EPFL ALiBi and training provenance 1-50 of 1184
Browse files- epfl_final/configs_dropctl/a100_40gb_vram_probe_p28.json +67 -0
- epfl_final/configs_dropctl/calib_p00.json +68 -0
- epfl_final/configs_dropctl/calib_p05.json +68 -0
- epfl_final/configs_dropctl/calib_p10.json +68 -0
- epfl_final/configs_dropctl/calib_p20.json +68 -0
- epfl_final/configs_dropctl/calib_p28_verify.json +68 -0
- epfl_final/configs_dropctl/calib_p30_verify.json +68 -0
- epfl_final/configs_dropctl/diag_p28_20.json +68 -0
- epfl_final/configs_dropctl/full_p28/seed42.json +67 -0
- epfl_final/configs_dropctl/full_p28/seed43.json +67 -0
- epfl_final/configs_dropctl/full_p28/seed44.json +67 -0
- epfl_final/configs_dropctl/full_p28/seed45.json +67 -0
- epfl_final/configs_dropctl/full_p28/seed46.json +67 -0
- epfl_final/configs_dropctl/resume_p28/seed42.json +67 -0
- epfl_final/configs_dropctl/resume_p28/seed43.json +67 -0
- epfl_final/configs_dropctl/resume_p28/seed44.json +67 -0
- epfl_final/models/ALIBI_20260921/1p2b_alibi_s42/run_20260922_004519/checkpoint-17000/config.json +38 -0
- epfl_final/models/ALIBI_20260921/1p2b_alibi_s42/run_20260922_004519/checkpoint-17000/loader_gen_state_rank0.pt +3 -0
- epfl_final/models/ALIBI_20260921/1p2b_alibi_s42/run_20260922_004519/checkpoint-17000/loader_gen_state_rank1.pt +3 -0
- epfl_final/models/ALIBI_20260921/1p2b_alibi_s42/run_20260922_004519/checkpoint-17000/loader_gen_state_rank2.pt +3 -0
- epfl_final/models/ALIBI_20260921/1p2b_alibi_s42/run_20260922_004519/checkpoint-17000/model.pt +3 -0
- epfl_final/models/ALIBI_20260921/1p2b_alibi_s42/run_20260922_004519/checkpoint-17000/rng_state_rank0.pt +3 -0
- epfl_final/models/ALIBI_20260921/1p2b_alibi_s42/run_20260922_004519/checkpoint-17000/rng_state_rank1.pt +3 -0
- epfl_final/models/ALIBI_20260921/1p2b_alibi_s42/run_20260922_004519/checkpoint-17000/rng_state_rank2.pt +3 -0
- epfl_final/models/ALIBI_20260921/1p2b_alibi_s42/run_20260922_004519/checkpoint-17000/training_state.pt +3 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s42/run_20260921_142951/checkpoint-44000/config.json +38 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s42/run_20260921_142951/checkpoint-44000/model.pt +3 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s43/run_20260921_142951/checkpoint-44000/config.json +38 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s43/run_20260921_142951/checkpoint-44000/model.pt +3 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s44/run_20260921_142951/checkpoint-44000/config.json +38 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s44/run_20260921_142951/checkpoint-44000/model.pt +3 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s45/run_20260921_142951/checkpoint-44000/config.json +38 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s45/run_20260921_142951/checkpoint-44000/model.pt +3 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s46/run_20260921_142951/checkpoint-44000/config.json +38 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s46/run_20260921_142951/checkpoint-44000/model.pt +3 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/config.json +38 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/loader_gen_state_rank0.pt +3 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/loader_gen_state_rank1.pt +3 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/loader_gen_state_rank2.pt +3 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/loader_gen_state_rank3.pt +3 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/loader_gen_state_rank4.pt +3 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/model.pt +3 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/rng_state_rank0.pt +3 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/rng_state_rank1.pt +3 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/rng_state_rank2.pt +3 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/rng_state_rank3.pt +3 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/rng_state_rank4.pt +3 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/training_state.pt +3 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s47_restart_20260922/run_20260922_192827/checkpoint-44000/config.json +40 -0
- epfl_final/models/ALIBI_20260921/365m_alibi_s47_restart_20260922/run_20260922_192827/checkpoint-44000/model.pt +3 -0
epfl_final/configs_dropctl/a100_40gb_vram_probe_p28.json
ADDED
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{
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"model": {
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"path": "/mloscratch/homes/navasard/qwen3_06b_base",
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"dtype": "bfloat16",
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"init_from_scratch": true,
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"hidden_size": 768,
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| 7 |
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"intermediate_size": 3072,
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| 8 |
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"num_hidden_layers": 28,
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"num_attention_heads": 6,
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| 10 |
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"num_key_value_heads": 2,
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| 11 |
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"attention_dropout": 0.28
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| 12 |
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},
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"data": {
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| 14 |
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"train_path": "/mloscratch/homes/navasard/data/fineweb_large/tokenized",
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| 15 |
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"val_path": null,
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| 16 |
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"max_seq_length": 8192,
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| 17 |
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"num_workers": 8
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| 18 |
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},
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| 19 |
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"training": {
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| 20 |
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"output_dir": "/mloscratch/homes/navasard/sparse/checkpoints/a100_40gb_vram_probe_p28",
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| 21 |
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"force_new_run": true,
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"num_epochs": 1,
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"max_steps": 2,
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| 24 |
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"per_device_batch_size": 2,
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"gradient_accumulation_steps": 10,
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| 26 |
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"learning_rate": 0.0005,
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| 27 |
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"weight_decay": 0.01,
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| 28 |
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"warmup_steps": 750,
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"lr_scheduler": "cosine",
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"max_grad_norm": 1.0,
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"save_steps": 999999,
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"eval_steps": 999999,
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| 33 |
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"eval_batches": 50,
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| 34 |
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"logging_steps": 1,
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| 35 |
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"seed": 42,
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"verbose": true,
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| 37 |
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"checkpoint_activations": false
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},
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"distributed": {
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"strategy": "ddp",
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"mixed_precision": "bf16"
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},
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"wandb": {
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| 44 |
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"enabled": false,
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| 45 |
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"project": "stochastic_sparsity",
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| 46 |
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"name": "l8k365m_dense_dropout_p28_seed42",
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| 47 |
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"tags": [
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| 48 |
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"qwen3",
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| 49 |
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"365m",
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| 50 |
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"8k",
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"scaleladder",
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"dense"
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| 53 |
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]
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| 54 |
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},
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"attention": {
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| 56 |
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"type": "sparse_stochastic",
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| 57 |
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"dense_mode": true,
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| 58 |
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"sparse_block_size": 128,
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| 59 |
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"sparse_num_random_blocks": 31,
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| 60 |
+
"sparse_mask_pool_size": 1,
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| 61 |
+
"sparse_val_dense_compare": false,
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| 62 |
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"dense_step_intervals": null,
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| 63 |
+
"sparse_layer_indices": null,
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| 64 |
+
"sparse_mask_cache_dir": null,
|
| 65 |
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"sparse_mask_seed": 0
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| 66 |
+
}
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| 67 |
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}
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epfl_final/configs_dropctl/calib_p00.json
ADDED
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@@ -0,0 +1,68 @@
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| 1 |
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{
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| 2 |
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"model": {
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| 3 |
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"path": "/mloscratch/homes/navasard/qwen3_06b_base",
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| 4 |
+
"dtype": "bfloat16",
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| 5 |
+
"init_from_scratch": false,
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| 6 |
+
"hidden_size": 768,
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| 7 |
+
"intermediate_size": 3072,
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| 8 |
+
"num_hidden_layers": 28,
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| 9 |
+
"num_attention_heads": 6,
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| 10 |
+
"num_key_value_heads": 2,
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| 11 |
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"attention_dropout": 0.0
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| 12 |
+
},
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| 13 |
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"data": {
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| 14 |
+
"train_path": "/mloscratch/homes/navasard/data/fineweb_large/tokenized",
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| 15 |
+
"val_path": "/mloscratch/homes/navasard/data/fineweb_val_seed42",
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| 16 |
+
"max_seq_length": 8192,
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| 17 |
+
"num_workers": 8
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| 18 |
+
},
|
| 19 |
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"training": {
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| 20 |
+
"output_dir": "/mloscratch/homes/navasard/sparse/checkpoints/dropctl_calib_p00",
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| 21 |
+
"resume_from_checkpoint": "/mloscratch/homes/navasard/sparse/checkpoints/l8k365m_dense/run_20260707_034553/checkpoint-44000",
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| 22 |
+
"force_new_run": true,
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| 23 |
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"num_epochs": 1,
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| 24 |
+
"max_steps": 44300,
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| 25 |
+
"per_device_batch_size": 2,
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| 26 |
+
"gradient_accumulation_steps": 10,
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| 27 |
+
"learning_rate": 5e-05,
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| 28 |
+
"weight_decay": 0.01,
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| 29 |
+
"warmup_steps": 0,
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| 30 |
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"lr_scheduler": "constant",
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| 31 |
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"max_grad_norm": 1.0,
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| 32 |
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"save_steps": 300,
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| 33 |
+
"eval_steps": 75,
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| 34 |
+
"eval_batches": 50,
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| 35 |
+
"logging_steps": 10,
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| 36 |
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"seed": 42,
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| 37 |
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"verbose": true,
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| 38 |
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"checkpoint_activations": false
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| 39 |
+
},
|
| 40 |
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"distributed": {
|
| 41 |
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"strategy": "ddp",
|
| 42 |
+
"mixed_precision": "bf16"
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| 43 |
+
},
|
| 44 |
+
"wandb": {
|
| 45 |
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"enabled": false,
|
| 46 |
+
"project": "stochastic_sparsity",
|
| 47 |
+
"name": "dropctl_calib_p00",
|
| 48 |
+
"tags": [
|
| 49 |
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"qwen3",
|
| 50 |
+
"365m",
|
| 51 |
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"8k",
|
| 52 |
+
"scaleladder",
|
| 53 |
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"dense"
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| 54 |
+
]
|
| 55 |
+
},
|
| 56 |
+
"attention": {
|
| 57 |
+
"type": "sparse_stochastic",
|
| 58 |
+
"dense_mode": true,
|
| 59 |
+
"sparse_block_size": 128,
|
| 60 |
+
"sparse_num_random_blocks": 31,
|
| 61 |
+
"sparse_mask_pool_size": 1,
|
| 62 |
+
"sparse_val_dense_compare": false,
|
| 63 |
+
"dense_step_intervals": null,
|
| 64 |
+
"sparse_layer_indices": null,
|
| 65 |
+
"sparse_mask_cache_dir": null,
|
| 66 |
+
"sparse_mask_seed": 0
|
| 67 |
+
}
|
| 68 |
+
}
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epfl_final/configs_dropctl/calib_p05.json
ADDED
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@@ -0,0 +1,68 @@
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| 1 |
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{
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| 2 |
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"model": {
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| 3 |
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"path": "/mloscratch/homes/navasard/qwen3_06b_base",
|
| 4 |
+
"dtype": "bfloat16",
|
| 5 |
+
"init_from_scratch": false,
|
| 6 |
+
"hidden_size": 768,
|
| 7 |
+
"intermediate_size": 3072,
|
| 8 |
+
"num_hidden_layers": 28,
|
| 9 |
+
"num_attention_heads": 6,
|
| 10 |
+
"num_key_value_heads": 2,
|
| 11 |
+
"attention_dropout": 0.05
|
| 12 |
+
},
|
| 13 |
+
"data": {
|
| 14 |
+
"train_path": "/mloscratch/homes/navasard/data/fineweb_large/tokenized",
|
| 15 |
+
"val_path": "/mloscratch/homes/navasard/data/fineweb_val_seed42",
|
| 16 |
+
"max_seq_length": 8192,
|
| 17 |
+
"num_workers": 8
|
| 18 |
+
},
|
| 19 |
+
"training": {
|
| 20 |
+
"output_dir": "/mloscratch/homes/navasard/sparse/checkpoints/dropctl_calib_p05",
|
| 21 |
+
"resume_from_checkpoint": "/mloscratch/homes/navasard/sparse/checkpoints/l8k365m_dense/run_20260707_034553/checkpoint-44000",
|
| 22 |
+
"force_new_run": true,
|
| 23 |
+
"num_epochs": 1,
|
| 24 |
+
"max_steps": 44300,
|
| 25 |
+
"per_device_batch_size": 2,
|
| 26 |
+
"gradient_accumulation_steps": 10,
|
| 27 |
+
"learning_rate": 5e-05,
|
| 28 |
+
"weight_decay": 0.01,
|
| 29 |
+
"warmup_steps": 0,
|
| 30 |
+
"lr_scheduler": "constant",
|
| 31 |
+
"max_grad_norm": 1.0,
|
| 32 |
+
"save_steps": 300,
|
| 33 |
+
"eval_steps": 75,
|
| 34 |
+
"eval_batches": 50,
|
| 35 |
+
"logging_steps": 10,
|
| 36 |
+
"seed": 42,
|
| 37 |
+
"verbose": true,
|
| 38 |
+
"checkpoint_activations": false
|
| 39 |
+
},
|
| 40 |
+
"distributed": {
|
| 41 |
+
"strategy": "ddp",
|
| 42 |
+
"mixed_precision": "bf16"
|
| 43 |
+
},
|
| 44 |
+
"wandb": {
|
| 45 |
+
"enabled": false,
|
| 46 |
+
"project": "stochastic_sparsity",
|
| 47 |
+
"name": "dropctl_calib_p05",
|
| 48 |
+
"tags": [
|
| 49 |
+
"qwen3",
|
| 50 |
+
"365m",
|
| 51 |
+
"8k",
|
| 52 |
+
"scaleladder",
|
| 53 |
+
"dense"
|
| 54 |
+
]
|
| 55 |
+
},
|
| 56 |
+
"attention": {
|
| 57 |
+
"type": "sparse_stochastic",
|
| 58 |
+
"dense_mode": true,
|
| 59 |
+
"sparse_block_size": 128,
|
| 60 |
+
"sparse_num_random_blocks": 31,
|
| 61 |
+
"sparse_mask_pool_size": 1,
|
| 62 |
+
"sparse_val_dense_compare": false,
|
| 63 |
+
"dense_step_intervals": null,
|
| 64 |
+
"sparse_layer_indices": null,
|
| 65 |
+
"sparse_mask_cache_dir": null,
|
| 66 |
+
"sparse_mask_seed": 0
|
| 67 |
+
}
|
| 68 |
+
}
|
epfl_final/configs_dropctl/calib_p10.json
ADDED
|
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": {
|
| 3 |
+
"path": "/mloscratch/homes/navasard/qwen3_06b_base",
|
| 4 |
+
"dtype": "bfloat16",
|
| 5 |
+
"init_from_scratch": false,
|
| 6 |
+
"hidden_size": 768,
|
| 7 |
+
"intermediate_size": 3072,
|
| 8 |
+
"num_hidden_layers": 28,
|
| 9 |
+
"num_attention_heads": 6,
|
| 10 |
+
"num_key_value_heads": 2,
|
| 11 |
+
"attention_dropout": 0.1
|
| 12 |
+
},
|
| 13 |
+
"data": {
|
| 14 |
+
"train_path": "/mloscratch/homes/navasard/data/fineweb_large/tokenized",
|
| 15 |
+
"val_path": "/mloscratch/homes/navasard/data/fineweb_val_seed42",
|
| 16 |
+
"max_seq_length": 8192,
|
| 17 |
+
"num_workers": 8
|
| 18 |
+
},
|
| 19 |
+
"training": {
|
| 20 |
+
"output_dir": "/mloscratch/homes/navasard/sparse/checkpoints/dropctl_calib_p10",
|
| 21 |
+
"resume_from_checkpoint": "/mloscratch/homes/navasard/sparse/checkpoints/l8k365m_dense/run_20260707_034553/checkpoint-44000",
|
| 22 |
+
"force_new_run": true,
|
| 23 |
+
"num_epochs": 1,
|
| 24 |
+
"max_steps": 44300,
|
| 25 |
+
"per_device_batch_size": 2,
|
| 26 |
+
"gradient_accumulation_steps": 10,
|
| 27 |
+
"learning_rate": 5e-05,
|
| 28 |
+
"weight_decay": 0.01,
|
| 29 |
+
"warmup_steps": 0,
|
| 30 |
+
"lr_scheduler": "constant",
|
| 31 |
+
"max_grad_norm": 1.0,
|
| 32 |
+
"save_steps": 300,
|
| 33 |
+
"eval_steps": 75,
|
| 34 |
+
"eval_batches": 50,
|
| 35 |
+
"logging_steps": 10,
|
| 36 |
+
"seed": 42,
|
| 37 |
+
"verbose": true,
|
| 38 |
+
"checkpoint_activations": false
|
| 39 |
+
},
|
| 40 |
+
"distributed": {
|
| 41 |
+
"strategy": "ddp",
|
| 42 |
+
"mixed_precision": "bf16"
|
| 43 |
+
},
|
| 44 |
+
"wandb": {
|
| 45 |
+
"enabled": false,
|
| 46 |
+
"project": "stochastic_sparsity",
|
| 47 |
+
"name": "dropctl_calib_p10",
|
| 48 |
+
"tags": [
|
| 49 |
+
"qwen3",
|
| 50 |
+
"365m",
|
| 51 |
+
"8k",
|
| 52 |
+
"scaleladder",
|
| 53 |
+
"dense"
|
| 54 |
+
]
|
| 55 |
+
},
|
| 56 |
+
"attention": {
|
| 57 |
+
"type": "sparse_stochastic",
|
| 58 |
+
"dense_mode": true,
|
| 59 |
+
"sparse_block_size": 128,
|
| 60 |
+
"sparse_num_random_blocks": 31,
|
| 61 |
+
"sparse_mask_pool_size": 1,
|
| 62 |
+
"sparse_val_dense_compare": false,
|
| 63 |
+
"dense_step_intervals": null,
|
| 64 |
+
"sparse_layer_indices": null,
|
| 65 |
+
"sparse_mask_cache_dir": null,
|
| 66 |
+
"sparse_mask_seed": 0
|
| 67 |
+
}
|
| 68 |
+
}
|
epfl_final/configs_dropctl/calib_p20.json
ADDED
|
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": {
|
| 3 |
+
"path": "/mloscratch/homes/navasard/qwen3_06b_base",
|
| 4 |
+
"dtype": "bfloat16",
|
| 5 |
+
"init_from_scratch": false,
|
| 6 |
+
"hidden_size": 768,
|
| 7 |
+
"intermediate_size": 3072,
|
| 8 |
+
"num_hidden_layers": 28,
|
| 9 |
+
"num_attention_heads": 6,
|
| 10 |
+
"num_key_value_heads": 2,
|
| 11 |
+
"attention_dropout": 0.2
|
| 12 |
+
},
|
| 13 |
+
"data": {
|
| 14 |
+
"train_path": "/mloscratch/homes/navasard/data/fineweb_large/tokenized",
|
| 15 |
+
"val_path": "/mloscratch/homes/navasard/data/fineweb_val_seed42",
|
| 16 |
+
"max_seq_length": 8192,
|
| 17 |
+
"num_workers": 8
|
| 18 |
+
},
|
| 19 |
+
"training": {
|
| 20 |
+
"output_dir": "/mloscratch/homes/navasard/sparse/checkpoints/dropctl_calib_p20",
|
| 21 |
+
"resume_from_checkpoint": "/mloscratch/homes/navasard/sparse/checkpoints/l8k365m_dense/run_20260707_034553/checkpoint-44000",
|
| 22 |
+
"force_new_run": true,
|
| 23 |
+
"num_epochs": 1,
|
| 24 |
+
"max_steps": 44300,
|
| 25 |
+
"per_device_batch_size": 2,
|
| 26 |
+
"gradient_accumulation_steps": 10,
|
| 27 |
+
"learning_rate": 5e-05,
|
| 28 |
+
"weight_decay": 0.01,
|
| 29 |
+
"warmup_steps": 0,
|
| 30 |
+
"lr_scheduler": "constant",
|
| 31 |
+
"max_grad_norm": 1.0,
|
| 32 |
+
"save_steps": 300,
|
| 33 |
+
"eval_steps": 75,
|
| 34 |
+
"eval_batches": 50,
|
| 35 |
+
"logging_steps": 10,
|
| 36 |
+
"seed": 42,
|
| 37 |
+
"verbose": true,
|
| 38 |
+
"checkpoint_activations": false
|
| 39 |
+
},
|
| 40 |
+
"distributed": {
|
| 41 |
+
"strategy": "ddp",
|
| 42 |
+
"mixed_precision": "bf16"
|
| 43 |
+
},
|
| 44 |
+
"wandb": {
|
| 45 |
+
"enabled": false,
|
| 46 |
+
"project": "stochastic_sparsity",
|
| 47 |
+
"name": "dropctl_calib_p20",
|
| 48 |
+
"tags": [
|
| 49 |
+
"qwen3",
|
| 50 |
+
"365m",
|
| 51 |
+
"8k",
|
| 52 |
+
"scaleladder",
|
| 53 |
+
"dense"
|
| 54 |
+
]
|
| 55 |
+
},
|
| 56 |
+
"attention": {
|
| 57 |
+
"type": "sparse_stochastic",
|
| 58 |
+
"dense_mode": true,
|
| 59 |
+
"sparse_block_size": 128,
|
| 60 |
+
"sparse_num_random_blocks": 31,
|
| 61 |
+
"sparse_mask_pool_size": 1,
|
| 62 |
+
"sparse_val_dense_compare": false,
|
| 63 |
+
"dense_step_intervals": null,
|
| 64 |
+
"sparse_layer_indices": null,
|
| 65 |
+
"sparse_mask_cache_dir": null,
|
| 66 |
+
"sparse_mask_seed": 0
|
| 67 |
+
}
|
| 68 |
+
}
|
epfl_final/configs_dropctl/calib_p28_verify.json
ADDED
|
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": {
|
| 3 |
+
"path": "/mloscratch/homes/navasard/qwen3_06b_base",
|
| 4 |
+
"dtype": "bfloat16",
|
| 5 |
+
"init_from_scratch": false,
|
| 6 |
+
"hidden_size": 768,
|
| 7 |
+
"intermediate_size": 3072,
|
| 8 |
+
"num_hidden_layers": 28,
|
| 9 |
+
"num_attention_heads": 6,
|
| 10 |
+
"num_key_value_heads": 2,
|
| 11 |
+
"attention_dropout": 0.28
|
| 12 |
+
},
|
| 13 |
+
"data": {
|
| 14 |
+
"train_path": "/mloscratch/homes/navasard/data/fineweb_large/tokenized",
|
| 15 |
+
"val_path": "/mloscratch/homes/navasard/data/fineweb_val_seed42",
|
| 16 |
+
"max_seq_length": 8192,
|
| 17 |
+
"num_workers": 8
|
| 18 |
+
},
|
| 19 |
+
"training": {
|
| 20 |
+
"output_dir": "/mloscratch/homes/navasard/sparse/checkpoints/dropctl_calib_p28_verify",
|
| 21 |
+
"resume_from_checkpoint": "/mloscratch/homes/navasard/sparse/checkpoints/l8k365m_dense/run_20260707_034553/checkpoint-44000",
|
| 22 |
+
"force_new_run": true,
|
| 23 |
+
"num_epochs": 1,
|
| 24 |
+
"max_steps": 44300,
|
| 25 |
+
"per_device_batch_size": 2,
|
| 26 |
+
"gradient_accumulation_steps": 10,
|
| 27 |
+
"learning_rate": 5e-05,
|
| 28 |
+
"weight_decay": 0.01,
|
| 29 |
+
"warmup_steps": 0,
|
| 30 |
+
"lr_scheduler": "constant",
|
| 31 |
+
"max_grad_norm": 1.0,
|
| 32 |
+
"save_steps": 300,
|
| 33 |
+
"eval_steps": 75,
|
| 34 |
+
"eval_batches": 50,
|
| 35 |
+
"logging_steps": 10,
|
| 36 |
+
"seed": 42,
|
| 37 |
+
"verbose": true,
|
| 38 |
+
"checkpoint_activations": false
|
| 39 |
+
},
|
| 40 |
+
"distributed": {
|
| 41 |
+
"strategy": "ddp",
|
| 42 |
+
"mixed_precision": "bf16"
|
| 43 |
+
},
|
| 44 |
+
"wandb": {
|
| 45 |
+
"enabled": false,
|
| 46 |
+
"project": "stochastic_sparsity",
|
| 47 |
+
"name": "dropctl_calib_p28_verify",
|
| 48 |
+
"tags": [
|
| 49 |
+
"qwen3",
|
| 50 |
+
"365m",
|
| 51 |
+
"8k",
|
| 52 |
+
"scaleladder",
|
| 53 |
+
"dense"
|
| 54 |
+
]
|
| 55 |
+
},
|
| 56 |
+
"attention": {
|
| 57 |
+
"type": "sparse_stochastic",
|
| 58 |
+
"dense_mode": true,
|
| 59 |
+
"sparse_block_size": 128,
|
| 60 |
+
"sparse_num_random_blocks": 31,
|
| 61 |
+
"sparse_mask_pool_size": 1,
|
| 62 |
+
"sparse_val_dense_compare": false,
|
| 63 |
+
"dense_step_intervals": null,
|
| 64 |
+
"sparse_layer_indices": null,
|
| 65 |
+
"sparse_mask_cache_dir": null,
|
| 66 |
+
"sparse_mask_seed": 0
|
| 67 |
+
}
|
| 68 |
+
}
|
epfl_final/configs_dropctl/calib_p30_verify.json
ADDED
|
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": {
|
| 3 |
+
"path": "/mloscratch/homes/navasard/qwen3_06b_base",
|
| 4 |
+
"dtype": "bfloat16",
|
| 5 |
+
"init_from_scratch": false,
|
| 6 |
+
"hidden_size": 768,
|
| 7 |
+
"intermediate_size": 3072,
|
| 8 |
+
"num_hidden_layers": 28,
|
| 9 |
+
"num_attention_heads": 6,
|
| 10 |
+
"num_key_value_heads": 2,
|
| 11 |
+
"attention_dropout": 0.3
|
| 12 |
+
},
|
| 13 |
+
"data": {
|
| 14 |
+
"train_path": "/mloscratch/homes/navasard/data/fineweb_large/tokenized",
|
| 15 |
+
"val_path": "/mloscratch/homes/navasard/data/fineweb_val_seed42",
|
| 16 |
+
"max_seq_length": 8192,
|
| 17 |
+
"num_workers": 8
|
| 18 |
+
},
|
| 19 |
+
"training": {
|
| 20 |
+
"output_dir": "/mloscratch/homes/navasard/sparse/checkpoints/dropctl_calib_p30_verify",
|
| 21 |
+
"resume_from_checkpoint": "/mloscratch/homes/navasard/sparse/checkpoints/l8k365m_dense/run_20260707_034553/checkpoint-44000",
|
| 22 |
+
"force_new_run": true,
|
| 23 |
+
"num_epochs": 1,
|
| 24 |
+
"max_steps": 44300,
|
| 25 |
+
"per_device_batch_size": 2,
|
| 26 |
+
"gradient_accumulation_steps": 10,
|
| 27 |
+
"learning_rate": 5e-05,
|
| 28 |
+
"weight_decay": 0.01,
|
| 29 |
+
"warmup_steps": 0,
|
| 30 |
+
"lr_scheduler": "constant",
|
| 31 |
+
"max_grad_norm": 1.0,
|
| 32 |
+
"save_steps": 300,
|
| 33 |
+
"eval_steps": 75,
|
| 34 |
+
"eval_batches": 50,
|
| 35 |
+
"logging_steps": 10,
|
| 36 |
+
"seed": 42,
|
| 37 |
+
"verbose": true,
|
| 38 |
+
"checkpoint_activations": false
|
| 39 |
+
},
|
| 40 |
+
"distributed": {
|
| 41 |
+
"strategy": "ddp",
|
| 42 |
+
"mixed_precision": "bf16"
|
| 43 |
+
},
|
| 44 |
+
"wandb": {
|
| 45 |
+
"enabled": false,
|
| 46 |
+
"project": "stochastic_sparsity",
|
| 47 |
+
"name": "dropctl_calib_p30_verify",
|
| 48 |
+
"tags": [
|
| 49 |
+
"qwen3",
|
| 50 |
+
"365m",
|
| 51 |
+
"8k",
|
| 52 |
+
"scaleladder",
|
| 53 |
+
"dense"
|
| 54 |
+
]
|
| 55 |
+
},
|
| 56 |
+
"attention": {
|
| 57 |
+
"type": "sparse_stochastic",
|
| 58 |
+
"dense_mode": true,
|
| 59 |
+
"sparse_block_size": 128,
|
| 60 |
+
"sparse_num_random_blocks": 31,
|
| 61 |
+
"sparse_mask_pool_size": 1,
|
| 62 |
+
"sparse_val_dense_compare": false,
|
| 63 |
+
"dense_step_intervals": null,
|
| 64 |
+
"sparse_layer_indices": null,
|
| 65 |
+
"sparse_mask_cache_dir": null,
|
| 66 |
+
"sparse_mask_seed": 0
|
| 67 |
+
}
|
| 68 |
+
}
|
epfl_final/configs_dropctl/diag_p28_20.json
ADDED
|
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": {
|
| 3 |
+
"path": "/mloscratch/homes/navasard/qwen3_06b_base",
|
| 4 |
+
"dtype": "bfloat16",
|
| 5 |
+
"init_from_scratch": false,
|
| 6 |
+
"hidden_size": 768,
|
| 7 |
+
"intermediate_size": 3072,
|
| 8 |
+
"num_hidden_layers": 28,
|
| 9 |
+
"num_attention_heads": 6,
|
| 10 |
+
"num_key_value_heads": 2,
|
| 11 |
+
"attention_dropout": 0.28
|
| 12 |
+
},
|
| 13 |
+
"data": {
|
| 14 |
+
"train_path": "/mloscratch/homes/navasard/data/fineweb_large/tokenized",
|
| 15 |
+
"val_path": "/mloscratch/homes/navasard/data/fineweb_val_seed42",
|
| 16 |
+
"max_seq_length": 8192,
|
| 17 |
+
"num_workers": 8
|
| 18 |
+
},
|
| 19 |
+
"training": {
|
| 20 |
+
"output_dir": "/mloscratch/homes/navasard/sparse/checkpoints/dropctl_diag_p28_20",
|
| 21 |
+
"resume_from_checkpoint": "/mloscratch/homes/navasard/sparse/checkpoints/l8k365m_dense/run_20260707_034553/checkpoint-44000",
|
| 22 |
+
"force_new_run": true,
|
| 23 |
+
"num_epochs": 1,
|
| 24 |
+
"max_steps": 44020,
|
| 25 |
+
"per_device_batch_size": 2,
|
| 26 |
+
"gradient_accumulation_steps": 10,
|
| 27 |
+
"learning_rate": 5e-05,
|
| 28 |
+
"weight_decay": 0.01,
|
| 29 |
+
"warmup_steps": 0,
|
| 30 |
+
"lr_scheduler": "constant",
|
| 31 |
+
"max_grad_norm": 1.0,
|
| 32 |
+
"save_steps": 20,
|
| 33 |
+
"eval_steps": 25,
|
| 34 |
+
"eval_batches": 50,
|
| 35 |
+
"logging_steps": 10,
|
| 36 |
+
"seed": 42,
|
| 37 |
+
"verbose": true,
|
| 38 |
+
"checkpoint_activations": false
|
| 39 |
+
},
|
| 40 |
+
"distributed": {
|
| 41 |
+
"strategy": "ddp",
|
| 42 |
+
"mixed_precision": "bf16"
|
| 43 |
+
},
|
| 44 |
+
"wandb": {
|
| 45 |
+
"enabled": false,
|
| 46 |
+
"project": "stochastic_sparsity",
|
| 47 |
+
"name": "dropctl_diag_p28_20",
|
| 48 |
+
"tags": [
|
| 49 |
+
"qwen3",
|
| 50 |
+
"365m",
|
| 51 |
+
"8k",
|
| 52 |
+
"scaleladder",
|
| 53 |
+
"dense"
|
| 54 |
+
]
|
| 55 |
+
},
|
| 56 |
+
"attention": {
|
| 57 |
+
"type": "sparse_stochastic",
|
| 58 |
+
"dense_mode": true,
|
| 59 |
+
"sparse_block_size": 128,
|
| 60 |
+
"sparse_num_random_blocks": 31,
|
| 61 |
+
"sparse_mask_pool_size": 1,
|
| 62 |
+
"sparse_val_dense_compare": false,
|
| 63 |
+
"dense_step_intervals": null,
|
| 64 |
+
"sparse_layer_indices": null,
|
| 65 |
+
"sparse_mask_cache_dir": null,
|
| 66 |
+
"sparse_mask_seed": 0
|
| 67 |
+
}
|
| 68 |
+
}
|
epfl_final/configs_dropctl/full_p28/seed42.json
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": {
|
| 3 |
+
"path": "/mloscratch/homes/navasard/qwen3_06b_base",
|
| 4 |
+
"dtype": "bfloat16",
|
| 5 |
+
"init_from_scratch": true,
|
| 6 |
+
"hidden_size": 768,
|
| 7 |
+
"intermediate_size": 3072,
|
| 8 |
+
"num_hidden_layers": 28,
|
| 9 |
+
"num_attention_heads": 6,
|
| 10 |
+
"num_key_value_heads": 2,
|
| 11 |
+
"attention_dropout": 0.28
|
| 12 |
+
},
|
| 13 |
+
"data": {
|
| 14 |
+
"train_path": "/mloscratch/homes/navasard/data/fineweb_large/tokenized",
|
| 15 |
+
"val_path": null,
|
| 16 |
+
"max_seq_length": 8192,
|
| 17 |
+
"num_workers": 8
|
| 18 |
+
},
|
| 19 |
+
"training": {
|
| 20 |
+
"output_dir": "/mloscratch/homes/navasard/sparse/checkpoints/l8k365m_dense_dropout_p28_seed42",
|
| 21 |
+
"force_new_run": true,
|
| 22 |
+
"num_epochs": 1,
|
| 23 |
+
"max_steps": 44000,
|
| 24 |
+
"per_device_batch_size": 2,
|
| 25 |
+
"gradient_accumulation_steps": 10,
|
| 26 |
+
"learning_rate": 0.0005,
|
| 27 |
+
"weight_decay": 0.01,
|
| 28 |
+
"warmup_steps": 750,
|
| 29 |
+
"lr_scheduler": "cosine",
|
| 30 |
+
"max_grad_norm": 1.0,
|
| 31 |
+
"save_steps": 1000,
|
| 32 |
+
"eval_steps": 1000,
|
| 33 |
+
"eval_batches": 50,
|
| 34 |
+
"logging_steps": 10,
|
| 35 |
+
"seed": 42,
|
| 36 |
+
"verbose": true,
|
| 37 |
+
"checkpoint_activations": false
|
| 38 |
+
},
|
| 39 |
+
"distributed": {
|
| 40 |
+
"strategy": "ddp",
|
| 41 |
+
"mixed_precision": "bf16"
|
| 42 |
+
},
|
| 43 |
+
"wandb": {
|
| 44 |
+
"enabled": false,
|
| 45 |
+
"project": "stochastic_sparsity",
|
| 46 |
+
"name": "l8k365m_dense_dropout_p28_seed42",
|
| 47 |
+
"tags": [
|
| 48 |
+
"qwen3",
|
| 49 |
+
"365m",
|
| 50 |
+
"8k",
|
| 51 |
+
"scaleladder",
|
| 52 |
+
"dense"
|
| 53 |
+
]
|
| 54 |
+
},
|
| 55 |
+
"attention": {
|
| 56 |
+
"type": "sparse_stochastic",
|
| 57 |
+
"dense_mode": true,
|
| 58 |
+
"sparse_block_size": 128,
|
| 59 |
+
"sparse_num_random_blocks": 31,
|
| 60 |
+
"sparse_mask_pool_size": 1,
|
| 61 |
+
"sparse_val_dense_compare": false,
|
| 62 |
+
"dense_step_intervals": null,
|
| 63 |
+
"sparse_layer_indices": null,
|
| 64 |
+
"sparse_mask_cache_dir": null,
|
| 65 |
+
"sparse_mask_seed": 0
|
| 66 |
+
}
|
| 67 |
+
}
|
epfl_final/configs_dropctl/full_p28/seed43.json
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": {
|
| 3 |
+
"path": "/mloscratch/homes/navasard/qwen3_06b_base",
|
| 4 |
+
"dtype": "bfloat16",
|
| 5 |
+
"init_from_scratch": true,
|
| 6 |
+
"hidden_size": 768,
|
| 7 |
+
"intermediate_size": 3072,
|
| 8 |
+
"num_hidden_layers": 28,
|
| 9 |
+
"num_attention_heads": 6,
|
| 10 |
+
"num_key_value_heads": 2,
|
| 11 |
+
"attention_dropout": 0.28
|
| 12 |
+
},
|
| 13 |
+
"data": {
|
| 14 |
+
"train_path": "/mloscratch/homes/navasard/data/fineweb_large/tokenized",
|
| 15 |
+
"val_path": null,
|
| 16 |
+
"max_seq_length": 8192,
|
| 17 |
+
"num_workers": 8
|
| 18 |
+
},
|
| 19 |
+
"training": {
|
| 20 |
+
"output_dir": "/mloscratch/homes/navasard/sparse/checkpoints/l8k365m_dense_dropout_p28_seed43",
|
| 21 |
+
"force_new_run": true,
|
| 22 |
+
"num_epochs": 1,
|
| 23 |
+
"max_steps": 44000,
|
| 24 |
+
"per_device_batch_size": 2,
|
| 25 |
+
"gradient_accumulation_steps": 10,
|
| 26 |
+
"learning_rate": 0.0005,
|
| 27 |
+
"weight_decay": 0.01,
|
| 28 |
+
"warmup_steps": 750,
|
| 29 |
+
"lr_scheduler": "cosine",
|
| 30 |
+
"max_grad_norm": 1.0,
|
| 31 |
+
"save_steps": 1000,
|
| 32 |
+
"eval_steps": 1000,
|
| 33 |
+
"eval_batches": 50,
|
| 34 |
+
"logging_steps": 10,
|
| 35 |
+
"seed": 43,
|
| 36 |
+
"verbose": true,
|
| 37 |
+
"checkpoint_activations": false
|
| 38 |
+
},
|
| 39 |
+
"distributed": {
|
| 40 |
+
"strategy": "ddp",
|
| 41 |
+
"mixed_precision": "bf16"
|
| 42 |
+
},
|
| 43 |
+
"wandb": {
|
| 44 |
+
"enabled": false,
|
| 45 |
+
"project": "stochastic_sparsity",
|
| 46 |
+
"name": "l8k365m_dense_dropout_p28_seed43",
|
| 47 |
+
"tags": [
|
| 48 |
+
"qwen3",
|
| 49 |
+
"365m",
|
| 50 |
+
"8k",
|
| 51 |
+
"scaleladder",
|
| 52 |
+
"dense"
|
| 53 |
+
]
|
| 54 |
+
},
|
| 55 |
+
"attention": {
|
| 56 |
+
"type": "sparse_stochastic",
|
| 57 |
+
"dense_mode": true,
|
| 58 |
+
"sparse_block_size": 128,
|
| 59 |
+
"sparse_num_random_blocks": 31,
|
| 60 |
+
"sparse_mask_pool_size": 1,
|
| 61 |
+
"sparse_val_dense_compare": false,
|
| 62 |
+
"dense_step_intervals": null,
|
| 63 |
+
"sparse_layer_indices": null,
|
| 64 |
+
"sparse_mask_cache_dir": null,
|
| 65 |
+
"sparse_mask_seed": 0
|
| 66 |
+
}
|
| 67 |
+
}
|
epfl_final/configs_dropctl/full_p28/seed44.json
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": {
|
| 3 |
+
"path": "/mloscratch/homes/navasard/qwen3_06b_base",
|
| 4 |
+
"dtype": "bfloat16",
|
| 5 |
+
"init_from_scratch": true,
|
| 6 |
+
"hidden_size": 768,
|
| 7 |
+
"intermediate_size": 3072,
|
| 8 |
+
"num_hidden_layers": 28,
|
| 9 |
+
"num_attention_heads": 6,
|
| 10 |
+
"num_key_value_heads": 2,
|
| 11 |
+
"attention_dropout": 0.28
|
| 12 |
+
},
|
| 13 |
+
"data": {
|
| 14 |
+
"train_path": "/mloscratch/homes/navasard/data/fineweb_large/tokenized",
|
| 15 |
+
"val_path": null,
|
| 16 |
+
"max_seq_length": 8192,
|
| 17 |
+
"num_workers": 8
|
| 18 |
+
},
|
| 19 |
+
"training": {
|
| 20 |
+
"output_dir": "/mloscratch/homes/navasard/sparse/checkpoints/l8k365m_dense_dropout_p28_seed44",
|
| 21 |
+
"force_new_run": true,
|
| 22 |
+
"num_epochs": 1,
|
| 23 |
+
"max_steps": 44000,
|
| 24 |
+
"per_device_batch_size": 2,
|
| 25 |
+
"gradient_accumulation_steps": 10,
|
| 26 |
+
"learning_rate": 0.0005,
|
| 27 |
+
"weight_decay": 0.01,
|
| 28 |
+
"warmup_steps": 750,
|
| 29 |
+
"lr_scheduler": "cosine",
|
| 30 |
+
"max_grad_norm": 1.0,
|
| 31 |
+
"save_steps": 1000,
|
| 32 |
+
"eval_steps": 1000,
|
| 33 |
+
"eval_batches": 50,
|
| 34 |
+
"logging_steps": 10,
|
| 35 |
+
"seed": 44,
|
| 36 |
+
"verbose": true,
|
| 37 |
+
"checkpoint_activations": false
|
| 38 |
+
},
|
| 39 |
+
"distributed": {
|
| 40 |
+
"strategy": "ddp",
|
| 41 |
+
"mixed_precision": "bf16"
|
| 42 |
+
},
|
| 43 |
+
"wandb": {
|
| 44 |
+
"enabled": false,
|
| 45 |
+
"project": "stochastic_sparsity",
|
| 46 |
+
"name": "l8k365m_dense_dropout_p28_seed44",
|
| 47 |
+
"tags": [
|
| 48 |
+
"qwen3",
|
| 49 |
+
"365m",
|
| 50 |
+
"8k",
|
| 51 |
+
"scaleladder",
|
| 52 |
+
"dense"
|
| 53 |
+
]
|
| 54 |
+
},
|
| 55 |
+
"attention": {
|
| 56 |
+
"type": "sparse_stochastic",
|
| 57 |
+
"dense_mode": true,
|
| 58 |
+
"sparse_block_size": 128,
|
| 59 |
+
"sparse_num_random_blocks": 31,
|
| 60 |
+
"sparse_mask_pool_size": 1,
|
| 61 |
+
"sparse_val_dense_compare": false,
|
| 62 |
+
"dense_step_intervals": null,
|
| 63 |
+
"sparse_layer_indices": null,
|
| 64 |
+
"sparse_mask_cache_dir": null,
|
| 65 |
+
"sparse_mask_seed": 0
|
| 66 |
+
}
|
| 67 |
+
}
|
epfl_final/configs_dropctl/full_p28/seed45.json
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": {
|
| 3 |
+
"path": "/mloscratch/homes/navasard/qwen3_06b_base",
|
| 4 |
+
"dtype": "bfloat16",
|
| 5 |
+
"init_from_scratch": true,
|
| 6 |
+
"hidden_size": 768,
|
| 7 |
+
"intermediate_size": 3072,
|
| 8 |
+
"num_hidden_layers": 28,
|
| 9 |
+
"num_attention_heads": 6,
|
| 10 |
+
"num_key_value_heads": 2,
|
| 11 |
+
"attention_dropout": 0.28
|
| 12 |
+
},
|
| 13 |
+
"data": {
|
| 14 |
+
"train_path": "/mloscratch/homes/navasard/data/fineweb_large/tokenized",
|
| 15 |
+
"val_path": null,
|
| 16 |
+
"max_seq_length": 8192,
|
| 17 |
+
"num_workers": 8
|
| 18 |
+
},
|
| 19 |
+
"training": {
|
| 20 |
+
"output_dir": "/mloscratch/homes/navasard/sparse/checkpoints/l8k365m_dense_dropout_p28_seed45",
|
| 21 |
+
"force_new_run": true,
|
| 22 |
+
"num_epochs": 1,
|
| 23 |
+
"max_steps": 44000,
|
| 24 |
+
"per_device_batch_size": 2,
|
| 25 |
+
"gradient_accumulation_steps": 10,
|
| 26 |
+
"learning_rate": 0.0005,
|
| 27 |
+
"weight_decay": 0.01,
|
| 28 |
+
"warmup_steps": 750,
|
| 29 |
+
"lr_scheduler": "cosine",
|
| 30 |
+
"max_grad_norm": 1.0,
|
| 31 |
+
"save_steps": 1000,
|
| 32 |
+
"eval_steps": 1000,
|
| 33 |
+
"eval_batches": 50,
|
| 34 |
+
"logging_steps": 10,
|
| 35 |
+
"seed": 45,
|
| 36 |
+
"verbose": true,
|
| 37 |
+
"checkpoint_activations": false
|
| 38 |
+
},
|
| 39 |
+
"distributed": {
|
| 40 |
+
"strategy": "ddp",
|
| 41 |
+
"mixed_precision": "bf16"
|
| 42 |
+
},
|
| 43 |
+
"wandb": {
|
| 44 |
+
"enabled": false,
|
| 45 |
+
"project": "stochastic_sparsity",
|
| 46 |
+
"name": "l8k365m_dense_dropout_p28_seed45",
|
| 47 |
+
"tags": [
|
| 48 |
+
"qwen3",
|
| 49 |
+
"365m",
|
| 50 |
+
"8k",
|
| 51 |
+
"scaleladder",
|
| 52 |
+
"dense"
|
| 53 |
+
]
|
| 54 |
+
},
|
| 55 |
+
"attention": {
|
| 56 |
+
"type": "sparse_stochastic",
|
| 57 |
+
"dense_mode": true,
|
| 58 |
+
"sparse_block_size": 128,
|
| 59 |
+
"sparse_num_random_blocks": 31,
|
| 60 |
+
"sparse_mask_pool_size": 1,
|
| 61 |
+
"sparse_val_dense_compare": false,
|
| 62 |
+
"dense_step_intervals": null,
|
| 63 |
+
"sparse_layer_indices": null,
|
| 64 |
+
"sparse_mask_cache_dir": null,
|
| 65 |
+
"sparse_mask_seed": 0
|
| 66 |
+
}
|
| 67 |
+
}
|
epfl_final/configs_dropctl/full_p28/seed46.json
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": {
|
| 3 |
+
"path": "/mloscratch/homes/navasard/qwen3_06b_base",
|
| 4 |
+
"dtype": "bfloat16",
|
| 5 |
+
"init_from_scratch": true,
|
| 6 |
+
"hidden_size": 768,
|
| 7 |
+
"intermediate_size": 3072,
|
| 8 |
+
"num_hidden_layers": 28,
|
| 9 |
+
"num_attention_heads": 6,
|
| 10 |
+
"num_key_value_heads": 2,
|
| 11 |
+
"attention_dropout": 0.28
|
| 12 |
+
},
|
| 13 |
+
"data": {
|
| 14 |
+
"train_path": "/mloscratch/homes/navasard/data/fineweb_large/tokenized",
|
| 15 |
+
"val_path": null,
|
| 16 |
+
"max_seq_length": 8192,
|
| 17 |
+
"num_workers": 8
|
| 18 |
+
},
|
| 19 |
+
"training": {
|
| 20 |
+
"output_dir": "/mloscratch/homes/navasard/sparse/checkpoints/l8k365m_dense_dropout_p28_seed46",
|
| 21 |
+
"force_new_run": true,
|
| 22 |
+
"num_epochs": 1,
|
| 23 |
+
"max_steps": 44000,
|
| 24 |
+
"per_device_batch_size": 2,
|
| 25 |
+
"gradient_accumulation_steps": 10,
|
| 26 |
+
"learning_rate": 0.0005,
|
| 27 |
+
"weight_decay": 0.01,
|
| 28 |
+
"warmup_steps": 750,
|
| 29 |
+
"lr_scheduler": "cosine",
|
| 30 |
+
"max_grad_norm": 1.0,
|
| 31 |
+
"save_steps": 1000,
|
| 32 |
+
"eval_steps": 1000,
|
| 33 |
+
"eval_batches": 50,
|
| 34 |
+
"logging_steps": 10,
|
| 35 |
+
"seed": 46,
|
| 36 |
+
"verbose": true,
|
| 37 |
+
"checkpoint_activations": false
|
| 38 |
+
},
|
| 39 |
+
"distributed": {
|
| 40 |
+
"strategy": "ddp",
|
| 41 |
+
"mixed_precision": "bf16"
|
| 42 |
+
},
|
| 43 |
+
"wandb": {
|
| 44 |
+
"enabled": false,
|
| 45 |
+
"project": "stochastic_sparsity",
|
| 46 |
+
"name": "l8k365m_dense_dropout_p28_seed46",
|
| 47 |
+
"tags": [
|
| 48 |
+
"qwen3",
|
| 49 |
+
"365m",
|
| 50 |
+
"8k",
|
| 51 |
+
"scaleladder",
|
| 52 |
+
"dense"
|
| 53 |
+
]
|
| 54 |
+
},
|
| 55 |
+
"attention": {
|
| 56 |
+
"type": "sparse_stochastic",
|
| 57 |
+
"dense_mode": true,
|
| 58 |
+
"sparse_block_size": 128,
|
| 59 |
+
"sparse_num_random_blocks": 31,
|
| 60 |
+
"sparse_mask_pool_size": 1,
|
| 61 |
+
"sparse_val_dense_compare": false,
|
| 62 |
+
"dense_step_intervals": null,
|
| 63 |
+
"sparse_layer_indices": null,
|
| 64 |
+
"sparse_mask_cache_dir": null,
|
| 65 |
+
"sparse_mask_seed": 0
|
| 66 |
+
}
|
| 67 |
+
}
|
epfl_final/configs_dropctl/resume_p28/seed42.json
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": {
|
| 3 |
+
"path": "/mloscratch/homes/navasard/qwen3_06b_base",
|
| 4 |
+
"dtype": "bfloat16",
|
| 5 |
+
"init_from_scratch": true,
|
| 6 |
+
"hidden_size": 768,
|
| 7 |
+
"intermediate_size": 3072,
|
| 8 |
+
"num_hidden_layers": 28,
|
| 9 |
+
"num_attention_heads": 6,
|
| 10 |
+
"num_key_value_heads": 2,
|
| 11 |
+
"attention_dropout": 0.28
|
| 12 |
+
},
|
| 13 |
+
"data": {
|
| 14 |
+
"train_path": "/mloscratch/homes/navasard/data/fineweb_large/tokenized",
|
| 15 |
+
"val_path": null,
|
| 16 |
+
"max_seq_length": 8192,
|
| 17 |
+
"num_workers": 8
|
| 18 |
+
},
|
| 19 |
+
"training": {
|
| 20 |
+
"output_dir": "/mloscratch/homes/navasard/sparse/checkpoints/l8k365m_dense_dropout_p28_seed42",
|
| 21 |
+
"force_new_run": false,
|
| 22 |
+
"num_epochs": 1,
|
| 23 |
+
"max_steps": 44000,
|
| 24 |
+
"per_device_batch_size": 2,
|
| 25 |
+
"gradient_accumulation_steps": 10,
|
| 26 |
+
"learning_rate": 0.0005,
|
| 27 |
+
"weight_decay": 0.01,
|
| 28 |
+
"warmup_steps": 750,
|
| 29 |
+
"lr_scheduler": "cosine",
|
| 30 |
+
"max_grad_norm": 1.0,
|
| 31 |
+
"save_steps": 1000,
|
| 32 |
+
"eval_steps": 1000,
|
| 33 |
+
"eval_batches": 50,
|
| 34 |
+
"logging_steps": 10,
|
| 35 |
+
"seed": 42,
|
| 36 |
+
"verbose": true,
|
| 37 |
+
"checkpoint_activations": false
|
| 38 |
+
},
|
| 39 |
+
"distributed": {
|
| 40 |
+
"strategy": "ddp",
|
| 41 |
+
"mixed_precision": "bf16"
|
| 42 |
+
},
|
| 43 |
+
"wandb": {
|
| 44 |
+
"enabled": false,
|
| 45 |
+
"project": "stochastic_sparsity",
|
| 46 |
+
"name": "l8k365m_dense_dropout_p28_seed42",
|
| 47 |
+
"tags": [
|
| 48 |
+
"qwen3",
|
| 49 |
+
"365m",
|
| 50 |
+
"8k",
|
| 51 |
+
"scaleladder",
|
| 52 |
+
"dense"
|
| 53 |
+
]
|
| 54 |
+
},
|
| 55 |
+
"attention": {
|
| 56 |
+
"type": "sparse_stochastic",
|
| 57 |
+
"dense_mode": true,
|
| 58 |
+
"sparse_block_size": 128,
|
| 59 |
+
"sparse_num_random_blocks": 31,
|
| 60 |
+
"sparse_mask_pool_size": 1,
|
| 61 |
+
"sparse_val_dense_compare": false,
|
| 62 |
+
"dense_step_intervals": null,
|
| 63 |
+
"sparse_layer_indices": null,
|
| 64 |
+
"sparse_mask_cache_dir": null,
|
| 65 |
+
"sparse_mask_seed": 0
|
| 66 |
+
}
|
| 67 |
+
}
|
epfl_final/configs_dropctl/resume_p28/seed43.json
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": {
|
| 3 |
+
"path": "/mloscratch/homes/navasard/qwen3_06b_base",
|
| 4 |
+
"dtype": "bfloat16",
|
| 5 |
+
"init_from_scratch": true,
|
| 6 |
+
"hidden_size": 768,
|
| 7 |
+
"intermediate_size": 3072,
|
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|
| 9 |
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| 10 |
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| 11 |
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|
| 12 |
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| 13 |
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| 14 |
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| 17 |
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|
| 18 |
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|
| 20 |
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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 |
+
"logging_steps": 10,
|
| 35 |
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"seed": 43,
|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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"name": "l8k365m_dense_dropout_p28_seed43",
|
| 47 |
+
"tags": [
|
| 48 |
+
"qwen3",
|
| 49 |
+
"365m",
|
| 50 |
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"8k",
|
| 51 |
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"scaleladder",
|
| 52 |
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"dense"
|
| 53 |
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|
| 54 |
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|
| 55 |
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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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| 66 |
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|
| 67 |
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}
|
epfl_final/configs_dropctl/resume_p28/seed44.json
ADDED
|
@@ -0,0 +1,67 @@
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|
| 1 |
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{
|
| 2 |
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|
| 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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|
| 8 |
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|
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|
| 10 |
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|
| 11 |
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|
| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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| 20 |
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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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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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"tags": [
|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 67 |
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|
epfl_final/models/ALIBI_20260921/1p2b_alibi_s42/run_20260922_004519/checkpoint-17000/config.json
ADDED
|
@@ -0,0 +1,38 @@
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|
epfl_final/models/ALIBI_20260921/1p2b_alibi_s42/run_20260922_004519/checkpoint-17000/loader_gen_state_rank0.pt
ADDED
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epfl_final/models/ALIBI_20260921/1p2b_alibi_s42/run_20260922_004519/checkpoint-17000/loader_gen_state_rank1.pt
ADDED
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ADDED
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ADDED
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ADDED
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epfl_final/models/ALIBI_20260921/1p2b_alibi_s42/run_20260922_004519/checkpoint-17000/rng_state_rank2.pt
ADDED
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ADDED
|
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epfl_final/models/ALIBI_20260921/365m_alibi_s42/run_20260921_142951/checkpoint-44000/config.json
ADDED
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| 38 |
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|
epfl_final/models/ALIBI_20260921/365m_alibi_s42/run_20260921_142951/checkpoint-44000/model.pt
ADDED
|
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epfl_final/models/ALIBI_20260921/365m_alibi_s43/run_20260921_142951/checkpoint-44000/config.json
ADDED
|
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| 38 |
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}
|
epfl_final/models/ALIBI_20260921/365m_alibi_s43/run_20260921_142951/checkpoint-44000/model.pt
ADDED
|
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size 718031899
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epfl_final/models/ALIBI_20260921/365m_alibi_s44/run_20260921_142951/checkpoint-44000/config.json
ADDED
|
@@ -0,0 +1,38 @@
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|
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|
| 36 |
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|
| 37 |
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|
| 38 |
+
}
|
epfl_final/models/ALIBI_20260921/365m_alibi_s44/run_20260921_142951/checkpoint-44000/model.pt
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 718031899
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epfl_final/models/ALIBI_20260921/365m_alibi_s45/run_20260921_142951/checkpoint-44000/config.json
ADDED
|
@@ -0,0 +1,38 @@
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|
| 37 |
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|
| 38 |
+
}
|
epfl_final/models/ALIBI_20260921/365m_alibi_s45/run_20260921_142951/checkpoint-44000/model.pt
ADDED
|
@@ -0,0 +1,3 @@
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size 718031899
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epfl_final/models/ALIBI_20260921/365m_alibi_s46/run_20260921_142951/checkpoint-44000/config.json
ADDED
|
@@ -0,0 +1,38 @@
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|
| 38 |
+
}
|
epfl_final/models/ALIBI_20260921/365m_alibi_s46/run_20260921_142951/checkpoint-44000/model.pt
ADDED
|
@@ -0,0 +1,3 @@
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size 718031899
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epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/config.json
ADDED
|
@@ -0,0 +1,38 @@
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| 38 |
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}
|
epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/loader_gen_state_rank0.pt
ADDED
|
@@ -0,0 +1,3 @@
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size 6802
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epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/loader_gen_state_rank1.pt
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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size 6802
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epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/loader_gen_state_rank2.pt
ADDED
|
@@ -0,0 +1,3 @@
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epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/loader_gen_state_rank3.pt
ADDED
|
@@ -0,0 +1,3 @@
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size 6802
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epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/loader_gen_state_rank4.pt
ADDED
|
@@ -0,0 +1,3 @@
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size 6802
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epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/model.pt
ADDED
|
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size 718031899
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epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/rng_state_rank0.pt
ADDED
|
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epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/rng_state_rank4.pt
ADDED
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epfl_final/models/ALIBI_20260921/365m_alibi_s47/run_20260921_142951/checkpoint-5000/training_state.pt
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epfl_final/models/ALIBI_20260921/365m_alibi_s47_restart_20260922/run_20260922_192827/checkpoint-44000/model.pt
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