |
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|
| 11 |
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torchinfo==1.8.0
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| 12 |
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| 13 |
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|
| 14 |
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six==1.17.0
|
| 15 |
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shellingham==1.5.4
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| 16 |
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|
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| 20 |
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| 21 |
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|
| 22 |
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| 23 |
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protobuf==7.34.1
|
| 24 |
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| 25 |
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|
| 26 |
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packaging==26.2
|
| 27 |
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|
| 28 |
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nvidia-nvshmem-cu13==3.4.5
|
| 29 |
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|
| 30 |
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|
| 31 |
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| 32 |
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| 33 |
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| 34 |
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|
| 35 |
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nvidia-cuda-cupti==13.0.85
|
| 36 |
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|
| 37 |
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numpy==2.4.4
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| 38 |
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networkx==3.6.1
|
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| 40 |
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|
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h11==0.16.0
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|
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cuda-pathfinder==1.5.4
|
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|
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typing-inspection==0.4.2
|
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|
| 60 |
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requests==2.33.1
|
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python-dateutil==2.9.0.post0
|
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pydantic_core==2.46.3
|
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nvidia-cusparse==12.6.3.3
|
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nvidia-cufft==12.0.0.61
|
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nvidia-cudnn-cu13==9.19.0.56
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multiprocess==0.70.19
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markdown-it-py==4.0.0
|
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httpcore==1.0.9
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cuda-bindings==13.2.0
|
| 72 |
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anyio==4.13.0
|
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aiosignal==1.4.0
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| 74 |
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rich==15.0.0
|
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| 76 |
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typer==0.25.1
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torch==2.11.0
|
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huggingface_hub==1.13.0
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datasets==4.8.5
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accelerate==1.13.0
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| 88 |
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| 90 |
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sqlitedict==2.1.0
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| 91 |
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pytz==2026.2
|
| 92 |
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threadpoolctl==3.6.0
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| 93 |
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| 94 |
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|
| 95 |
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scipy==1.17.1
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| 96 |
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portalocker==3.2.0
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pathvalidate==3.3.1
|
| 98 |
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narwhals==2.22.1
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| 99 |
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|
| 100 |
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lxml==6.1.1
|
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joblib==1.5.3
|
| 102 |
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colorama==0.4.6
|
| 103 |
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chardet==6.0.0.post1
|
| 104 |
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absl-py==2.4.0
|
| 105 |
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scikit-learn==1.9.0
|
| 106 |
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sacrebleu==2.6.0
|
| 107 |
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nltk==3.9.4
|
| 108 |
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mbstrdecoder==1.1.5
|
| 109 |
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typepy==1.3.5
|
| 110 |
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rouge_score==0.1.2
|
| 111 |
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DataProperty==1.1.1
|
| 112 |
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tabledata==1.3.5
|
| 113 |
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evaluate==0.4.6
|
| 114 |
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pytablewriter==1.2.1
|
| 115 |
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lm_eval==0.4.12
|
| 116 |
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pluggy==1.6.0
|
| 117 |
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iniconfig==2.3.0
|
| 118 |
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pytest==9.1.0
|
| 119 |
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py-spy==0.4.2
|
| 120 |
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pillow==12.2.0
|
| 121 |
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tifffile==2026.6.1
|
| 122 |
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imagecodecs==2026.6.26
|
| 123 |
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zipp==4.1.0
|
| 124 |
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importlib_metadata==9.0.0
|
| 125 |
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derivative==0.6.3
|
| 126 |
+
pysindy==2.1.0
|
| 127 |
+
pyparsing==3.3.2
|
| 128 |
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kiwisolver==1.5.0
|
| 129 |
+
fonttools==4.63.0
|
| 130 |
+
cycler==0.12.1
|
| 131 |
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contourpy==1.3.3
|
| 132 |
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matplotlib==3.11.0
|
| 133 |
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sortedcontainers==2.4.0
|
| 134 |
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wcwidth==0.8.2
|
| 135 |
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sigfig==1.3.19
|
| 136 |
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importlib_resources==7.1.0
|
| 137 |
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enum-tools==0.13.0
|
| 138 |
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cramjam==2.11.0
|
| 139 |
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python-snappy==0.7.3
|
| 140 |
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compact-json==1.8.2
|
| 141 |
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numbers-parser==4.18.5
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epfl_final/SparseAtt/wandb/run-20260707_034612-dbtl6d2o/files/wandb-metadata.json
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|
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|
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|
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|
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|
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|
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|
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|
|
| 1 |
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{
|
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| 8 |
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| 9 |
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| 56 |
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"memoryTotal": "85520809984",
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"writerId": "pshvol8uz8dob4317u34eye2nenfzbrv"
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epfl_final/SparseAtt/wandb/run-20260707_034612-dbtl6d2o/logs/debug-internal.log
ADDED
|
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|
epfl_final/SparseAtt/wandb/run-20260707_034612-dbtl6d2o/logs/debug.log
ADDED
|
@@ -0,0 +1,19 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2026-07-07 03:46:12,563 INFO MainThread:1645 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
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| 2 |
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2026-07-07 03:46:12,563 INFO MainThread:1645 [wandb_setup.py:_flush():81] Configure stats pid to 1645
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| 3 |
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2026-07-07 03:46:12,563 INFO MainThread:1645 [wandb_setup.py:_flush():81] Loading settings from environment variables
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2026-07-07 03:46:12,563 INFO MainThread:1645 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /mloscratch/homes/navasard/sparse/SparseAtt/wandb/run-20260707_034612-dbtl6d2o/logs/debug.log
|
| 5 |
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2026-07-07 03:46:12,563 INFO MainThread:1645 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /mloscratch/homes/navasard/sparse/SparseAtt/wandb/run-20260707_034612-dbtl6d2o/logs/debug-internal.log
|
| 6 |
+
2026-07-07 03:46:12,563 INFO MainThread:1645 [wandb_init.py:init():850] calling init triggers
|
| 7 |
+
2026-07-07 03:46:12,563 INFO MainThread:1645 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'model_path': '/mloscratch/homes/navasard/qwen3_06b_base', 'model_dtype': 'bfloat16', 'init_from_scratch': True, 'train_path': '/mloscratch/homes/navasard/data/fineweb_large/tokenized', 'val_path': None, 'max_seq_length': 8192, 'num_workers': 8, 'output_dir': '/mloscratch/homes/navasard/sparse/checkpoints/l8k365m_fixed_s1/run_20260707_034557', 'resume_from_checkpoint': None, 'force_new_run': True, 'num_epochs': 1, 'max_steps': 44000, 'per_device_batch_size': 2, 'gradient_accumulation_steps': 10, 'learning_rate': 0.0005, 'weight_decay': 0.01, 'warmup_steps': 750, 'lr_scheduler': 'cosine', 'max_grad_norm': 1.0, 'save_steps': 1000, 'eval_steps': 250, 'eval_batches': 50, 'logging_steps': 10, 'seed': 42, 'verbose': True, 'checkpoint_activations': False, 'strategy': 'ddp', 'mixed_precision': 'bf16', 'wandb_enabled': True, 'wandb_project': 'stochastic_sparsity', 'wandb_name': '365m fixed s1 8k', 'wandb_tags': ['qwen3', '365m', '8k', 'scaleladder', 'fixed', 'seed1'], 'hidden_size': 768, 'intermediate_size': 3072, 'num_attention_heads': 6, 'num_key_value_heads': 2, 'num_hidden_layers': 28, 'head_dim': None, 'attention_type': 'sparse_stochastic', 'sparse_block_size': 128, 'sparse_num_random_blocks': 31, 'sparse_mask_pool_size': 1, 'sparse_val_dense_compare': False, 'sparse_layer_indices': None, 'sparse_mask_cache_dir': '/mloscratch/homes/navasard/sparse/mask_cache_8k_fixed_s1', 'sparse_mask_seed': 1, 'dense_mode': False, 'dense_step_intervals': None, '_wandb': {}}
|
| 9 |
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2026-07-07 03:46:12,563 INFO MainThread:1645 [wandb_init.py:init():898] starting backend
|
| 10 |
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2026-07-07 03:46:13,061 INFO MainThread:1645 [wandb_init.py:init():913] sending inform_init request
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| 11 |
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2026-07-07 03:46:13,474 INFO MainThread:1645 [wandb_init.py:init():918] backend started and connected
|
| 12 |
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2026-07-07 03:46:13,475 INFO MainThread:1645 [wandb_init.py:init():988] updated telemetry
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2026-07-07 03:46:13,500 INFO MainThread:1645 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
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| 14 |
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2026-07-07 03:46:14,109 INFO MainThread:1645 [wandb_init.py:init():1056] starting run threads in backend
|
| 15 |
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2026-07-07 03:46:14,262 INFO MainThread:1645 [wandb_run.py:_console_start():2554] atexit reg
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2026-07-07 03:46:14,262 INFO MainThread:1645 [wandb_run.py:_redirect():2403] redirect: wrap_raw
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| 17 |
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2026-07-07 03:46:14,262 INFO MainThread:1645 [wandb_run.py:_redirect():2472] Wrapping output streams.
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| 18 |
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2026-07-07 03:46:14,262 INFO MainThread:1645 [wandb_run.py:_redirect():2495] Redirects installed.
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| 19 |
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2026-07-07 03:46:14,265 INFO MainThread:1645 [wandb_init.py:init():1094] run started, returning control to user process
|
epfl_final/SparseAtt/wandb/run-20260707_034612-dbtl6d2o/run-dbtl6d2o.wandb
ADDED
|
@@ -0,0 +1,3 @@
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|
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+
version https://git-lfs.github.com/spec/v1
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epfl_final/SparseAtt/wandb/run-20260707_034612-qlqhc3gy/files/output.log
ADDED
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epfl_final/SparseAtt/wandb/run-20260707_034612-qlqhc3gy/files/requirements.txt
ADDED
|
@@ -0,0 +1,141 @@
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|
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|
|
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|
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|
|
|
|
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|
|
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|
|
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|
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|
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|
|
|
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|
|
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|
|
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|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
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|
|
|
|
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|
|
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|
|
|
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|
|
|
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|
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|
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|
|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
pip==26.0.1
|
| 2 |
+
nvidia-cusparselt-cu13==0.8.0
|
| 3 |
+
mpmath==1.3.0
|
| 4 |
+
cuda-toolkit==13.0.2
|
| 5 |
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zstandard==0.25.0
|
| 6 |
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xxhash==3.7.0
|
| 7 |
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urllib3==2.6.3
|
| 8 |
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typing_extensions==4.15.0
|
| 9 |
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triton==3.6.0
|
| 10 |
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tqdm==4.67.3
|
| 11 |
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torchinfo==1.8.0
|
| 12 |
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sympy==1.14.0
|
| 13 |
+
smmap==5.0.3
|
| 14 |
+
six==1.17.0
|
| 15 |
+
shellingham==1.5.4
|
| 16 |
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setuptools==81.0.0
|
| 17 |
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safetensors==0.7.0
|
| 18 |
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regex==2026.4.4
|
| 19 |
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PyYAML==6.0.3
|
| 20 |
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Pygments==2.20.0
|
| 21 |
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pyarrow==24.0.0
|
| 22 |
+
psutil==7.2.2
|
| 23 |
+
protobuf==7.34.1
|
| 24 |
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propcache==0.4.1
|
| 25 |
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platformdirs==4.9.6
|
| 26 |
+
packaging==26.2
|
| 27 |
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nvidia-nvtx==13.0.85
|
| 28 |
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nvidia-nvshmem-cu13==3.4.5
|
| 29 |
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nvidia-nvjitlink==13.0.88
|
| 30 |
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nvidia-nccl-cu13==2.28.9
|
| 31 |
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nvidia-curand==10.4.0.35
|
| 32 |
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nvidia-cufile==1.15.1.6
|
| 33 |
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nvidia-cuda-runtime==13.0.96
|
| 34 |
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nvidia-cuda-nvrtc==13.0.88
|
| 35 |
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nvidia-cuda-cupti==13.0.85
|
| 36 |
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nvidia-cublas==13.1.0.3
|
| 37 |
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numpy==2.4.4
|
| 38 |
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networkx==3.6.1
|
| 39 |
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multidict==6.7.1
|
| 40 |
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mdurl==0.1.2
|
| 41 |
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MarkupSafe==3.0.3
|
| 42 |
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idna==3.13
|
| 43 |
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hf-xet==1.4.3
|
| 44 |
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h11==0.16.0
|
| 45 |
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fsspec==2026.2.0
|
| 46 |
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frozenlist==1.8.0
|
| 47 |
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filelock==3.29.0
|
| 48 |
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dill==0.4.1
|
| 49 |
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cuda-pathfinder==1.5.4
|
| 50 |
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click==8.3.3
|
| 51 |
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charset-normalizer==3.4.7
|
| 52 |
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certifi==2026.4.22
|
| 53 |
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attrs==26.1.0
|
| 54 |
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annotated-types==0.7.0
|
| 55 |
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annotated-doc==0.0.4
|
| 56 |
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aiohappyeyeballs==2.6.1
|
| 57 |
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yarl==1.23.0
|
| 58 |
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typing-inspection==0.4.2
|
| 59 |
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sentry-sdk==2.58.0
|
| 60 |
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requests==2.33.1
|
| 61 |
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python-dateutil==2.9.0.post0
|
| 62 |
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pydantic_core==2.46.3
|
| 63 |
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nvidia-cusparse==12.6.3.3
|
| 64 |
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nvidia-cufft==12.0.0.61
|
| 65 |
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nvidia-cudnn-cu13==9.19.0.56
|
| 66 |
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multiprocess==0.70.19
|
| 67 |
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markdown-it-py==4.0.0
|
| 68 |
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Jinja2==3.1.6
|
| 69 |
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httpcore==1.0.9
|
| 70 |
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gitdb==4.0.12
|
| 71 |
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cuda-bindings==13.2.0
|
| 72 |
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anyio==4.13.0
|
| 73 |
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aiosignal==1.4.0
|
| 74 |
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rich==15.0.0
|
| 75 |
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pydantic==2.13.3
|
| 76 |
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pandas==3.0.2
|
| 77 |
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nvidia-cusolver==12.0.4.66
|
| 78 |
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httpx==0.28.1
|
| 79 |
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GitPython==3.1.49
|
| 80 |
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aiohttp==3.13.5
|
| 81 |
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wandb==0.26.1
|
| 82 |
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typer==0.25.1
|
| 83 |
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torch==2.11.0
|
| 84 |
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huggingface_hub==1.13.0
|
| 85 |
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tokenizers==0.22.2
|
| 86 |
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datasets==4.8.5
|
| 87 |
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accelerate==1.13.0
|
| 88 |
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transformers==5.7.0
|
| 89 |
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word2number==1.1
|
| 90 |
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sqlitedict==2.1.0
|
| 91 |
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pytz==2026.2
|
| 92 |
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threadpoolctl==3.6.0
|
| 93 |
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tcolorpy==0.1.7
|
| 94 |
+
tabulate==0.10.0
|
| 95 |
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scipy==1.17.1
|
| 96 |
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portalocker==3.2.0
|
| 97 |
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pathvalidate==3.3.1
|
| 98 |
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narwhals==2.22.1
|
| 99 |
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more-itertools==11.1.0
|
| 100 |
+
lxml==6.1.1
|
| 101 |
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joblib==1.5.3
|
| 102 |
+
colorama==0.4.6
|
| 103 |
+
chardet==6.0.0.post1
|
| 104 |
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absl-py==2.4.0
|
| 105 |
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scikit-learn==1.9.0
|
| 106 |
+
sacrebleu==2.6.0
|
| 107 |
+
nltk==3.9.4
|
| 108 |
+
mbstrdecoder==1.1.5
|
| 109 |
+
typepy==1.3.5
|
| 110 |
+
rouge_score==0.1.2
|
| 111 |
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DataProperty==1.1.1
|
| 112 |
+
tabledata==1.3.5
|
| 113 |
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evaluate==0.4.6
|
| 114 |
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pytablewriter==1.2.1
|
| 115 |
+
lm_eval==0.4.12
|
| 116 |
+
pluggy==1.6.0
|
| 117 |
+
iniconfig==2.3.0
|
| 118 |
+
pytest==9.1.0
|
| 119 |
+
py-spy==0.4.2
|
| 120 |
+
pillow==12.2.0
|
| 121 |
+
tifffile==2026.6.1
|
| 122 |
+
imagecodecs==2026.6.26
|
| 123 |
+
zipp==4.1.0
|
| 124 |
+
importlib_metadata==9.0.0
|
| 125 |
+
derivative==0.6.3
|
| 126 |
+
pysindy==2.1.0
|
| 127 |
+
pyparsing==3.3.2
|
| 128 |
+
kiwisolver==1.5.0
|
| 129 |
+
fonttools==4.63.0
|
| 130 |
+
cycler==0.12.1
|
| 131 |
+
contourpy==1.3.3
|
| 132 |
+
matplotlib==3.11.0
|
| 133 |
+
sortedcontainers==2.4.0
|
| 134 |
+
wcwidth==0.8.2
|
| 135 |
+
sigfig==1.3.19
|
| 136 |
+
importlib_resources==7.1.0
|
| 137 |
+
enum-tools==0.13.0
|
| 138 |
+
cramjam==2.11.0
|
| 139 |
+
python-snappy==0.7.3
|
| 140 |
+
compact-json==1.8.2
|
| 141 |
+
numbers-parser==4.18.5
|
epfl_final/SparseAtt/wandb/run-20260707_034612-qlqhc3gy/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-124-generic-x86_64-with-glibc2.35",
|
| 3 |
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"python": "CPython 3.13.13",
|
| 4 |
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"startedAt": "2026-07-07T03:46:12.553802Z",
|
| 5 |
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"args": [
|
| 6 |
+
"--config",
|
| 7 |
+
"configs/ladder8k/dense.json"
|
| 8 |
+
],
|
| 9 |
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"program": "/mloscratch/homes/navasard/sparse/SparseAtt/train.py",
|
| 10 |
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"codePath": "train.py",
|
| 11 |
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"codePathLocal": "train.py",
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| 12 |
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"git": {
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| 13 |
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"remote": "https://github.com/rubentium/TokenPrune.git",
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| 14 |
+
"commit": "88298c7a418622530ca5426b22b1e5ebd10ca0cb"
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| 15 |
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},
|
| 16 |
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"email": "ruben.navasardyan@mail.utoronto.ca",
|
| 17 |
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"root": "/mloscratch/homes/navasard/sparse/SparseAtt",
|
| 18 |
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"host": "h100-workspace-4-gpu-0-3",
|
| 19 |
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"executable": "/mloscratch/homes/navasard/conda/bin/python",
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| 20 |
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"cpu_count": 96,
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| 21 |
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|
| 22 |
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| 23 |
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|
| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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{
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| 35 |
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| 36 |
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"uuid": "GPU-32209e2e-7887-e730-7611-251622a8e78f"
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| 40 |
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| 41 |
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{
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| 42 |
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"name": "NVIDIA H100 80GB HBM3",
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| 43 |
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"memoryTotal": "85520809984",
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| 44 |
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"architecture": "Hopper",
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| 46 |
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"uuid": "GPU-3512802a-d501-0a3c-9812-4ab9deb3a3a9"
|
| 47 |
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},
|
| 48 |
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{
|
| 49 |
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"name": "NVIDIA H100 80GB HBM3",
|
| 50 |
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"memoryTotal": "85520809984",
|
| 51 |
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"cudaCores": 16896,
|
| 52 |
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"architecture": "Hopper",
|
| 53 |
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"uuid": "GPU-24436def-beee-c9f1-bd05-c97df556de08"
|
| 54 |
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},
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| 55 |
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{
|
| 56 |
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"name": "NVIDIA H100 80GB HBM3",
|
| 57 |
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"memoryTotal": "85520809984",
|
| 58 |
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"cudaCores": 16896,
|
| 59 |
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"architecture": "Hopper",
|
| 60 |
+
"uuid": "GPU-7b827c86-854a-af51-b5d3-6aaa43307d4a"
|
| 61 |
+
}
|
| 62 |
+
],
|
| 63 |
+
"cudaVersion": "13.0",
|
| 64 |
+
"writerId": "nr3m1w28gapfkpp85vqvqpmvjw2v1ibh"
|
| 65 |
+
}
|
epfl_final/SparseAtt/wandb/run-20260707_034612-qlqhc3gy/logs/debug-internal.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
epfl_final/SparseAtt/wandb/run-20260707_034612-qlqhc3gy/logs/debug.log
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2026-07-07 03:46:12,571 INFO MainThread:1624 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
|
| 2 |
+
2026-07-07 03:46:12,572 INFO MainThread:1624 [wandb_setup.py:_flush():81] Configure stats pid to 1624
|
| 3 |
+
2026-07-07 03:46:12,572 INFO MainThread:1624 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
+
2026-07-07 03:46:12,572 INFO MainThread:1624 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /mloscratch/homes/navasard/sparse/SparseAtt/wandb/run-20260707_034612-qlqhc3gy/logs/debug.log
|
| 5 |
+
2026-07-07 03:46:12,572 INFO MainThread:1624 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /mloscratch/homes/navasard/sparse/SparseAtt/wandb/run-20260707_034612-qlqhc3gy/logs/debug-internal.log
|
| 6 |
+
2026-07-07 03:46:12,572 INFO MainThread:1624 [wandb_init.py:init():850] calling init triggers
|
| 7 |
+
2026-07-07 03:46:12,572 INFO MainThread:1624 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'model_path': '/mloscratch/homes/navasard/qwen3_06b_base', 'model_dtype': 'bfloat16', 'init_from_scratch': True, 'train_path': '/mloscratch/homes/navasard/data/fineweb_large/tokenized', 'val_path': None, 'max_seq_length': 8192, 'num_workers': 8, 'output_dir': '/mloscratch/homes/navasard/sparse/checkpoints/l8k365m_dense/run_20260707_034553', 'resume_from_checkpoint': None, 'force_new_run': True, 'num_epochs': 1, 'max_steps': 44000, 'per_device_batch_size': 2, 'gradient_accumulation_steps': 10, 'learning_rate': 0.0005, 'weight_decay': 0.01, 'warmup_steps': 750, 'lr_scheduler': 'cosine', 'max_grad_norm': 1.0, 'save_steps': 1000, 'eval_steps': 250, 'eval_batches': 50, 'logging_steps': 10, 'seed': 42, 'verbose': True, 'checkpoint_activations': False, 'strategy': 'ddp', 'mixed_precision': 'bf16', 'wandb_enabled': True, 'wandb_project': 'stochastic_sparsity', 'wandb_name': '365m dense 8k', 'wandb_tags': ['qwen3', '365m', '8k', 'scaleladder', 'dense'], 'hidden_size': 768, 'intermediate_size': 3072, 'num_attention_heads': 6, 'num_key_value_heads': 2, 'num_hidden_layers': 28, 'head_dim': None, 'attention_type': 'sparse_stochastic', 'sparse_block_size': 128, 'sparse_num_random_blocks': 31, 'sparse_mask_pool_size': 1, 'sparse_val_dense_compare': False, 'sparse_layer_indices': None, 'sparse_mask_cache_dir': None, 'sparse_mask_seed': 0, 'dense_mode': True, 'dense_step_intervals': None, '_wandb': {}}
|
| 9 |
+
2026-07-07 03:46:12,572 INFO MainThread:1624 [wandb_init.py:init():898] starting backend
|
| 10 |
+
2026-07-07 03:46:13,061 INFO MainThread:1624 [wandb_init.py:init():913] sending inform_init request
|
| 11 |
+
2026-07-07 03:46:13,472 INFO MainThread:1624 [wandb_init.py:init():918] backend started and connected
|
| 12 |
+
2026-07-07 03:46:13,474 INFO MainThread:1624 [wandb_init.py:init():988] updated telemetry
|
| 13 |
+
2026-07-07 03:46:13,500 INFO MainThread:1624 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
|
| 14 |
+
2026-07-07 03:46:13,950 INFO MainThread:1624 [wandb_init.py:init():1056] starting run threads in backend
|
| 15 |
+
2026-07-07 03:46:14,086 INFO MainThread:1624 [wandb_run.py:_console_start():2554] atexit reg
|
| 16 |
+
2026-07-07 03:46:14,086 INFO MainThread:1624 [wandb_run.py:_redirect():2403] redirect: wrap_raw
|
| 17 |
+
2026-07-07 03:46:14,086 INFO MainThread:1624 [wandb_run.py:_redirect():2472] Wrapping output streams.
|
| 18 |
+
2026-07-07 03:46:14,086 INFO MainThread:1624 [wandb_run.py:_redirect():2495] Redirects installed.
|
| 19 |
+
2026-07-07 03:46:14,093 INFO MainThread:1624 [wandb_init.py:init():1094] run started, returning control to user process
|
epfl_final/SparseAtt/wandb/run-20260707_034612-qlqhc3gy/run-qlqhc3gy.wandb
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e928a30b3653d98729d981e5974e4ce60b1a09e17c1647c840fd6104778775f9
|
| 3 |
+
size 7471104
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epfl_final/SparseAtt/wandb/run-20260707_034618-lgjoqt2r/files/output.log
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epfl_final/SparseAtt/wandb/run-20260707_034618-lgjoqt2r/files/requirements.txt
ADDED
|
@@ -0,0 +1,141 @@
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|
| 1 |
+
pip==26.0.1
|
| 2 |
+
nvidia-cusparselt-cu13==0.8.0
|
| 3 |
+
mpmath==1.3.0
|
| 4 |
+
cuda-toolkit==13.0.2
|
| 5 |
+
zstandard==0.25.0
|
| 6 |
+
xxhash==3.7.0
|
| 7 |
+
urllib3==2.6.3
|
| 8 |
+
typing_extensions==4.15.0
|
| 9 |
+
triton==3.6.0
|
| 10 |
+
tqdm==4.67.3
|
| 11 |
+
torchinfo==1.8.0
|
| 12 |
+
sympy==1.14.0
|
| 13 |
+
smmap==5.0.3
|
| 14 |
+
six==1.17.0
|
| 15 |
+
shellingham==1.5.4
|
| 16 |
+
setuptools==81.0.0
|
| 17 |
+
safetensors==0.7.0
|
| 18 |
+
regex==2026.4.4
|
| 19 |
+
PyYAML==6.0.3
|
| 20 |
+
Pygments==2.20.0
|
| 21 |
+
pyarrow==24.0.0
|
| 22 |
+
psutil==7.2.2
|
| 23 |
+
protobuf==7.34.1
|
| 24 |
+
propcache==0.4.1
|
| 25 |
+
platformdirs==4.9.6
|
| 26 |
+
packaging==26.2
|
| 27 |
+
nvidia-nvtx==13.0.85
|
| 28 |
+
nvidia-nvshmem-cu13==3.4.5
|
| 29 |
+
nvidia-nvjitlink==13.0.88
|
| 30 |
+
nvidia-nccl-cu13==2.28.9
|
| 31 |
+
nvidia-curand==10.4.0.35
|
| 32 |
+
nvidia-cufile==1.15.1.6
|
| 33 |
+
nvidia-cuda-runtime==13.0.96
|
| 34 |
+
nvidia-cuda-nvrtc==13.0.88
|
| 35 |
+
nvidia-cuda-cupti==13.0.85
|
| 36 |
+
nvidia-cublas==13.1.0.3
|
| 37 |
+
numpy==2.4.4
|
| 38 |
+
networkx==3.6.1
|
| 39 |
+
multidict==6.7.1
|
| 40 |
+
mdurl==0.1.2
|
| 41 |
+
MarkupSafe==3.0.3
|
| 42 |
+
idna==3.13
|
| 43 |
+
hf-xet==1.4.3
|
| 44 |
+
h11==0.16.0
|
| 45 |
+
fsspec==2026.2.0
|
| 46 |
+
frozenlist==1.8.0
|
| 47 |
+
filelock==3.29.0
|
| 48 |
+
dill==0.4.1
|
| 49 |
+
cuda-pathfinder==1.5.4
|
| 50 |
+
click==8.3.3
|
| 51 |
+
charset-normalizer==3.4.7
|
| 52 |
+
certifi==2026.4.22
|
| 53 |
+
attrs==26.1.0
|
| 54 |
+
annotated-types==0.7.0
|
| 55 |
+
annotated-doc==0.0.4
|
| 56 |
+
aiohappyeyeballs==2.6.1
|
| 57 |
+
yarl==1.23.0
|
| 58 |
+
typing-inspection==0.4.2
|
| 59 |
+
sentry-sdk==2.58.0
|
| 60 |
+
requests==2.33.1
|
| 61 |
+
python-dateutil==2.9.0.post0
|
| 62 |
+
pydantic_core==2.46.3
|
| 63 |
+
nvidia-cusparse==12.6.3.3
|
| 64 |
+
nvidia-cufft==12.0.0.61
|
| 65 |
+
nvidia-cudnn-cu13==9.19.0.56
|
| 66 |
+
multiprocess==0.70.19
|
| 67 |
+
markdown-it-py==4.0.0
|
| 68 |
+
Jinja2==3.1.6
|
| 69 |
+
httpcore==1.0.9
|
| 70 |
+
gitdb==4.0.12
|
| 71 |
+
cuda-bindings==13.2.0
|
| 72 |
+
anyio==4.13.0
|
| 73 |
+
aiosignal==1.4.0
|
| 74 |
+
rich==15.0.0
|
| 75 |
+
pydantic==2.13.3
|
| 76 |
+
pandas==3.0.2
|
| 77 |
+
nvidia-cusolver==12.0.4.66
|
| 78 |
+
httpx==0.28.1
|
| 79 |
+
GitPython==3.1.49
|
| 80 |
+
aiohttp==3.13.5
|
| 81 |
+
wandb==0.26.1
|
| 82 |
+
typer==0.25.1
|
| 83 |
+
torch==2.11.0
|
| 84 |
+
huggingface_hub==1.13.0
|
| 85 |
+
tokenizers==0.22.2
|
| 86 |
+
datasets==4.8.5
|
| 87 |
+
accelerate==1.13.0
|
| 88 |
+
transformers==5.7.0
|
| 89 |
+
word2number==1.1
|
| 90 |
+
sqlitedict==2.1.0
|
| 91 |
+
pytz==2026.2
|
| 92 |
+
threadpoolctl==3.6.0
|
| 93 |
+
tcolorpy==0.1.7
|
| 94 |
+
tabulate==0.10.0
|
| 95 |
+
scipy==1.17.1
|
| 96 |
+
portalocker==3.2.0
|
| 97 |
+
pathvalidate==3.3.1
|
| 98 |
+
narwhals==2.22.1
|
| 99 |
+
more-itertools==11.1.0
|
| 100 |
+
lxml==6.1.1
|
| 101 |
+
joblib==1.5.3
|
| 102 |
+
colorama==0.4.6
|
| 103 |
+
chardet==6.0.0.post1
|
| 104 |
+
absl-py==2.4.0
|
| 105 |
+
scikit-learn==1.9.0
|
| 106 |
+
sacrebleu==2.6.0
|
| 107 |
+
nltk==3.9.4
|
| 108 |
+
mbstrdecoder==1.1.5
|
| 109 |
+
typepy==1.3.5
|
| 110 |
+
rouge_score==0.1.2
|
| 111 |
+
DataProperty==1.1.1
|
| 112 |
+
tabledata==1.3.5
|
| 113 |
+
evaluate==0.4.6
|
| 114 |
+
pytablewriter==1.2.1
|
| 115 |
+
lm_eval==0.4.12
|
| 116 |
+
pluggy==1.6.0
|
| 117 |
+
iniconfig==2.3.0
|
| 118 |
+
pytest==9.1.0
|
| 119 |
+
py-spy==0.4.2
|
| 120 |
+
pillow==12.2.0
|
| 121 |
+
tifffile==2026.6.1
|
| 122 |
+
imagecodecs==2026.6.26
|
| 123 |
+
zipp==4.1.0
|
| 124 |
+
importlib_metadata==9.0.0
|
| 125 |
+
derivative==0.6.3
|
| 126 |
+
pysindy==2.1.0
|
| 127 |
+
pyparsing==3.3.2
|
| 128 |
+
kiwisolver==1.5.0
|
| 129 |
+
fonttools==4.63.0
|
| 130 |
+
cycler==0.12.1
|
| 131 |
+
contourpy==1.3.3
|
| 132 |
+
matplotlib==3.11.0
|
| 133 |
+
sortedcontainers==2.4.0
|
| 134 |
+
wcwidth==0.8.2
|
| 135 |
+
sigfig==1.3.19
|
| 136 |
+
importlib_resources==7.1.0
|
| 137 |
+
enum-tools==0.13.0
|
| 138 |
+
cramjam==2.11.0
|
| 139 |
+
python-snappy==0.7.3
|
| 140 |
+
compact-json==1.8.2
|
| 141 |
+
numbers-parser==4.18.5
|
epfl_final/SparseAtt/wandb/run-20260707_034618-lgjoqt2r/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,65 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-124-generic-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.13.13",
|
| 4 |
+
"startedAt": "2026-07-07T03:46:18.640673Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"--config",
|
| 7 |
+
"configs/ladder8k/fixed_s2.json"
|
| 8 |
+
],
|
| 9 |
+
"program": "/mloscratch/homes/navasard/sparse/SparseAtt/train.py",
|
| 10 |
+
"codePath": "train.py",
|
| 11 |
+
"codePathLocal": "train.py",
|
| 12 |
+
"git": {
|
| 13 |
+
"remote": "https://github.com/rubentium/TokenPrune.git",
|
| 14 |
+
"commit": "88298c7a418622530ca5426b22b1e5ebd10ca0cb"
|
| 15 |
+
},
|
| 16 |
+
"email": "ruben.navasardyan@mail.utoronto.ca",
|
| 17 |
+
"root": "/mloscratch/homes/navasard/sparse/SparseAtt",
|
| 18 |
+
"host": "h100-workspace-4-gpu-0-3",
|
| 19 |
+
"executable": "/mloscratch/homes/navasard/conda/bin/python",
|
| 20 |
+
"cpu_count": 96,
|
| 21 |
+
"cpu_count_logical": 192,
|
| 22 |
+
"gpu": "NVIDIA H100 80GB HBM3",
|
| 23 |
+
"gpu_count": 4,
|
| 24 |
+
"disk": {
|
| 25 |
+
"/": {
|
| 26 |
+
"total": "9374931091456",
|
| 27 |
+
"used": "4305978998784"
|
| 28 |
+
}
|
| 29 |
+
},
|
| 30 |
+
"memory": {
|
| 31 |
+
"total": "1623005626368"
|
| 32 |
+
},
|
| 33 |
+
"gpu_nvidia": [
|
| 34 |
+
{
|
| 35 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 36 |
+
"memoryTotal": "85520809984",
|
| 37 |
+
"cudaCores": 16896,
|
| 38 |
+
"architecture": "Hopper",
|
| 39 |
+
"uuid": "GPU-32209e2e-7887-e730-7611-251622a8e78f"
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 43 |
+
"memoryTotal": "85520809984",
|
| 44 |
+
"cudaCores": 16896,
|
| 45 |
+
"architecture": "Hopper",
|
| 46 |
+
"uuid": "GPU-3512802a-d501-0a3c-9812-4ab9deb3a3a9"
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 50 |
+
"memoryTotal": "85520809984",
|
| 51 |
+
"cudaCores": 16896,
|
| 52 |
+
"architecture": "Hopper",
|
| 53 |
+
"uuid": "GPU-24436def-beee-c9f1-bd05-c97df556de08"
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 57 |
+
"memoryTotal": "85520809984",
|
| 58 |
+
"cudaCores": 16896,
|
| 59 |
+
"architecture": "Hopper",
|
| 60 |
+
"uuid": "GPU-7b827c86-854a-af51-b5d3-6aaa43307d4a"
|
| 61 |
+
}
|
| 62 |
+
],
|
| 63 |
+
"cudaVersion": "13.0",
|
| 64 |
+
"writerId": "ltvtzeq1atzmbc89sj99r4h5hmko91t8"
|
| 65 |
+
}
|
epfl_final/SparseAtt/wandb/run-20260707_034618-lgjoqt2r/logs/debug-internal.log
ADDED
|
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See raw diff
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|
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epfl_final/SparseAtt/wandb/run-20260707_034618-lgjoqt2r/logs/debug.log
ADDED
|
@@ -0,0 +1,19 @@
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|
| 1 |
+
2026-07-07 03:46:18,657 INFO MainThread:1656 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
|
| 2 |
+
2026-07-07 03:46:18,657 INFO MainThread:1656 [wandb_setup.py:_flush():81] Configure stats pid to 1656
|
| 3 |
+
2026-07-07 03:46:18,657 INFO MainThread:1656 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
+
2026-07-07 03:46:18,657 INFO MainThread:1656 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /mloscratch/homes/navasard/sparse/SparseAtt/wandb/run-20260707_034618-lgjoqt2r/logs/debug.log
|
| 5 |
+
2026-07-07 03:46:18,657 INFO MainThread:1656 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /mloscratch/homes/navasard/sparse/SparseAtt/wandb/run-20260707_034618-lgjoqt2r/logs/debug-internal.log
|
| 6 |
+
2026-07-07 03:46:18,657 INFO MainThread:1656 [wandb_init.py:init():850] calling init triggers
|
| 7 |
+
2026-07-07 03:46:18,657 INFO MainThread:1656 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'model_path': '/mloscratch/homes/navasard/qwen3_06b_base', 'model_dtype': 'bfloat16', 'init_from_scratch': True, 'train_path': '/mloscratch/homes/navasard/data/fineweb_large/tokenized', 'val_path': None, 'max_seq_length': 8192, 'num_workers': 8, 'output_dir': '/mloscratch/homes/navasard/sparse/checkpoints/l8k365m_fixed_s2/run_20260707_034600', 'resume_from_checkpoint': None, 'force_new_run': True, 'num_epochs': 1, 'max_steps': 44000, 'per_device_batch_size': 2, 'gradient_accumulation_steps': 10, 'learning_rate': 0.0005, 'weight_decay': 0.01, 'warmup_steps': 750, 'lr_scheduler': 'cosine', 'max_grad_norm': 1.0, 'save_steps': 1000, 'eval_steps': 250, 'eval_batches': 50, 'logging_steps': 10, 'seed': 42, 'verbose': True, 'checkpoint_activations': False, 'strategy': 'ddp', 'mixed_precision': 'bf16', 'wandb_enabled': True, 'wandb_project': 'stochastic_sparsity', 'wandb_name': '365m fixed s2 8k', 'wandb_tags': ['qwen3', '365m', '8k', 'scaleladder', 'fixed', 'seed2'], 'hidden_size': 768, 'intermediate_size': 3072, 'num_attention_heads': 6, 'num_key_value_heads': 2, 'num_hidden_layers': 28, 'head_dim': None, 'attention_type': 'sparse_stochastic', 'sparse_block_size': 128, 'sparse_num_random_blocks': 31, 'sparse_mask_pool_size': 1, 'sparse_val_dense_compare': False, 'sparse_layer_indices': None, 'sparse_mask_cache_dir': '/mloscratch/homes/navasard/sparse/mask_cache_8k_fixed_s2', 'sparse_mask_seed': 2, 'dense_mode': False, 'dense_step_intervals': None, '_wandb': {}}
|
| 9 |
+
2026-07-07 03:46:18,657 INFO MainThread:1656 [wandb_init.py:init():898] starting backend
|
| 10 |
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2026-07-07 03:46:18,891 INFO MainThread:1656 [wandb_init.py:init():913] sending inform_init request
|
| 11 |
+
2026-07-07 03:46:19,186 INFO MainThread:1656 [wandb_init.py:init():918] backend started and connected
|
| 12 |
+
2026-07-07 03:46:19,188 INFO MainThread:1656 [wandb_init.py:init():988] updated telemetry
|
| 13 |
+
2026-07-07 03:46:19,199 INFO MainThread:1656 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
|
| 14 |
+
2026-07-07 03:46:19,616 INFO MainThread:1656 [wandb_init.py:init():1056] starting run threads in backend
|
| 15 |
+
2026-07-07 03:46:19,750 INFO MainThread:1656 [wandb_run.py:_console_start():2554] atexit reg
|
| 16 |
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2026-07-07 03:46:19,750 INFO MainThread:1656 [wandb_run.py:_redirect():2403] redirect: wrap_raw
|
| 17 |
+
2026-07-07 03:46:19,750 INFO MainThread:1656 [wandb_run.py:_redirect():2472] Wrapping output streams.
|
| 18 |
+
2026-07-07 03:46:19,751 INFO MainThread:1656 [wandb_run.py:_redirect():2495] Redirects installed.
|
| 19 |
+
2026-07-07 03:46:19,753 INFO MainThread:1656 [wandb_init.py:init():1094] run started, returning control to user process
|
epfl_final/SparseAtt/wandb/run-20260707_034618-lgjoqt2r/run-lgjoqt2r.wandb
ADDED
|
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|
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|
| 1 |
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|
| 3 |
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epfl_final/SparseAtt/wandb/run-20260707_034748-304r0ilz/files/output.log
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|
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|
|
epfl_final/SparseAtt/wandb/run-20260707_034748-304r0ilz/files/requirements.txt
ADDED
|
@@ -0,0 +1,141 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
pip==26.0.1
|
| 2 |
+
nvidia-cusparselt-cu13==0.8.0
|
| 3 |
+
mpmath==1.3.0
|
| 4 |
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cuda-toolkit==13.0.2
|
| 5 |
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zstandard==0.25.0
|
| 6 |
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xxhash==3.7.0
|
| 7 |
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urllib3==2.6.3
|
| 8 |
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typing_extensions==4.15.0
|
| 9 |
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triton==3.6.0
|
| 10 |
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tqdm==4.67.3
|
| 11 |
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torchinfo==1.8.0
|
| 12 |
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sympy==1.14.0
|
| 13 |
+
smmap==5.0.3
|
| 14 |
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six==1.17.0
|
| 15 |
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shellingham==1.5.4
|
| 16 |
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setuptools==81.0.0
|
| 17 |
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safetensors==0.7.0
|
| 18 |
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regex==2026.4.4
|
| 19 |
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PyYAML==6.0.3
|
| 20 |
+
Pygments==2.20.0
|
| 21 |
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pyarrow==24.0.0
|
| 22 |
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psutil==7.2.2
|
| 23 |
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protobuf==7.34.1
|
| 24 |
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propcache==0.4.1
|
| 25 |
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platformdirs==4.9.6
|
| 26 |
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packaging==26.2
|
| 27 |
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nvidia-nvtx==13.0.85
|
| 28 |
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nvidia-nvshmem-cu13==3.4.5
|
| 29 |
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nvidia-nvjitlink==13.0.88
|
| 30 |
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nvidia-nccl-cu13==2.28.9
|
| 31 |
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nvidia-curand==10.4.0.35
|
| 32 |
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nvidia-cufile==1.15.1.6
|
| 33 |
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nvidia-cuda-runtime==13.0.96
|
| 34 |
+
nvidia-cuda-nvrtc==13.0.88
|
| 35 |
+
nvidia-cuda-cupti==13.0.85
|
| 36 |
+
nvidia-cublas==13.1.0.3
|
| 37 |
+
numpy==2.4.4
|
| 38 |
+
networkx==3.6.1
|
| 39 |
+
multidict==6.7.1
|
| 40 |
+
mdurl==0.1.2
|
| 41 |
+
MarkupSafe==3.0.3
|
| 42 |
+
idna==3.13
|
| 43 |
+
hf-xet==1.4.3
|
| 44 |
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h11==0.16.0
|
| 45 |
+
fsspec==2026.2.0
|
| 46 |
+
frozenlist==1.8.0
|
| 47 |
+
filelock==3.29.0
|
| 48 |
+
dill==0.4.1
|
| 49 |
+
cuda-pathfinder==1.5.4
|
| 50 |
+
click==8.3.3
|
| 51 |
+
charset-normalizer==3.4.7
|
| 52 |
+
certifi==2026.4.22
|
| 53 |
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attrs==26.1.0
|
| 54 |
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annotated-types==0.7.0
|
| 55 |
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annotated-doc==0.0.4
|
| 56 |
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aiohappyeyeballs==2.6.1
|
| 57 |
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yarl==1.23.0
|
| 58 |
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typing-inspection==0.4.2
|
| 59 |
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sentry-sdk==2.58.0
|
| 60 |
+
requests==2.33.1
|
| 61 |
+
python-dateutil==2.9.0.post0
|
| 62 |
+
pydantic_core==2.46.3
|
| 63 |
+
nvidia-cusparse==12.6.3.3
|
| 64 |
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nvidia-cufft==12.0.0.61
|
| 65 |
+
nvidia-cudnn-cu13==9.19.0.56
|
| 66 |
+
multiprocess==0.70.19
|
| 67 |
+
markdown-it-py==4.0.0
|
| 68 |
+
Jinja2==3.1.6
|
| 69 |
+
httpcore==1.0.9
|
| 70 |
+
gitdb==4.0.12
|
| 71 |
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cuda-bindings==13.2.0
|
| 72 |
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anyio==4.13.0
|
| 73 |
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aiosignal==1.4.0
|
| 74 |
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rich==15.0.0
|
| 75 |
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pydantic==2.13.3
|
| 76 |
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pandas==3.0.2
|
| 77 |
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nvidia-cusolver==12.0.4.66
|
| 78 |
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httpx==0.28.1
|
| 79 |
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GitPython==3.1.49
|
| 80 |
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aiohttp==3.13.5
|
| 81 |
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wandb==0.26.1
|
| 82 |
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typer==0.25.1
|
| 83 |
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torch==2.11.0
|
| 84 |
+
huggingface_hub==1.13.0
|
| 85 |
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tokenizers==0.22.2
|
| 86 |
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datasets==4.8.5
|
| 87 |
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accelerate==1.13.0
|
| 88 |
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transformers==5.7.0
|
| 89 |
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word2number==1.1
|
| 90 |
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sqlitedict==2.1.0
|
| 91 |
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pytz==2026.2
|
| 92 |
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threadpoolctl==3.6.0
|
| 93 |
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tcolorpy==0.1.7
|
| 94 |
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tabulate==0.10.0
|
| 95 |
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scipy==1.17.1
|
| 96 |
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portalocker==3.2.0
|
| 97 |
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pathvalidate==3.3.1
|
| 98 |
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narwhals==2.22.1
|
| 99 |
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more-itertools==11.1.0
|
| 100 |
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lxml==6.1.1
|
| 101 |
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joblib==1.5.3
|
| 102 |
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colorama==0.4.6
|
| 103 |
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chardet==6.0.0.post1
|
| 104 |
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absl-py==2.4.0
|
| 105 |
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scikit-learn==1.9.0
|
| 106 |
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sacrebleu==2.6.0
|
| 107 |
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nltk==3.9.4
|
| 108 |
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mbstrdecoder==1.1.5
|
| 109 |
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typepy==1.3.5
|
| 110 |
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rouge_score==0.1.2
|
| 111 |
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DataProperty==1.1.1
|
| 112 |
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tabledata==1.3.5
|
| 113 |
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evaluate==0.4.6
|
| 114 |
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pytablewriter==1.2.1
|
| 115 |
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lm_eval==0.4.12
|
| 116 |
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pluggy==1.6.0
|
| 117 |
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iniconfig==2.3.0
|
| 118 |
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pytest==9.1.0
|
| 119 |
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py-spy==0.4.2
|
| 120 |
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pillow==12.2.0
|
| 121 |
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tifffile==2026.6.1
|
| 122 |
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imagecodecs==2026.6.26
|
| 123 |
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zipp==4.1.0
|
| 124 |
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importlib_metadata==9.0.0
|
| 125 |
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derivative==0.6.3
|
| 126 |
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pysindy==2.1.0
|
| 127 |
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pyparsing==3.3.2
|
| 128 |
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kiwisolver==1.5.0
|
| 129 |
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fonttools==4.63.0
|
| 130 |
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cycler==0.12.1
|
| 131 |
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contourpy==1.3.3
|
| 132 |
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matplotlib==3.11.0
|
| 133 |
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sortedcontainers==2.4.0
|
| 134 |
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wcwidth==0.8.2
|
| 135 |
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sigfig==1.3.19
|
| 136 |
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importlib_resources==7.1.0
|
| 137 |
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enum-tools==0.13.0
|
| 138 |
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cramjam==2.11.0
|
| 139 |
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python-snappy==0.7.3
|
| 140 |
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compact-json==1.8.2
|
| 141 |
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numbers-parser==4.18.5
|
epfl_final/SparseAtt/wandb/run-20260707_034748-304r0ilz/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
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|
|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-124-generic-x86_64-with-glibc2.35",
|
| 3 |
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"python": "CPython 3.13.13",
|
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"startedAt": "2026-07-07T03:47:48.582805Z",
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| 5 |
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"args": [
|
| 6 |
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"--config",
|
| 7 |
+
"configs/ladder8k/resampled.json"
|
| 8 |
+
],
|
| 9 |
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"program": "/mloscratch/homes/navasard/sparse/SparseAtt/train.py",
|
| 10 |
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"codePath": "train.py",
|
| 11 |
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|
| 12 |
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"git": {
|
| 13 |
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"remote": "https://github.com/rubentium/TokenPrune.git",
|
| 14 |
+
"commit": "88298c7a418622530ca5426b22b1e5ebd10ca0cb"
|
| 15 |
+
},
|
| 16 |
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"email": "ruben.navasardyan@mail.utoronto.ca",
|
| 17 |
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"root": "/mloscratch/homes/navasard/sparse/SparseAtt",
|
| 18 |
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"host": "h100-workspace-4-gpu-0-3",
|
| 19 |
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"executable": "/mloscratch/homes/navasard/conda/bin/python",
|
| 20 |
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"cpu_count": 96,
|
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"cpu_count_logical": 192,
|
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"gpu": "NVIDIA H100 80GB HBM3",
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"gpu_count": 4,
|
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"memory": {
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| 31 |
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"total": "1623005626368"
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| 34 |
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{
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| 35 |
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|
| 36 |
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"memoryTotal": "85520809984",
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"uuid": "GPU-32209e2e-7887-e730-7611-251622a8e78f"
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{
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| 42 |
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"name": "NVIDIA H100 80GB HBM3",
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| 43 |
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| 44 |
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| 46 |
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"uuid": "GPU-3512802a-d501-0a3c-9812-4ab9deb3a3a9"
|
| 47 |
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|
| 48 |
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{
|
| 49 |
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"name": "NVIDIA H100 80GB HBM3",
|
| 50 |
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|
| 51 |
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|
| 52 |
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|
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{
|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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],
|
| 63 |
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"cudaVersion": "13.0",
|
| 64 |
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"writerId": "dezqrt08izbijsa39k11nwackrjm29bj"
|
| 65 |
+
}
|
epfl_final/SparseAtt/wandb/run-20260707_034748-304r0ilz/logs/debug-internal.log
ADDED
|
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epfl_final/SparseAtt/wandb/run-20260707_034748-304r0ilz/logs/debug.log
ADDED
|
@@ -0,0 +1,19 @@
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| 1 |
+
2026-07-07 03:47:48,599 INFO MainThread:1634 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
|
| 2 |
+
2026-07-07 03:47:48,599 INFO MainThread:1634 [wandb_setup.py:_flush():81] Configure stats pid to 1634
|
| 3 |
+
2026-07-07 03:47:48,599 INFO MainThread:1634 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
+
2026-07-07 03:47:48,599 INFO MainThread:1634 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /mloscratch/homes/navasard/sparse/SparseAtt/wandb/run-20260707_034748-304r0ilz/logs/debug.log
|
| 5 |
+
2026-07-07 03:47:48,599 INFO MainThread:1634 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /mloscratch/homes/navasard/sparse/SparseAtt/wandb/run-20260707_034748-304r0ilz/logs/debug-internal.log
|
| 6 |
+
2026-07-07 03:47:48,599 INFO MainThread:1634 [wandb_init.py:init():850] calling init triggers
|
| 7 |
+
2026-07-07 03:47:48,599 INFO MainThread:1634 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'model_path': '/mloscratch/homes/navasard/qwen3_06b_base', 'model_dtype': 'bfloat16', 'init_from_scratch': True, 'train_path': '/mloscratch/homes/navasard/data/fineweb_large/tokenized', 'val_path': None, 'max_seq_length': 8192, 'num_workers': 8, 'output_dir': '/mloscratch/homes/navasard/sparse/checkpoints/l8k365m_resampled/run_20260707_034554', 'resume_from_checkpoint': None, 'force_new_run': True, 'num_epochs': 1, 'max_steps': 44000, 'per_device_batch_size': 2, 'gradient_accumulation_steps': 10, 'learning_rate': 0.0005, 'weight_decay': 0.01, 'warmup_steps': 750, 'lr_scheduler': 'cosine', 'max_grad_norm': 1.0, 'save_steps': 1000, 'eval_steps': 250, 'eval_batches': 50, 'logging_steps': 10, 'seed': 42, 'verbose': True, 'checkpoint_activations': False, 'strategy': 'ddp', 'mixed_precision': 'bf16', 'wandb_enabled': True, 'wandb_project': 'stochastic_sparsity', 'wandb_name': '365m resampled 8k nrb31', 'wandb_tags': ['qwen3', '365m', '8k', 'scaleladder', 'resampled'], 'hidden_size': 768, 'intermediate_size': 3072, 'num_attention_heads': 6, 'num_key_value_heads': 2, 'num_hidden_layers': 28, 'head_dim': None, 'attention_type': 'sparse_stochastic', 'sparse_block_size': 128, 'sparse_num_random_blocks': 31, 'sparse_mask_pool_size': 10000, 'sparse_val_dense_compare': False, 'sparse_layer_indices': None, 'sparse_mask_cache_dir': '/mloscratch/homes/navasard/sparse/mask_cache_32', 'sparse_mask_seed': 0, 'dense_mode': False, 'dense_step_intervals': None, '_wandb': {}}
|
| 9 |
+
2026-07-07 03:47:48,599 INFO MainThread:1634 [wandb_init.py:init():898] starting backend
|
| 10 |
+
2026-07-07 03:47:48,850 INFO MainThread:1634 [wandb_init.py:init():913] sending inform_init request
|
| 11 |
+
2026-07-07 03:47:49,496 INFO MainThread:1634 [wandb_init.py:init():918] backend started and connected
|
| 12 |
+
2026-07-07 03:47:49,498 INFO MainThread:1634 [wandb_init.py:init():988] updated telemetry
|
| 13 |
+
2026-07-07 03:47:49,511 INFO MainThread:1634 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
|
| 14 |
+
2026-07-07 03:47:49,852 INFO MainThread:1634 [wandb_init.py:init():1056] starting run threads in backend
|
| 15 |
+
2026-07-07 03:47:49,995 INFO MainThread:1634 [wandb_run.py:_console_start():2554] atexit reg
|
| 16 |
+
2026-07-07 03:47:49,995 INFO MainThread:1634 [wandb_run.py:_redirect():2403] redirect: wrap_raw
|
| 17 |
+
2026-07-07 03:47:49,995 INFO MainThread:1634 [wandb_run.py:_redirect():2472] Wrapping output streams.
|
| 18 |
+
2026-07-07 03:47:49,995 INFO MainThread:1634 [wandb_run.py:_redirect():2495] Redirects installed.
|
| 19 |
+
2026-07-07 03:47:50,000 INFO MainThread:1634 [wandb_init.py:init():1094] run started, returning control to user process
|
epfl_final/SparseAtt/wandb/run-20260707_034748-304r0ilz/run-304r0ilz.wandb
ADDED
|
@@ -0,0 +1,3 @@
|
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|
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|
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|
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|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bbb5cc7c836b7d318e9d34ea252ab59c43e00bd0c33673979266ddf3ceb69f86
|
| 3 |
+
size 7503872
|
epfl_final/SparseAtt/wandb/run-20260707_035633-29juap32/files/output.log
ADDED
|
@@ -0,0 +1,2 @@
|
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|
|
|
|
|
|
|
| 1 |
+
Starting training...
|
| 2 |
+
Switching attention mode for step 1: dense (dense step interval)
|
epfl_final/SparseAtt/wandb/run-20260707_035633-29juap32/files/requirements.txt
ADDED
|
@@ -0,0 +1,141 @@
|
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|
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|
|
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|
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|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
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|
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|
|
|
|
|
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|
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|
|
|
|
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|
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|
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|
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|
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|
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|
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|
|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
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|
|
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|
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|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
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|
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|
|
|
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|
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|
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|
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|
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|
|
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|
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|
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|
|
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
pip==26.0.1
|
| 2 |
+
nvidia-cusparselt-cu13==0.8.0
|
| 3 |
+
mpmath==1.3.0
|
| 4 |
+
cuda-toolkit==13.0.2
|
| 5 |
+
zstandard==0.25.0
|
| 6 |
+
xxhash==3.7.0
|
| 7 |
+
urllib3==2.6.3
|
| 8 |
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typing_extensions==4.15.0
|
| 9 |
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triton==3.6.0
|
| 10 |
+
tqdm==4.67.3
|
| 11 |
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torchinfo==1.8.0
|
| 12 |
+
sympy==1.14.0
|
| 13 |
+
smmap==5.0.3
|
| 14 |
+
six==1.17.0
|
| 15 |
+
shellingham==1.5.4
|
| 16 |
+
setuptools==81.0.0
|
| 17 |
+
safetensors==0.7.0
|
| 18 |
+
regex==2026.4.4
|
| 19 |
+
PyYAML==6.0.3
|
| 20 |
+
Pygments==2.20.0
|
| 21 |
+
pyarrow==24.0.0
|
| 22 |
+
psutil==7.2.2
|
| 23 |
+
protobuf==7.34.1
|
| 24 |
+
propcache==0.4.1
|
| 25 |
+
platformdirs==4.9.6
|
| 26 |
+
packaging==26.2
|
| 27 |
+
nvidia-nvtx==13.0.85
|
| 28 |
+
nvidia-nvshmem-cu13==3.4.5
|
| 29 |
+
nvidia-nvjitlink==13.0.88
|
| 30 |
+
nvidia-nccl-cu13==2.28.9
|
| 31 |
+
nvidia-curand==10.4.0.35
|
| 32 |
+
nvidia-cufile==1.15.1.6
|
| 33 |
+
nvidia-cuda-runtime==13.0.96
|
| 34 |
+
nvidia-cuda-nvrtc==13.0.88
|
| 35 |
+
nvidia-cuda-cupti==13.0.85
|
| 36 |
+
nvidia-cublas==13.1.0.3
|
| 37 |
+
numpy==2.4.4
|
| 38 |
+
networkx==3.6.1
|
| 39 |
+
multidict==6.7.1
|
| 40 |
+
mdurl==0.1.2
|
| 41 |
+
MarkupSafe==3.0.3
|
| 42 |
+
idna==3.13
|
| 43 |
+
hf-xet==1.4.3
|
| 44 |
+
h11==0.16.0
|
| 45 |
+
fsspec==2026.2.0
|
| 46 |
+
frozenlist==1.8.0
|
| 47 |
+
filelock==3.29.0
|
| 48 |
+
dill==0.4.1
|
| 49 |
+
cuda-pathfinder==1.5.4
|
| 50 |
+
click==8.3.3
|
| 51 |
+
charset-normalizer==3.4.7
|
| 52 |
+
certifi==2026.4.22
|
| 53 |
+
attrs==26.1.0
|
| 54 |
+
annotated-types==0.7.0
|
| 55 |
+
annotated-doc==0.0.4
|
| 56 |
+
aiohappyeyeballs==2.6.1
|
| 57 |
+
yarl==1.23.0
|
| 58 |
+
typing-inspection==0.4.2
|
| 59 |
+
sentry-sdk==2.58.0
|
| 60 |
+
requests==2.33.1
|
| 61 |
+
python-dateutil==2.9.0.post0
|
| 62 |
+
pydantic_core==2.46.3
|
| 63 |
+
nvidia-cusparse==12.6.3.3
|
| 64 |
+
nvidia-cufft==12.0.0.61
|
| 65 |
+
nvidia-cudnn-cu13==9.19.0.56
|
| 66 |
+
multiprocess==0.70.19
|
| 67 |
+
markdown-it-py==4.0.0
|
| 68 |
+
Jinja2==3.1.6
|
| 69 |
+
httpcore==1.0.9
|
| 70 |
+
gitdb==4.0.12
|
| 71 |
+
cuda-bindings==13.2.0
|
| 72 |
+
anyio==4.13.0
|
| 73 |
+
aiosignal==1.4.0
|
| 74 |
+
rich==15.0.0
|
| 75 |
+
pydantic==2.13.3
|
| 76 |
+
pandas==3.0.2
|
| 77 |
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nvidia-cusolver==12.0.4.66
|
| 78 |
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httpx==0.28.1
|
| 79 |
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GitPython==3.1.49
|
| 80 |
+
aiohttp==3.13.5
|
| 81 |
+
wandb==0.26.1
|
| 82 |
+
typer==0.25.1
|
| 83 |
+
torch==2.11.0
|
| 84 |
+
huggingface_hub==1.13.0
|
| 85 |
+
tokenizers==0.22.2
|
| 86 |
+
datasets==4.8.5
|
| 87 |
+
accelerate==1.13.0
|
| 88 |
+
transformers==5.7.0
|
| 89 |
+
word2number==1.1
|
| 90 |
+
sqlitedict==2.1.0
|
| 91 |
+
pytz==2026.2
|
| 92 |
+
threadpoolctl==3.6.0
|
| 93 |
+
tcolorpy==0.1.7
|
| 94 |
+
tabulate==0.10.0
|
| 95 |
+
scipy==1.17.1
|
| 96 |
+
portalocker==3.2.0
|
| 97 |
+
pathvalidate==3.3.1
|
| 98 |
+
narwhals==2.22.1
|
| 99 |
+
more-itertools==11.1.0
|
| 100 |
+
lxml==6.1.1
|
| 101 |
+
joblib==1.5.3
|
| 102 |
+
colorama==0.4.6
|
| 103 |
+
chardet==6.0.0.post1
|
| 104 |
+
absl-py==2.4.0
|
| 105 |
+
scikit-learn==1.9.0
|
| 106 |
+
sacrebleu==2.6.0
|
| 107 |
+
nltk==3.9.4
|
| 108 |
+
mbstrdecoder==1.1.5
|
| 109 |
+
typepy==1.3.5
|
| 110 |
+
rouge_score==0.1.2
|
| 111 |
+
DataProperty==1.1.1
|
| 112 |
+
tabledata==1.3.5
|
| 113 |
+
evaluate==0.4.6
|
| 114 |
+
pytablewriter==1.2.1
|
| 115 |
+
lm_eval==0.4.12
|
| 116 |
+
pluggy==1.6.0
|
| 117 |
+
iniconfig==2.3.0
|
| 118 |
+
pytest==9.1.0
|
| 119 |
+
py-spy==0.4.2
|
| 120 |
+
pillow==12.2.0
|
| 121 |
+
tifffile==2026.6.1
|
| 122 |
+
imagecodecs==2026.6.26
|
| 123 |
+
zipp==4.1.0
|
| 124 |
+
importlib_metadata==9.0.0
|
| 125 |
+
derivative==0.6.3
|
| 126 |
+
pysindy==2.1.0
|
| 127 |
+
pyparsing==3.3.2
|
| 128 |
+
kiwisolver==1.5.0
|
| 129 |
+
fonttools==4.63.0
|
| 130 |
+
cycler==0.12.1
|
| 131 |
+
contourpy==1.3.3
|
| 132 |
+
matplotlib==3.11.0
|
| 133 |
+
sortedcontainers==2.4.0
|
| 134 |
+
wcwidth==0.8.2
|
| 135 |
+
sigfig==1.3.19
|
| 136 |
+
importlib_resources==7.1.0
|
| 137 |
+
enum-tools==0.13.0
|
| 138 |
+
cramjam==2.11.0
|
| 139 |
+
python-snappy==0.7.3
|
| 140 |
+
compact-json==1.8.2
|
| 141 |
+
numbers-parser==4.18.5
|
epfl_final/SparseAtt/wandb/run-20260707_035633-29juap32/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
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|
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|
|
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|
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|
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|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-124-generic-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.13.13",
|
| 4 |
+
"startedAt": "2026-07-07T03:56:33.910068Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"--config",
|
| 7 |
+
"configs/ladder30k/dense.json"
|
| 8 |
+
],
|
| 9 |
+
"program": "/mloscratch/homes/navasard/sparse/SparseAtt/train.py",
|
| 10 |
+
"codePath": "train.py",
|
| 11 |
+
"codePathLocal": "train.py",
|
| 12 |
+
"git": {
|
| 13 |
+
"remote": "https://github.com/rubentium/TokenPrune.git",
|
| 14 |
+
"commit": "88298c7a418622530ca5426b22b1e5ebd10ca0cb"
|
| 15 |
+
},
|
| 16 |
+
"email": "ruben.navasardyan@mail.utoronto.ca",
|
| 17 |
+
"root": "/mloscratch/homes/navasard/sparse/SparseAtt",
|
| 18 |
+
"host": "h100-train-4-gpu-0-0",
|
| 19 |
+
"executable": "/mloscratch/homes/navasard/conda/bin/python",
|
| 20 |
+
"cpu_count": 96,
|
| 21 |
+
"cpu_count_logical": 192,
|
| 22 |
+
"gpu": "NVIDIA H100 80GB HBM3",
|
| 23 |
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"gpu_count": 4,
|
| 24 |
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"disk": {
|
| 25 |
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"/": {
|
| 26 |
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"total": "9374931091456",
|
| 27 |
+
"used": "4873917288448"
|
| 28 |
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}
|
| 29 |
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},
|
| 30 |
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"memory": {
|
| 31 |
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"total": "1623005732864"
|
| 32 |
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},
|
| 33 |
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"gpu_nvidia": [
|
| 34 |
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{
|
| 35 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 36 |
+
"memoryTotal": "85520809984",
|
| 37 |
+
"cudaCores": 16896,
|
| 38 |
+
"architecture": "Hopper",
|
| 39 |
+
"uuid": "GPU-85844f64-d144-1c84-306d-f88b5f232a77"
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 43 |
+
"memoryTotal": "85520809984",
|
| 44 |
+
"cudaCores": 16896,
|
| 45 |
+
"architecture": "Hopper",
|
| 46 |
+
"uuid": "GPU-4e4c2343-4f5b-a2ff-312e-03d402a27803"
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 50 |
+
"memoryTotal": "85520809984",
|
| 51 |
+
"cudaCores": 16896,
|
| 52 |
+
"architecture": "Hopper",
|
| 53 |
+
"uuid": "GPU-fbf0ccd1-8bd4-5f57-6e74-6c0cf7eb70c9"
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 57 |
+
"memoryTotal": "85520809984",
|
| 58 |
+
"cudaCores": 16896,
|
| 59 |
+
"architecture": "Hopper",
|
| 60 |
+
"uuid": "GPU-410cba62-f098-3454-c960-ebc55bd081af"
|
| 61 |
+
}
|
| 62 |
+
],
|
| 63 |
+
"cudaVersion": "13.0",
|
| 64 |
+
"writerId": "q8kf2pugoccb1zdmtam7yksk7uechd2s"
|
| 65 |
+
}
|
epfl_final/SparseAtt/wandb/run-20260707_035633-29juap32/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,13 @@
|
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|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2026-07-07T03:56:34.477229674Z","level":"INFO","msg":"wandb-core"}
|
| 2 |
+
{"time":"2026-07-07T03:56:34.482507326Z","level":"INFO","msg":"stream: starting","core version":"0.26.1"}
|
| 3 |
+
{"time":"2026-07-07T03:56:34.90648784Z","level":"INFO","msg":"stream: created new stream","id":"29juap32"}
|
| 4 |
+
{"time":"2026-07-07T03:56:34.906620959Z","level":"INFO","msg":"handler: started"}
|
| 5 |
+
{"time":"2026-07-07T03:56:34.90867463Z","level":"INFO","msg":"stream: started"}
|
| 6 |
+
{"time":"2026-07-07T03:56:34.908718065Z","level":"INFO","msg":"writer: started","stream_id":"29juap32"}
|
| 7 |
+
{"time":"2026-07-07T03:56:34.908776232Z","level":"INFO","msg":"sender: started"}
|
| 8 |
+
{"time":"2026-07-07T03:56:35.528388972Z","level":"INFO","msg":"filestream: sending request","total_files":1,"console_offset":0,"console_lines":1}
|
| 9 |
+
{"time":"2026-07-07T03:56:35.767793383Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 10 |
+
{"time":"2026-07-07T03:56:50.528517775Z","level":"INFO","msg":"filestream: sending request","total_files":2,"events_offset":0,"events_lines":2,"console_offset":1,"console_lines":1,"uploaded_len":2}
|
| 11 |
+
{"time":"2026-07-07T03:56:50.770850103Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 12 |
+
{"time":"2026-07-07T03:57:05.528631515Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":2,"events_lines":2}
|
| 13 |
+
{"time":"2026-07-07T03:57:05.971844769Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
epfl_final/SparseAtt/wandb/run-20260707_035633-29juap32/logs/debug.log
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2026-07-07 03:56:33,930 INFO MainThread:215 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
|
| 2 |
+
2026-07-07 03:56:33,930 INFO MainThread:215 [wandb_setup.py:_flush():81] Configure stats pid to 215
|
| 3 |
+
2026-07-07 03:56:33,930 INFO MainThread:215 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
+
2026-07-07 03:56:33,930 INFO MainThread:215 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /mloscratch/homes/navasard/sparse/SparseAtt/wandb/run-20260707_035633-29juap32/logs/debug.log
|
| 5 |
+
2026-07-07 03:56:33,931 INFO MainThread:215 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /mloscratch/homes/navasard/sparse/SparseAtt/wandb/run-20260707_035633-29juap32/logs/debug-internal.log
|
| 6 |
+
2026-07-07 03:56:33,931 INFO MainThread:215 [wandb_init.py:init():850] calling init triggers
|
| 7 |
+
2026-07-07 03:56:33,931 INFO MainThread:215 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'model_path': '/mloscratch/homes/navasard/qwen3_06b_base', 'model_dtype': 'bfloat16', 'init_from_scratch': True, 'train_path': '/mloscratch/homes/navasard/data/longctx30k/tokenized', 'val_path': None, 'max_seq_length': 30720, 'num_workers': 8, 'output_dir': '/mloscratch/homes/navasard/sparse/checkpoints/l30k365m_dense/run_20260707_035549', 'resume_from_checkpoint': None, 'force_new_run': True, 'num_epochs': 1, 'max_steps': 11700, 'per_device_batch_size': 1, 'gradient_accumulation_steps': 20, 'learning_rate': 0.0005, 'weight_decay': 0.01, 'warmup_steps': 750, 'lr_scheduler': 'cosine', 'max_grad_norm': 1.0, 'save_steps': 1000, 'eval_steps': 250, 'eval_batches': 20, 'logging_steps': 10, 'seed': 42, 'verbose': True, 'checkpoint_activations': False, 'strategy': 'ddp', 'mixed_precision': 'bf16', 'wandb_enabled': True, 'wandb_project': 'stochastic_sparsity', 'wandb_name': '365m dense 30k', 'wandb_tags': ['qwen3', '365m', '30k', 'scaleladder', 'dense'], 'hidden_size': 768, 'intermediate_size': 3072, 'num_attention_heads': 6, 'num_key_value_heads': 2, 'num_hidden_layers': 28, 'head_dim': None, 'attention_type': 'sparse_stochastic', 'sparse_block_size': 128, 'sparse_num_random_blocks': 120, 'sparse_mask_pool_size': 1, 'sparse_val_dense_compare': False, 'sparse_layer_indices': None, 'sparse_mask_cache_dir': None, 'sparse_mask_seed': 0, 'dense_mode': True, 'dense_step_intervals': None, '_wandb': {}}
|
| 9 |
+
2026-07-07 03:56:33,931 INFO MainThread:215 [wandb_init.py:init():898] starting backend
|
| 10 |
+
2026-07-07 03:56:34,459 INFO MainThread:215 [wandb_init.py:init():913] sending inform_init request
|
| 11 |
+
2026-07-07 03:56:34,909 INFO MainThread:215 [wandb_init.py:init():918] backend started and connected
|
| 12 |
+
2026-07-07 03:56:34,912 INFO MainThread:215 [wandb_init.py:init():988] updated telemetry
|
| 13 |
+
2026-07-07 03:56:34,935 INFO MainThread:215 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
|
| 14 |
+
2026-07-07 03:56:35,301 INFO MainThread:215 [wandb_init.py:init():1056] starting run threads in backend
|
| 15 |
+
2026-07-07 03:56:35,516 INFO MainThread:215 [wandb_run.py:_console_start():2554] atexit reg
|
| 16 |
+
2026-07-07 03:56:35,516 INFO MainThread:215 [wandb_run.py:_redirect():2403] redirect: wrap_raw
|
| 17 |
+
2026-07-07 03:56:35,516 INFO MainThread:215 [wandb_run.py:_redirect():2472] Wrapping output streams.
|
| 18 |
+
2026-07-07 03:56:35,516 INFO MainThread:215 [wandb_run.py:_redirect():2495] Redirects installed.
|
| 19 |
+
2026-07-07 03:56:35,524 INFO MainThread:215 [wandb_init.py:init():1094] run started, returning control to user process
|