Auto upload zain 2026-08-12T20:53:45.402352
Browse files- .gitattributes +1 -0
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{"step": 150, "epoch": 0.005055611729019211, "timestamp": 1786567907.3142965, "eval_loss": 5.7081780433654785, "eval_runtime": 19.2404, "eval_samples_per_second": 495.155, "eval_steps_per_second": 0.52, "train/total_time_seconds": 45.015298429876566, "train/time_per_step_avg": 0.302173957824707, "train/epoch_time_elapsed": 107.47294987365603, "train/estimated_remaining_minutes": 1.7505949389396442}
|
| 13 |
+
{"step": 160, "epoch": 0.005392652510953826, "timestamp": 1786567910.5512593, "loss": 5.742493438720703, "grad_norm": 2.515625, "learning_rate": 0.0005565, "train/total_time_seconds": 47.99258862435818, "train/time_per_step_avg": 0.3023473943769932, "train/epoch_time_elapsed": 110.70991373807192, "train/estimated_remaining_minutes": 1.699737513779352}
|
| 14 |
+
{"step": 180, "epoch": 0.006066734074823054, "timestamp": 1786567917.0364354, "loss": 5.54938850402832, "grad_norm": 1.234375, "learning_rate": 0.0006265, "train/total_time_seconds": 53.95190108567476, "train/time_per_step_avg": 0.29988077126443385, "train/epoch_time_elapsed": 117.19508977606893, "train/estimated_remaining_minutes": 1.598574846982956}
|
| 15 |
+
{"step": 200, "epoch": 0.006740815638692282, "timestamp": 1786567923.5904472, "loss": 5.339012145996094, "grad_norm": 1.3671875, "learning_rate": 0.0006965, "train/total_time_seconds": 59.97218247875571, "train/time_per_step_avg": 0.29876786813139916, "train/epoch_time_elapsed": 123.7491016164422, "train/estimated_remaining_minutes": 1.4993045619688927}
|
| 16 |
+
{"step": 200, "epoch": 0.006740815638692282, "timestamp": 1786567943.0655806, "eval_loss": 5.230809211730957, "eval_runtime": 19.4737, "eval_samples_per_second": 489.224, "eval_steps_per_second": 0.514, "train/total_time_seconds": 59.97218247875571, "train/time_per_step_avg": 0.29876786813139916, "train/epoch_time_elapsed": 143.22423388436437, "train/estimated_remaining_minutes": 1.4993045619688927}
|
| 17 |
+
{"step": 220, "epoch": 0.00741489720256151, "timestamp": 1786567950.479565, "loss": 5.185653305053711, "grad_norm": 1.53125, "learning_rate": 0.0007, "train/total_time_seconds": 66.44817723333836, "train/time_per_step_avg": 0.3039952100813389, "train/epoch_time_elapsed": 150.6382187306881, "train/estimated_remaining_minutes": 1.4095067897980864}
|
| 18 |
+
{"step": 240, "epoch": 0.008088978766430738, "timestamp": 1786567957.093375, "loss": 4.989022064208984, "grad_norm": 1.65625, "learning_rate": 0.0007, "train/total_time_seconds": 72.52528139576316, "train/time_per_step_avg": 0.3052133969962597, "train/epoch_time_elapsed": 157.25202928483486, "train/estimated_remaining_minutes": 1.3094842474235016}
|
| 19 |
+
{"step": 250, "epoch": 0.008426019548365353, "timestamp": 1786567979.5580354, "eval_loss": 4.977165222167969, "eval_runtime": 19.1939, "eval_samples_per_second": 496.356, "eval_steps_per_second": 0.521, "train/total_time_seconds": 75.5365678369999, "train/time_per_step_avg": 0.30521269407123325, "train/epoch_time_elapsed": 179.71668792143464, "train/estimated_remaining_minutes": 1.2589427972833316}
|
| 20 |
+
{"step": 260, "epoch": 0.008763060330299966, "timestamp": 1786567982.802241, "loss": 4.932804870605469, "grad_norm": 0.6328125, "learning_rate": 0.0007, "train/total_time_seconds": 78.5190594010055, "train/time_per_step_avg": 0.3052647077664733, "train/epoch_time_elapsed": 182.96089447289705, "train/estimated_remaining_minutes": 1.2079855292462385}
|
| 21 |
+
{"step": 280, "epoch": 0.009437141894169195, "timestamp": 1786567989.3548305, "loss": 4.816947555541992, "grad_norm": 1.578125, "learning_rate": 0.0007, "train/total_time_seconds": 84.52964476123452, "train/time_per_step_avg": 0.3057774367555976, "train/epoch_time_elapsed": 189.5134849473834, "train/estimated_remaining_minutes": 1.1069358242542615}
|
| 22 |
+
{"step": 300, "epoch": 0.010111223458038422, "timestamp": 1786567995.863883, "loss": 4.680611419677734, "grad_norm": 1.84375, "learning_rate": 0.0007, "train/total_time_seconds": 90.51709629967809, "train/time_per_step_avg": 0.30544913820922376, "train/epoch_time_elapsed": 196.02253611385822, "train/estimated_remaining_minutes": 1.0057455144408676}
|
| 23 |
+
{"step": 300, "epoch": 0.010111223458038422, "timestamp": 1786568015.3927298, "eval_loss": 4.6526055335998535, "eval_runtime": 19.5274, "eval_samples_per_second": 487.879, "eval_steps_per_second": 0.512, "train/total_time_seconds": 90.51709629967809, "train/time_per_step_avg": 0.30544913820922376, "train/epoch_time_elapsed": 215.55138336867094, "train/estimated_remaining_minutes": 1.0057455144408676}
|
| 24 |
+
{"step": 320, "epoch": 0.010785305021907651, "timestamp": 1786568022.3550558, "loss": 4.554249954223633, "grad_norm": 0.90625, "learning_rate": 0.0007, "train/total_time_seconds": 96.5381933413446, "train/time_per_step_avg": 0.3009001610800624, "train/epoch_time_elapsed": 222.5137095414102, "train/estimated_remaining_minutes": 0.9050455625751056}
|
| 25 |
+
{"step": 340, "epoch": 0.011459386585776879, "timestamp": 1786568028.9446778, "loss": 4.416970825195312, "grad_norm": 0.69921875, "learning_rate": 0.0007, "train/total_time_seconds": 102.58192877471447, "train/time_per_step_avg": 0.3005664737895131, "train/epoch_time_elapsed": 229.10333258286119, "train/estimated_remaining_minutes": 0.8045641472526626}
|
zain/Activation/wandb/debug-internal.log
ADDED
|
@@ -0,0 +1,39 @@
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| 1 |
+
{"time":"2026-08-12T20:49:59.231329238Z","level":"INFO","msg":"wandb-core"}
|
| 2 |
+
{"time":"2026-08-12T20:49:59.231458005Z","level":"INFO","msg":"stream: starting","core version":"0.28.1"}
|
| 3 |
+
{"time":"2026-08-12T20:49:59.4901037Z","level":"INFO","msg":"stream: created new stream","id":"ha94g4f6"}
|
| 4 |
+
{"time":"2026-08-12T20:49:59.490189081Z","level":"INFO","msg":"handler: started"}
|
| 5 |
+
{"time":"2026-08-12T20:49:59.490265922Z","level":"INFO","msg":"stream: started"}
|
| 6 |
+
{"time":"2026-08-12T20:49:59.490276077Z","level":"INFO","msg":"writer: started","stream_id":"ha94g4f6"}
|
| 7 |
+
{"time":"2026-08-12T20:49:59.49030619Z","level":"INFO","msg":"sender: started"}
|
| 8 |
+
{"time":"2026-08-12T20:49:59.978334344Z","level":"INFO","msg":"filestream: sending request","total_files":1,"console_offset":0,"console_lines":1}
|
| 9 |
+
{"time":"2026-08-12T20:50:00.112397512Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 10 |
+
{"time":"2026-08-12T20:50:14.978575235Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":0,"history_lines":2,"events_offset":0,"events_lines":2,"console_offset":1,"console_lines":4,"uploaded_len":2}
|
| 11 |
+
{"time":"2026-08-12T20:50:15.141418893Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 12 |
+
{"time":"2026-08-12T20:50:29.978639147Z","level":"INFO","msg":"filestream: sending request","total_files":2,"events_offset":2,"events_lines":2,"console_offset":2,"console_lines":1}
|
| 13 |
+
{"time":"2026-08-12T20:50:30.112487958Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 14 |
+
{"time":"2026-08-12T20:50:44.979520057Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":2,"history_lines":2,"events_offset":4,"events_lines":2,"console_offset":2,"console_lines":1}
|
| 15 |
+
{"time":"2026-08-12T20:50:45.106709081Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 16 |
+
{"time":"2026-08-12T20:50:59.978634412Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":4,"history_lines":2,"events_offset":6,"events_lines":1,"console_offset":2,"console_lines":1}
|
| 17 |
+
{"time":"2026-08-12T20:51:00.176400181Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 18 |
+
{"time":"2026-08-12T20:51:14.978675737Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":6,"history_lines":1,"events_offset":7,"events_lines":3,"console_offset":2,"console_lines":1}
|
| 19 |
+
{"time":"2026-08-12T20:51:15.136480688Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 20 |
+
{"time":"2026-08-12T20:51:29.978816851Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":7,"history_lines":2,"events_offset":10,"events_lines":2,"console_offset":5,"console_lines":12}
|
| 21 |
+
{"time":"2026-08-12T20:51:30.144315427Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 22 |
+
{"time":"2026-08-12T20:51:44.978880235Z","level":"INFO","msg":"filestream: sending request","total_files":2,"events_offset":12,"events_lines":2,"console_offset":17,"console_lines":1}
|
| 23 |
+
{"time":"2026-08-12T20:51:45.106187785Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 24 |
+
{"time":"2026-08-12T20:51:59.9795397Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":9,"history_lines":3,"events_offset":14,"events_lines":2,"console_offset":14,"console_lines":1}
|
| 25 |
+
{"time":"2026-08-12T20:52:00.115108282Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 26 |
+
{"time":"2026-08-12T20:52:14.978616189Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":12,"history_lines":1,"events_offset":16,"events_lines":2,"console_offset":14,"console_lines":1}
|
| 27 |
+
{"time":"2026-08-12T20:52:15.144083803Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 28 |
+
{"time":"2026-08-12T20:52:29.979233536Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":13,"history_lines":1,"events_offset":18,"events_lines":2,"console_offset":14,"console_lines":1}
|
| 29 |
+
{"time":"2026-08-12T20:52:30.115302332Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 30 |
+
{"time":"2026-08-12T20:52:44.979378867Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":14,"history_lines":2,"events_offset":20,"events_lines":2,"console_offset":17,"console_lines":13}
|
| 31 |
+
{"time":"2026-08-12T20:52:45.104669417Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 32 |
+
{"time":"2026-08-12T20:52:59.97898149Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":16,"history_lines":1,"events_offset":22,"events_lines":2,"console_offset":26,"console_lines":1}
|
| 33 |
+
{"time":"2026-08-12T20:53:00.121062111Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 34 |
+
{"time":"2026-08-12T20:53:14.979322756Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":17,"history_lines":2,"events_offset":24,"events_lines":2,"console_offset":26,"console_lines":1}
|
| 35 |
+
{"time":"2026-08-12T20:53:15.120861918Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 36 |
+
{"time":"2026-08-12T20:53:29.979219904Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":19,"history_lines":1,"events_offset":26,"events_lines":2,"console_offset":26,"console_lines":1}
|
| 37 |
+
{"time":"2026-08-12T20:53:30.146291299Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 38 |
+
{"time":"2026-08-12T20:53:44.979549283Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":20,"history_lines":2,"events_offset":28,"events_lines":2,"console_offset":26,"console_lines":1}
|
| 39 |
+
{"time":"2026-08-12T20:53:45.134028333Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
zain/Activation/wandb/debug.log
ADDED
|
@@ -0,0 +1,23 @@
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|
| 1 |
+
2026-08-12 20:49:59,229 INFO MainThread:3035682 [wandb_setup.py:_flush():81] Current SDK version is 0.28.1
|
| 2 |
+
2026-08-12 20:49:59,229 INFO MainThread:3035682 [wandb_setup.py:_flush():81] Configure stats pid to 3035682
|
| 3 |
+
2026-08-12 20:49:59,229 INFO MainThread:3035682 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
+
2026-08-12 20:49:59,229 INFO MainThread:3035682 [wandb_init.py:setup_run_log_directory():729] Logging user logs to /mnt/data/zainulabideen/zain-exp/notebooks/zain/Activation/wandb/run-20260812_204959-ha94g4f6/logs/debug.log
|
| 5 |
+
2026-08-12 20:49:59,229 INFO MainThread:3035682 [wandb_init.py:setup_run_log_directory():730] Logging internal logs to /mnt/data/zainulabideen/zain-exp/notebooks/zain/Activation/wandb/run-20260812_204959-ha94g4f6/logs/debug-internal.log
|
| 6 |
+
2026-08-12 20:49:59,229 INFO MainThread:3035682 [wandb_init.py:init():772] calling init triggers
|
| 7 |
+
2026-08-12 20:49:59,230 INFO MainThread:3035682 [wandb_init.py:init():777] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'_wandb': {}}
|
| 9 |
+
2026-08-12 20:49:59,230 INFO MainThread:3035682 [wandb_init.py:init():820] starting backend
|
| 10 |
+
2026-08-12 20:49:59,230 INFO MainThread:3035682 [wandb_init.py:init():826] Connected to an existing wandb-core service via WANDB_SERVICE
|
| 11 |
+
2026-08-12 20:49:59,230 INFO MainThread:3035682 [wandb_init.py:init():835] sending inform_init request
|
| 12 |
+
2026-08-12 20:49:59,490 INFO MainThread:3035682 [wandb_init.py:init():840] backend started and connected
|
| 13 |
+
2026-08-12 20:49:59,494 INFO MainThread:3035682 [wandb_init.py:init():910] updated telemetry
|
| 14 |
+
2026-08-12 20:49:59,501 INFO MainThread:3035682 [wandb_init.py:init():933] communicating run to backend with 90.0 second timeout
|
| 15 |
+
2026-08-12 20:49:59,756 INFO MainThread:3035682 [wandb_init.py:init():978] starting run threads in backend
|
| 16 |
+
2026-08-12 20:49:59,831 INFO MainThread:3035682 [wandb_run.py:_console_start():2621] atexit reg
|
| 17 |
+
2026-08-12 20:49:59,832 INFO MainThread:3035682 [wandb_run.py:_redirect():2471] redirect: wrap_raw
|
| 18 |
+
2026-08-12 20:49:59,832 INFO MainThread:3035682 [wandb_run.py:_redirect():2540] Wrapping output streams.
|
| 19 |
+
2026-08-12 20:49:59,832 INFO MainThread:3035682 [wandb_run.py:_redirect():2563] Redirects installed.
|
| 20 |
+
2026-08-12 20:49:59,835 INFO MainThread:3035682 [wandb_init.py:init():1016] run started, returning control to user process
|
| 21 |
+
2026-08-12 20:49:59,835 INFO MainThread:3035682 [wandb_run.py:_config_callback():1346] config_cb None None {'transformers_version': '5.16.0.dev0', 'architectures': None, 'output_hidden_states': False, 'return_dict': True, 'dtype': None, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'problem_type': None, 'vocab_size': 4096, 'hidden_size': 128, 'intermediate_size': 256, 'num_hidden_layers': 150, 'num_attention_heads': 4, 'num_key_value_heads': 4, 'hidden_act': 'silu', 'max_position_embeddings': 512, 'initializer_range': 0.02, 'rms_norm_eps': 1e-06, 'use_cache': False, 'pad_token_id': 0, 'bos_token_id': 1, 'eos_token_id': 2, 'pretraining_tp': 1, 'tie_word_embeddings': True, 'rope_parameters': {'rope_theta': 10000.0, 'rope_type': 'default'}, 'attention_bias': False, 'attention_dropout': 0.0, 'mlp_bias': False, 'head_dim': 32, '_name_or_path': '', 'tokenizer_name': 'w-ahmad/tiny-stories-tokenizer', 'mlp_type': 'glu', 'activation': 'silu', 'waleed_beta': 10.0, 'model_type': 'tiny_llama', 'output_attentions': False, 'output_dir': 'out/glu-silu-150L_run', 'per_device_train_batch_size': 32, 'num_train_epochs': 1, 'max_steps': 500, 'learning_rate': 0.0007, 'lr_scheduler_type': 'constant_with_warmup', 'lr_scheduler_kwargs': None, 'warmup_steps': 200, 'optim': 'adamw_torch_fused', 'optim_args': None, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'optim_target_modules': None, 'gradient_accumulation_steps': 1, 'average_tokens_across_devices': True, 'max_grad_norm': 1.0, 'label_smoothing_factor': 0.0, 'bf16': True, 'fp16': False, 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'use_liger_kernel': False, 'liger_kernel_config': None, 'neftune_noise_alpha': None, 'torch_empty_cache_steps': None, 'auto_find_batch_size': False, 'logging_strategy': 'steps', 'logging_steps': 20, 'logging_first_step': False, 'log_on_each_node': True, 'logging_nan_inf_filter': True, 'include_num_input_tokens_seen': 'no', 'log_level': 'passive', 'log_level_replica': 'warning', 'disable_tqdm': False, 'report_to': ['wandb'], 'run_name': 'LM-glu-silu-150L-25.1M-20260812-204958', 'project': 'huggingface', 'trackio_space_id': None, 'trackio_bucket_id': None, 'trackio_static_space_id': None, 'eval_strategy': 'steps', 'eval_steps': 50, 'eval_delay': 0, 'per_device_eval_batch_size': 1024, 'prediction_loss_only': False, 'eval_on_start': False, 'eval_do_concat_batches': True, 'eval_use_gather_object': False, 'eval_accumulation_steps': None, 'include_for_metrics': [], 'batch_eval_metrics': False, 'save_only_model': False, 'save_strategy': 'steps', 'save_steps': 100, 'save_on_each_node': False, 'save_total_limit': None, 'enable_jit_checkpoint': False, 'push_to_hub': False, 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_model_id': 'w-ahmad/6L-glu-silu-150L', 'hub_strategy': 'every_save', 'hub_always_push': False, 'hub_revision': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'restore_callback_states_from_checkpoint': False, 'full_determinism': False, 'seed': 42, 'data_seed': 42, 'use_cpu': False, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'dataloader_drop_last': False, 'dataloader_num_workers': 0, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'dataloader_prefetch_factor': None, 'dataloader_multiprocessing_context': None, 'dataloader_in_order': True, 'remove_unused_columns': False, 'label_names': None, 'train_sampling_strategy': 'random', 'length_column_name': 'length', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'ddp_static_graph': None, 'ddp_backend': None, 'ddp_timeout': 1800, 'fsdp': None, 'fsdp_config': None, 'deepspeed': None, 'debug': [], 'skip_memory_metrics': True, 'do_train': False, 'do_eval': True, 'do_predict': False, 'resume_from_checkpoint': None, 'local_rank': -1}
|
| 22 |
+
2026-08-12 20:49:59,841 INFO MainThread:3035682 [wandb_config.py:__setitem__():155] [no run ID] config set model/num_parameters = 25138816 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x152f60578810>>
|
| 23 |
+
2026-08-12 20:49:59,841 INFO MainThread:3035682 [wandb_run.py:_config_callback():1346] config_cb model/num_parameters 25138816 None
|
zain/Activation/wandb/run-20260812_204859-c8cw38zl/files/config.yaml
ADDED
|
@@ -0,0 +1,442 @@
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|
| 1 |
+
_name_or_path:
|
| 2 |
+
value: ""
|
| 3 |
+
_wandb:
|
| 4 |
+
value:
|
| 5 |
+
cli_version: 0.28.1
|
| 6 |
+
e:
|
| 7 |
+
5l8bepqvwhf0bjm2vh0i5lowje16r2i4:
|
| 8 |
+
args:
|
| 9 |
+
- --config
|
| 10 |
+
- /mnt/data/zainulabideen/zain-exp/notebooks/zain/Activation/configs/baseline150L.yaml
|
| 11 |
+
- --variants
|
| 12 |
+
- glu-silu
|
| 13 |
+
- glu-waleed10
|
| 14 |
+
- glu-silu-waleed10
|
| 15 |
+
- glu-situglu
|
| 16 |
+
- glu-waleed
|
| 17 |
+
- glu-situglu_low
|
| 18 |
+
- glu-waleedglu_low
|
| 19 |
+
- glu-relu
|
| 20 |
+
- glu-gelu
|
| 21 |
+
- glu-sigmoid
|
| 22 |
+
- glu-linear
|
| 23 |
+
codePath: sweep.py
|
| 24 |
+
codePathLocal: sweep.py
|
| 25 |
+
cpu_count: 112
|
| 26 |
+
cpu_count_logical: 224
|
| 27 |
+
cudaVersion: "12.4"
|
| 28 |
+
disk:
|
| 29 |
+
/:
|
| 30 |
+
total: "1560765693952"
|
| 31 |
+
used: "716359323648"
|
| 32 |
+
email: deepnevro@gmail.com
|
| 33 |
+
executable: /mnt/data/zainulabideen/zain-exp/notebooks/my_env/bin/python
|
| 34 |
+
git:
|
| 35 |
+
commit: 26a43c7dee7982e610a25ac78443de9ce18f5077
|
| 36 |
+
remote: https://github.com/w-ahmad1a10/Activation.git
|
| 37 |
+
gpu: NVIDIA H100 80GB HBM3
|
| 38 |
+
gpu_count: 8
|
| 39 |
+
gpu_nvidia:
|
| 40 |
+
- architecture: Hopper
|
| 41 |
+
cudaCores: 16896
|
| 42 |
+
memoryTotal: "85520809984"
|
| 43 |
+
name: NVIDIA H100 80GB HBM3
|
| 44 |
+
uuid: GPU-39c684a5-fde6-83d7-1663-0859795881ae
|
| 45 |
+
- architecture: Hopper
|
| 46 |
+
cudaCores: 16896
|
| 47 |
+
memoryTotal: "85520809984"
|
| 48 |
+
name: NVIDIA H100 80GB HBM3
|
| 49 |
+
uuid: GPU-68012e5a-38b6-b643-0ca6-62fb66720bf3
|
| 50 |
+
- architecture: Hopper
|
| 51 |
+
cudaCores: 16896
|
| 52 |
+
memoryTotal: "85520809984"
|
| 53 |
+
name: NVIDIA H100 80GB HBM3
|
| 54 |
+
uuid: GPU-132944c4-b689-2b5f-89a4-d730401677ab
|
| 55 |
+
- architecture: Hopper
|
| 56 |
+
cudaCores: 16896
|
| 57 |
+
memoryTotal: "85520809984"
|
| 58 |
+
name: NVIDIA H100 80GB HBM3
|
| 59 |
+
uuid: GPU-2df386cc-6d26-d0e2-7a2d-a057b0d95864
|
| 60 |
+
- architecture: Hopper
|
| 61 |
+
cudaCores: 16896
|
| 62 |
+
memoryTotal: "85520809984"
|
| 63 |
+
name: NVIDIA H100 80GB HBM3
|
| 64 |
+
uuid: GPU-bfa16575-1d94-1aa2-4537-2c93433f42ef
|
| 65 |
+
- architecture: Hopper
|
| 66 |
+
cudaCores: 16896
|
| 67 |
+
memoryTotal: "85520809984"
|
| 68 |
+
name: NVIDIA H100 80GB HBM3
|
| 69 |
+
uuid: GPU-bc6c3e3c-9b90-09ca-c034-774961847c54
|
| 70 |
+
- architecture: Hopper
|
| 71 |
+
cudaCores: 16896
|
| 72 |
+
memoryTotal: "85520809984"
|
| 73 |
+
name: NVIDIA H100 80GB HBM3
|
| 74 |
+
uuid: GPU-00a441e1-7c95-e7d6-4c35-43d6b291aea9
|
| 75 |
+
- architecture: Hopper
|
| 76 |
+
cudaCores: 16896
|
| 77 |
+
memoryTotal: "85520809984"
|
| 78 |
+
name: NVIDIA H100 80GB HBM3
|
| 79 |
+
uuid: GPU-1c4d29a2-4647-6fce-d8fc-0c5ecfbbd6ea
|
| 80 |
+
host: deeplens-k3s-node1
|
| 81 |
+
memory:
|
| 82 |
+
total: "2164089937920"
|
| 83 |
+
os: Linux-5.15.0-126-generic-x86_64-with-glibc2.35
|
| 84 |
+
program: /mnt/data/zainulabideen/zain-exp/notebooks/zain/Activation/sweep.py
|
| 85 |
+
python: CPython 3.11.15
|
| 86 |
+
root: /mnt/data/zainulabideen/zain-exp/notebooks/zain/Activation
|
| 87 |
+
startedAt: "2026-08-12T20:48:59.130265Z"
|
| 88 |
+
writerId: 5l8bepqvwhf0bjm2vh0i5lowje16r2i4
|
| 89 |
+
m:
|
| 90 |
+
- "1": train/global_step
|
| 91 |
+
"6":
|
| 92 |
+
- 3
|
| 93 |
+
"7": []
|
| 94 |
+
- "2": '*'
|
| 95 |
+
"5": 1
|
| 96 |
+
"6":
|
| 97 |
+
- 1
|
| 98 |
+
"7": []
|
| 99 |
+
python_version: 3.11.15
|
| 100 |
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length_column_name:
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liger_kernel_config:
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| 293 |
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value: null
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load_best_model_at_end:
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local_rank:
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value: -1
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log_level:
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| 299 |
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value: passive
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log_level_replica:
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value: warning
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log_on_each_node:
|
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value: true
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logging_first_step:
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logging_nan_inf_filter:
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value: true
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logging_steps:
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value: 20
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logging_strategy:
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value: steps
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lr_scheduler_kwargs:
|
| 313 |
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value: null
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| 314 |
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lr_scheduler_type:
|
| 315 |
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value: constant_with_warmup
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max_grad_norm:
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value: 1
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| 318 |
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max_position_embeddings:
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| 319 |
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value: 512
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max_steps:
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value: 500
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metric_for_best_model:
|
| 323 |
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value: null
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mlp_bias:
|
| 325 |
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value: false
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mlp_type:
|
| 327 |
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|
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model/num_parameters:
|
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value: 25138816
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model_type:
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value: tiny_llama
|
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neftune_noise_alpha:
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| 333 |
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num_hidden_layers:
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value: 150
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num_key_value_heads:
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value: 4
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num_train_epochs:
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value: 1
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optim:
|
| 343 |
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value: adamw_torch_fused
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optim_args:
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value: null
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| 346 |
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optim_target_modules:
|
| 347 |
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value: null
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output_attentions:
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| 349 |
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value: false
|
| 350 |
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output_dir:
|
| 351 |
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value: out/glu-silu-150L_run
|
| 352 |
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output_hidden_states:
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value: false
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pad_token_id:
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value: 0
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parallelism_config:
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per_device_eval_batch_size:
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value: 128
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per_device_train_batch_size:
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value: 32
|
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prediction_loss_only:
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pretraining_tp:
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value: 1
|
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problem_type:
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value: null
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project:
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value: huggingface
|
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push_to_hub:
|
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|
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remove_unused_columns:
|
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|
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report_to:
|
| 375 |
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value:
|
| 376 |
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|
| 377 |
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restore_callback_states_from_checkpoint:
|
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|
| 379 |
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resume_from_checkpoint:
|
| 380 |
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value: null
|
| 381 |
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return_dict:
|
| 382 |
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value: true
|
| 383 |
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rms_norm_eps:
|
| 384 |
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value: 1e-06
|
| 385 |
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rope_parameters:
|
| 386 |
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value:
|
| 387 |
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rope_theta: 10000
|
| 388 |
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rope_type: default
|
| 389 |
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run_name:
|
| 390 |
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value: LM-glu-silu-150L-25.1M-20260812-204858
|
| 391 |
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save_on_each_node:
|
| 392 |
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value: false
|
| 393 |
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save_only_model:
|
| 394 |
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value: false
|
| 395 |
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save_steps:
|
| 396 |
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value: 100
|
| 397 |
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save_strategy:
|
| 398 |
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value: steps
|
| 399 |
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save_total_limit:
|
| 400 |
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value: null
|
| 401 |
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seed:
|
| 402 |
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value: 42
|
| 403 |
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skip_memory_metrics:
|
| 404 |
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value: true
|
| 405 |
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tf32:
|
| 406 |
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value: null
|
| 407 |
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tie_word_embeddings:
|
| 408 |
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value: true
|
| 409 |
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tokenizer_name:
|
| 410 |
+
value: w-ahmad/tiny-stories-tokenizer
|
| 411 |
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torch_compile:
|
| 412 |
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value: false
|
| 413 |
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torch_compile_backend:
|
| 414 |
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value: null
|
| 415 |
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torch_compile_mode:
|
| 416 |
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value: null
|
| 417 |
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torch_empty_cache_steps:
|
| 418 |
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value: null
|
| 419 |
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trackio_bucket_id:
|
| 420 |
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|
| 421 |
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trackio_space_id:
|
| 422 |
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value: null
|
| 423 |
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trackio_static_space_id:
|
| 424 |
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value: null
|
| 425 |
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train_sampling_strategy:
|
| 426 |
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value: random
|
| 427 |
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transformers_version:
|
| 428 |
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value: 5.16.0.dev0
|
| 429 |
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use_cache:
|
| 430 |
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value: false
|
| 431 |
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use_cpu:
|
| 432 |
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value: false
|
| 433 |
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use_liger_kernel:
|
| 434 |
+
value: false
|
| 435 |
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vocab_size:
|
| 436 |
+
value: 4096
|
| 437 |
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waleed_beta:
|
| 438 |
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value: 10
|
| 439 |
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warmup_steps:
|
| 440 |
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value: 200
|
| 441 |
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weight_decay:
|
| 442 |
+
value: 0
|
zain/Activation/wandb/run-20260812_204859-c8cw38zl/files/output.log
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[transformers] `use_return_dict` is deprecated! Use `return_dict` instead!
|
| 2 |
+
[INFO] Causal mask (float with -inf) applied to all attention layers.
|
| 3 |
+
10%|█ | 50/500 [00:17<02:19, 3.23it/s]
|
| 4 |
+
{'loss': '8.234', 'grad_norm': '1.445', 'learning_rate': '6.65e-05', 'epoch': '0.0006741', 'train/total_time_seconds': '6.46', 'train/time_per_step_avg': '0.323', 'train/epoch_time_elapsed': '7.084', 'train/estimated_remaining_minutes': '2.584'}
|
| 5 |
+
{'loss': '7.9', 'grad_norm': '1.375', 'learning_rate': '0.0001365', 'epoch': '0.001348', 'train/total_time_seconds': '12.23', 'train/time_per_step_avg': '0.3057', 'train/epoch_time_elapsed': '13.37', 'train/estimated_remaining_minutes': '2.344'}
|
| 6 |
+
95%|█████████▍| 71/75 [00:19<00:01, 3.55it/s]
|
zain/Activation/wandb/run-20260812_204859-c8cw38zl/files/requirements.txt
ADDED
|
@@ -0,0 +1,149 @@
|
|
|
|
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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 |
+
asttokens==3.0.1
|
| 2 |
+
comm==0.2.3
|
| 3 |
+
debugpy==1.8.21
|
| 4 |
+
decorator==5.3.1
|
| 5 |
+
executing==2.2.1
|
| 6 |
+
nest-asyncio==1.6.0
|
| 7 |
+
parso==0.8.7
|
| 8 |
+
platformdirs==4.11.0
|
| 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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|
| 15 |
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six==1.17.0
|
| 16 |
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| 20 |
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|
| 21 |
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|
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|
| 24 |
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pexpect==4.9.0
|
| 25 |
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|
| 26 |
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python-dateutil==2.9.0.post0
|
| 27 |
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stack_data==0.6.3
|
| 28 |
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wheel==0.47.0
|
| 29 |
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jupyter_client==8.9.1
|
| 30 |
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pip==26.1.2
|
| 31 |
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ipython==9.15.0
|
| 32 |
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ipykernel==7.2.0
|
| 33 |
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threadpoolctl==3.6.0
|
| 34 |
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pyparsing==3.3.2
|
| 35 |
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typing_extensions==4.15.0
|
| 36 |
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Jinja2==3.1.6
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narwhals==2.24.0
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kiwisolver==1.5.0
|
| 39 |
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joblib==1.5.3
|
| 40 |
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| 42 |
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scipy==1.17.1
|
| 43 |
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pandas==3.0.5
|
| 44 |
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contourpy==1.3.3
|
| 45 |
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|
| 46 |
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matplotlib==3.11.1
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urllib3==2.7.0
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idna==3.18
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charset-normalizer==3.4.9
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certifi==2026.7.22
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requests==2.34.2
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seaborn==0.13.2
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uv==0.12.0
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shellingham==1.5.4
|
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attrs==26.1.0
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nvidia-nccl-cu12==2.21.5
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mdurl==0.1.2
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typer==0.27.0
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torch==2.6.0+cu124
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nvidia-cusolver==12.0.4.66
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nvidia-cufft==12.0.0.61
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nvidia-cudnn-cu13==9.20.0.48
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nvidia-cublas==13.1.1.3
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pydantic==2.13.4
|
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protobuf==7.35.1
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|
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einops==0.8.2
|
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nvidia-nvjitlink-cu12==12.4.127
|
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nvidia-curand-cu12==10.3.5.147
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nvidia-cusparselt-cu12==0.6.2
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nvidia-cusparse-cu12==12.3.1.170
|
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nvidia-cuda-runtime-cu12==12.4.127
|
| 126 |
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torchvision==0.21.0+cu124
|
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nvidia-cuda-nvrtc-cu12==12.4.127
|
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nvidia-cuda-cupti-cu12==12.4.127
|
| 129 |
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nvidia-cusolver-cu12==11.6.1.9
|
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nvidia-cublas-cu12==12.4.5.8
|
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nvidia-cudnn-cu12==9.1.0.70
|
| 132 |
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huggingface_hub==1.26.0
|
| 133 |
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datasets==5.0.1
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safetensors==0.8.0
|
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accelerate==1.14.0
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pydantic_core==2.46.4
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jaraco.context==6.1.0
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jaraco.functools==4.4.0
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platformdirs==4.4.0
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tomli==2.4.0
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wheel==0.46.3
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zipp==3.23.0
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zain/Activation/wandb/run-20260812_204859-c8cw38zl/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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|
|
|
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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 |
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|
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|
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| 6 |
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"--config",
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| 8 |
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|
| 9 |
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| 10 |
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|
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| 12 |
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"glu-situglu",
|
| 13 |
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| 14 |
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"glu-situglu_low",
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| 16 |
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"glu-relu",
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| 17 |
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"glu-gelu",
|
| 18 |
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| 60 |
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{
|
| 68 |
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| 74 |
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{
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| 75 |
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| 80 |
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| 81 |
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| 82 |
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| 83 |
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| 86 |
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| 87 |
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| 88 |
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|
| 89 |
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| 90 |
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| 95 |
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| 96 |
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| 97 |
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| 102 |
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| 104 |
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zain/Activation/wandb/run-20260812_204859-c8cw38zl/files/wandb-summary.json
ADDED
|
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|
zain/Activation/wandb/run-20260812_204859-c8cw38zl/logs/debug-core.log
ADDED
|
@@ -0,0 +1,20 @@
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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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|
| 2 |
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{"time":"2026-08-12T20:46:29.827630129Z","level":"INFO","msg":"server: will exit if parent process dies","ppid":2980938}
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| 3 |
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| 4 |
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| 5 |
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{"time":"2026-08-12T20:48:59.03423153Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"2(@)"}
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| 6 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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zain/Activation/wandb/run-20260812_204859-c8cw38zl/logs/debug-internal.log
ADDED
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| 1 |
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zain/Activation/wandb/run-20260812_204859-c8cw38zl/logs/debug.log
ADDED
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2026-08-12 20:48:59,131 INFO MainThread:3026097 [wandb_setup.py:_flush():81] Current SDK version is 0.28.1
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2026-08-12 20:48:59,131 INFO MainThread:3026097 [wandb_init.py:init():772] calling init triggers
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2026-08-12 20:48:59,131 INFO MainThread:3026097 [wandb_init.py:init():777] wandb.init called with sweep_config: {}
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| 8 |
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config: {'_wandb': {}}
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| 9 |
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2026-08-12 20:48:59,131 INFO MainThread:3026097 [wandb_init.py:init():820] starting backend
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2026-08-12 20:48:59,131 INFO MainThread:3026097 [wandb_init.py:init():826] Connected to an existing wandb-core service via WANDB_SERVICE
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| 11 |
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2026-08-12 20:48:59,131 INFO MainThread:3026097 [wandb_init.py:init():835] sending inform_init request
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2026-08-12 20:48:59,394 INFO MainThread:3026097 [wandb_init.py:init():840] backend started and connected
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2026-08-12 20:48:59,404 INFO MainThread:3026097 [wandb_init.py:init():933] communicating run to backend with 90.0 second timeout
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2026-08-12 20:48:59,704 INFO MainThread:3026097 [wandb_init.py:init():978] starting run threads in backend
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2026-08-12 20:48:59,779 INFO MainThread:3026097 [wandb_run.py:_redirect():2540] Wrapping output streams.
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|
| 22 |
+
2026-08-12 20:48:59,789 INFO MainThread:3026097 [wandb_config.py:__setitem__():155] [no run ID] config set model/num_parameters = 25138816 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x1501cc0fe0d0>>
|
| 23 |
+
2026-08-12 20:48:59,789 INFO MainThread:3026097 [wandb_run.py:_config_callback():1346] config_cb model/num_parameters 25138816 None
|
| 24 |
+
2026-08-12 20:49:36,490 INFO MainThread:3026097 [wandb_run.py:_finish():2383] finishing run deepnevro-deepnevro/research2/c8cw38zl
|
| 25 |
+
2026-08-12 20:49:36,490 INFO MainThread:3026097 [wandb_run.py:_atexit_cleanup():2588] got exitcode: 0
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| 26 |
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2026-08-12 20:49:36,490 INFO MainThread:3026097 [wandb_run.py:_restore():2570] restore
|
| 27 |
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2026-08-12 20:49:36,491 INFO MainThread:3026097 [wandb_run.py:_restore():2576] restore done
|
| 28 |
+
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|
zain/Activation/wandb/run-20260812_204859-c8cw38zl/run-c8cw38zl.wandb
ADDED
|
Binary file (43.3 kB). View file
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|
zain/Activation/wandb/run-20260812_204959-ha94g4f6/files/output.log
ADDED
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| 1 |
+
[transformers] `use_return_dict` is deprecated! Use `return_dict` instead!
|
| 2 |
+
[INFO] Causal mask (float with -inf) applied to all attention layers.
|
| 3 |
+
20%|██ | 100/500 [01:12<02:13, 2.99it/[transformers] TinyLlamaForCausalLM has generative capabilities, as `prepare_inputs_for_generation` is explicitly defined. However, it doesn't directly inherit from `GenerationMixin`. From 👉v4.50👈 onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions.
|
| 4 |
+
{'loss': '8.234', 'grad_norm': '1.445', 'learning_rate': '6.65e-05', 'epoch': '0.0006741', 'train/total_time_seconds': '6.304', 'train/time_per_step_avg': '0.3152', 'train/epoch_time_elapsed': '6.934', 'train/estimated_remaining_minutes': '2.522'}
|
| 5 |
+
{'loss': '7.9', 'grad_norm': '1.375', 'learning_rate': '0.0001365', 'epoch': '0.001348', 'train/total_time_seconds': '11.97', 'train/time_per_step_avg': '0.2992', 'train/epoch_time_elapsed': '13.11', 'train/estimated_remaining_minutes': '2.294'}
|
| 6 |
+
- If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes
|
| 7 |
+
{'eval_loss': '7.46', 'eval_runtime': '19.27', 'eval_samples_per_second': '494.5', 'eval_steps_per_second': '0.519', 'epoch': '0.001685', 'train/total_time_seconds': '14.8', 'train/time_per_step_avg': '0.296', 'train/epoch_time_elapsed': '35.47', 'train/estimated_remaining_minutes': '2.22'}
|
| 8 |
+
{'loss': '7.467', 'grad_norm': '1.234', 'learning_rate': '0.0002065', 'epoch': '0.002022', 'train/total_time_seconds': '17.76', 'train/time_per_step_avg': '0.296', 'train/epoch_time_elapsed': '38.69', 'train/estimated_remaining_minutes': '2.17'}
|
| 9 |
+
{'loss': '6.894', 'grad_norm': '1.109', 'learning_rate': '0.0002765', 'epoch': '0.002696', 'train/total_time_seconds': '23.96', 'train/time_per_step_avg': '0.2995', 'train/epoch_time_elapsed': '45.41', 'train/estimated_remaining_minutes': '2.097'}
|
| 10 |
+
{'loss': '6.389', 'grad_norm': '0.7578', 'learning_rate': '0.0003465', 'epoch': '0.00337', 'train/total_time_seconds': '30.1', 'train/time_per_step_avg': '0.301', 'train/epoch_time_elapsed': '52.06', 'train/estimated_remaining_minutes': '2.006'}
|
| 11 |
+
{'eval_loss': '6.19', 'eval_runtime': '19.52', 'eval_samples_per_second': '488.1', 'eval_steps_per_second': '0.512', 'epoch': '0.00337', 'train/total_time_seconds': '30.1', 'train/time_per_step_avg': '0.301', 'train/epoch_time_elapsed': '71.58', 'train/estimated_remaining_minutes': '2.006'}
|
| 12 |
+
- If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception).
|
| 13 |
+
- If you are not the owner of the model architecture class, please contact the model code owner to update it.
|
| 14 |
+
Writing model shards: 100%|██████████| 1/1 [00:00<00:00, 8.39it/s]
|
| 15 |
+
40%|████ | 200/500 [02:23<01:38, 3.04it/[transformers] TinyLlamaForCausalLM has generative capabilities, as `prepare_inputs_for_generation` is explicitly defined. However, it doesn't directly inherit from `GenerationMixin`. From 👉v4.50👈 onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions.
|
| 16 |
+
{'loss': '6.1', 'grad_norm': '0.4141', 'learning_rate': '0.0004165', 'epoch': '0.004044', 'train/total_time_seconds': '36.05', 'train/time_per_step_avg': '0.2974', 'train/epoch_time_elapsed': '78.49', 'train/estimated_remaining_minutes': '1.903'}
|
| 17 |
+
{'loss': '5.899', 'grad_norm': '0.5586', 'learning_rate': '0.0004865', 'epoch': '0.004719', 'train/total_time_seconds': '42', 'train/time_per_step_avg': '0.3004', 'train/epoch_time_elapsed': '84.96', 'train/estimated_remaining_minutes': '1.8'}
|
| 18 |
+
- If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes
|
| 19 |
+
{'eval_loss': '5.708', 'eval_runtime': '19.24', 'eval_samples_per_second': '495.2', 'eval_steps_per_second': '0.52', 'epoch': '0.005056', 'train/total_time_seconds': '45.02', 'train/time_per_step_avg': '0.3022', 'train/epoch_time_elapsed': '107.5', 'train/estimated_remaining_minutes': '1.751'}
|
| 20 |
+
{'loss': '5.742', 'grad_norm': '2.516', 'learning_rate': '0.0005565', 'epoch': '0.005393', 'train/total_time_seconds': '47.99', 'train/time_per_step_avg': '0.3023', 'train/epoch_time_elapsed': '110.7', 'train/estimated_remaining_minutes': '1.7'}
|
| 21 |
+
{'loss': '5.549', 'grad_norm': '1.234', 'learning_rate': '0.0006265', 'epoch': '0.006067', 'train/total_time_seconds': '53.95', 'train/time_per_step_avg': '0.2999', 'train/epoch_time_elapsed': '117.2', 'train/estimated_remaining_minutes': '1.599'}
|
| 22 |
+
{'loss': '5.339', 'grad_norm': '1.367', 'learning_rate': '0.0006965', 'epoch': '0.006741', 'train/total_time_seconds': '59.97', 'train/time_per_step_avg': '0.2988', 'train/epoch_time_elapsed': '123.7', 'train/estimated_remaining_minutes': '1.499'}
|
| 23 |
+
{'eval_loss': '5.231', 'eval_runtime': '19.47', 'eval_samples_per_second': '489.2', 'eval_steps_per_second': '0.514', 'epoch': '0.006741', 'train/total_time_seconds': '59.97', 'train/time_per_step_avg': '0.2988', 'train/epoch_time_elapsed': '143.2', 'train/estimated_remaining_minutes': '1.499'}
|
| 24 |
+
- If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception).
|
| 25 |
+
- If you are not the owner of the model architecture class, please contact the model code owner to update it.
|
| 26 |
+
Writing model shards: 100%|██████████| 1/1 [00:00<00:00, 10.74it/s]
|
| 27 |
+
60%|██████ | 300/500 [03:36<01:04, 3.09it/[transformers] TinyLlamaForCausalLM has generative capabilities, as `prepare_inputs_for_generation` is explicitly defined. However, it doesn't directly inherit from `GenerationMixin`. From 👉v4.50👈 onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions.
|
| 28 |
+
{'loss': '5.186', 'grad_norm': '1.531', 'learning_rate': '0.0007', 'epoch': '0.007415', 'train/total_time_seconds': '66.45', 'train/time_per_step_avg': '0.304', 'train/epoch_time_elapsed': '150.6', 'train/estimated_remaining_minutes': '1.41'}
|
| 29 |
+
{'loss': '4.989', 'grad_norm': '1.656', 'learning_rate': '0.0007', 'epoch': '0.008089', 'train/total_time_seconds': '72.53', 'train/time_per_step_avg': '0.3052', 'train/epoch_time_elapsed': '157.3', 'train/estimated_remaining_minutes': '1.309'}
|
| 30 |
+
- If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes
|
| 31 |
+
{'eval_loss': '4.977', 'eval_runtime': '19.19', 'eval_samples_per_second': '496.4', 'eval_steps_per_second': '0.521', 'epoch': '0.008426', 'train/total_time_seconds': '75.54', 'train/time_per_step_avg': '0.3052', 'train/epoch_time_elapsed': '179.7', 'train/estimated_remaining_minutes': '1.259'}
|
| 32 |
+
{'loss': '4.933', 'grad_norm': '0.6328', 'learning_rate': '0.0007', 'epoch': '0.008763', 'train/total_time_seconds': '78.52', 'train/time_per_step_avg': '0.3053', 'train/epoch_time_elapsed': '183', 'train/estimated_remaining_minutes': '1.208'}
|
| 33 |
+
{'loss': '4.817', 'grad_norm': '1.578', 'learning_rate': '0.0007', 'epoch': '0.009437', 'train/total_time_seconds': '84.53', 'train/time_per_step_avg': '0.3058', 'train/epoch_time_elapsed': '189.5', 'train/estimated_remaining_minutes': '1.107'}
|
| 34 |
+
{'loss': '4.681', 'grad_norm': '1.844', 'learning_rate': '0.0007', 'epoch': '0.01011', 'train/total_time_seconds': '90.52', 'train/time_per_step_avg': '0.3054', 'train/epoch_time_elapsed': '196', 'train/estimated_remaining_minutes': '1.006'}
|
| 35 |
+
{'eval_loss': '4.653', 'eval_runtime': '19.53', 'eval_samples_per_second': '487.9', 'eval_steps_per_second': '0.512', 'epoch': '0.01011', 'train/total_time_seconds': '90.52', 'train/time_per_step_avg': '0.3054', 'train/epoch_time_elapsed': '215.6', 'train/estimated_remaining_minutes': '1.006'}
|
| 36 |
+
- If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception).
|
| 37 |
+
- If you are not the owner of the model architecture class, please contact the model code owner to update it.
|
| 38 |
+
Writing model shards: 100%|██████████| 1/1 [00:00<00:00, 11.18it/s]
|
| 39 |
+
65%|██████▌ | 327/500 [03:45<00:56, 3.06it/s]<?, ?it/s]
|
| 40 |
+
{'loss': '4.554', 'grad_norm': '0.9062', 'learning_rate': '0.0007', 'epoch': '0.01079', 'train/total_time_seconds': '96.54', 'train/time_per_step_avg': '0.3009', 'train/epoch_time_elapsed': '222.5', 'train/estimated_remaining_minutes': '0.905'}
|
zain/Activation/wandb/run-20260812_204959-ha94g4f6/files/requirements.txt
ADDED
|
@@ -0,0 +1,149 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
asttokens==3.0.1
|
| 2 |
+
comm==0.2.3
|
| 3 |
+
debugpy==1.8.21
|
| 4 |
+
decorator==5.3.1
|
| 5 |
+
executing==2.2.1
|
| 6 |
+
nest-asyncio==1.6.0
|
| 7 |
+
parso==0.8.7
|
| 8 |
+
platformdirs==4.11.0
|
| 9 |
+
psutil==7.2.2
|
| 10 |
+
ptyprocess==0.7.0
|
| 11 |
+
pure_eval==0.2.3
|
| 12 |
+
Pygments==2.20.0
|
| 13 |
+
pyzmq==27.1.0
|
| 14 |
+
setuptools==83.0.0
|
| 15 |
+
six==1.17.0
|
| 16 |
+
tornado==6.5.7
|
| 17 |
+
traitlets==5.15.0
|
| 18 |
+
fsspec==2026.4.0
|
| 19 |
+
wcwidth==0.8.2
|
| 20 |
+
ipython_pygments_lexers==1.1.1
|
| 21 |
+
jedi==0.20.0
|
| 22 |
+
jupyter_core==5.9.1
|
| 23 |
+
matplotlib-inline==0.2.2
|
| 24 |
+
pexpect==4.9.0
|
| 25 |
+
prompt_toolkit==3.0.53
|
| 26 |
+
python-dateutil==2.9.0.post0
|
| 27 |
+
stack_data==0.6.3
|
| 28 |
+
wheel==0.47.0
|
| 29 |
+
jupyter_client==8.9.1
|
| 30 |
+
pip==26.1.2
|
| 31 |
+
ipython==9.15.0
|
| 32 |
+
ipykernel==7.2.0
|
| 33 |
+
threadpoolctl==3.6.0
|
| 34 |
+
pyparsing==3.3.2
|
| 35 |
+
typing_extensions==4.15.0
|
| 36 |
+
Jinja2==3.1.6
|
| 37 |
+
narwhals==2.24.0
|
| 38 |
+
kiwisolver==1.5.0
|
| 39 |
+
joblib==1.5.3
|
| 40 |
+
fonttools==4.63.0
|
| 41 |
+
cycler==0.12.1
|
| 42 |
+
scipy==1.17.1
|
| 43 |
+
pandas==3.0.5
|
| 44 |
+
contourpy==1.3.3
|
| 45 |
+
scikit-learn==1.9.0
|
| 46 |
+
matplotlib==3.11.1
|
| 47 |
+
urllib3==2.7.0
|
| 48 |
+
tqdm==4.70.0
|
| 49 |
+
idna==3.18
|
| 50 |
+
charset-normalizer==3.4.9
|
| 51 |
+
certifi==2026.7.22
|
| 52 |
+
requests==2.34.2
|
| 53 |
+
seaborn==0.13.2
|
| 54 |
+
uv==0.12.0
|
| 55 |
+
shellingham==1.5.4
|
| 56 |
+
mpmath==1.3.0
|
| 57 |
+
attrs==26.1.0
|
| 58 |
+
hf-xet==1.5.2
|
| 59 |
+
nvidia-nccl-cu12==2.21.5
|
| 60 |
+
MarkupSafe==3.0.3
|
| 61 |
+
regex==2026.7.19
|
| 62 |
+
importlib_metadata==9.0.0
|
| 63 |
+
httpcore==1.0.9
|
| 64 |
+
annotated-doc==0.0.5
|
| 65 |
+
multidict==6.7.1
|
| 66 |
+
aiohttp==3.14.3
|
| 67 |
+
aiosignal==1.4.0
|
| 68 |
+
xxhash==3.8.1
|
| 69 |
+
aiohappyeyeballs==2.7.1
|
| 70 |
+
mdurl==0.1.2
|
| 71 |
+
cuda-toolkit==13.0.3.0
|
| 72 |
+
networkx==3.6.1
|
| 73 |
+
PyYAML==6.0.3
|
| 74 |
+
nvidia-cufile==1.15.1.6
|
| 75 |
+
typer==0.27.0
|
| 76 |
+
torchaudio==2.6.0+cu124
|
| 77 |
+
rich==15.0.0
|
| 78 |
+
nvidia-cufft-cu12==11.2.1.3
|
| 79 |
+
h11==0.16.0
|
| 80 |
+
dill==0.4.1
|
| 81 |
+
cuda-pathfinder==1.6.0
|
| 82 |
+
filelock==3.29.0
|
| 83 |
+
nvidia-nvtx-cu12==12.4.127
|
| 84 |
+
httpx==0.28.1
|
| 85 |
+
anyio==4.14.2
|
| 86 |
+
numpy==2.4.4
|
| 87 |
+
yarl==1.24.5
|
| 88 |
+
click==8.4.2
|
| 89 |
+
triton==3.2.0
|
| 90 |
+
frozenlist==1.8.0
|
| 91 |
+
zipp==4.1.0
|
| 92 |
+
propcache==0.5.2
|
| 93 |
+
tokenizers==0.22.2
|
| 94 |
+
markdown-it-py==4.2.0
|
| 95 |
+
nvidia-cuda-runtime==13.0.96
|
| 96 |
+
cuda-bindings==13.3.1
|
| 97 |
+
nvidia-cuda-cupti==13.0.85
|
| 98 |
+
torch==2.6.0+cu124
|
| 99 |
+
multiprocess==0.70.19
|
| 100 |
+
pillow==12.2.0
|
| 101 |
+
transformers==5.16.0.dev0
|
| 102 |
+
wandb==0.28.1
|
| 103 |
+
nvidia-curand==10.4.0.35
|
| 104 |
+
sympy==1.13.1
|
| 105 |
+
nvidia-cusparse==12.6.3.3
|
| 106 |
+
nvidia-cuda-nvrtc==13.0.88
|
| 107 |
+
typing-inspection==0.4.2
|
| 108 |
+
nvidia-cusolver==12.0.4.66
|
| 109 |
+
nvidia-cufft==12.0.0.61
|
| 110 |
+
nvidia-cudnn-cu13==9.20.0.48
|
| 111 |
+
nvidia-cublas==13.1.1.3
|
| 112 |
+
pyarrow==25.0.0
|
| 113 |
+
evaluate==0.4.6
|
| 114 |
+
diffusers==0.39.0
|
| 115 |
+
pydantic==2.13.4
|
| 116 |
+
annotated-types==0.8.0
|
| 117 |
+
protobuf==7.35.1
|
| 118 |
+
sentry-sdk==2.66.1
|
| 119 |
+
einops==0.8.2
|
| 120 |
+
packaging==26.2
|
| 121 |
+
nvidia-nvjitlink-cu12==12.4.127
|
| 122 |
+
nvidia-curand-cu12==10.3.5.147
|
| 123 |
+
nvidia-cusparselt-cu12==0.6.2
|
| 124 |
+
nvidia-cusparse-cu12==12.3.1.170
|
| 125 |
+
nvidia-cuda-runtime-cu12==12.4.127
|
| 126 |
+
torchvision==0.21.0+cu124
|
| 127 |
+
nvidia-cuda-nvrtc-cu12==12.4.127
|
| 128 |
+
nvidia-cuda-cupti-cu12==12.4.127
|
| 129 |
+
nvidia-cusolver-cu12==11.6.1.9
|
| 130 |
+
nvidia-cublas-cu12==12.4.5.8
|
| 131 |
+
nvidia-cudnn-cu12==9.1.0.70
|
| 132 |
+
huggingface_hub==1.26.0
|
| 133 |
+
datasets==5.0.1
|
| 134 |
+
safetensors==0.8.0
|
| 135 |
+
accelerate==1.14.0
|
| 136 |
+
pydantic_core==2.46.4
|
| 137 |
+
ninja==1.13.0
|
| 138 |
+
autocommand==2.2.2
|
| 139 |
+
backports.tarfile==1.2.0
|
| 140 |
+
importlib_metadata==8.7.1
|
| 141 |
+
jaraco.text==4.0.0
|
| 142 |
+
jaraco.context==6.1.0
|
| 143 |
+
jaraco.functools==4.4.0
|
| 144 |
+
more-itertools==10.8.0
|
| 145 |
+
packaging==26.0
|
| 146 |
+
platformdirs==4.4.0
|
| 147 |
+
tomli==2.4.0
|
| 148 |
+
wheel==0.46.3
|
| 149 |
+
zipp==3.23.0
|
zain/Activation/wandb/run-20260812_204959-ha94g4f6/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,105 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-5.15.0-126-generic-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.11.15",
|
| 4 |
+
"startedAt": "2026-08-12T20:49:59.228474Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"--config",
|
| 7 |
+
"/mnt/data/zainulabideen/zain-exp/notebooks/zain/Activation/configs/baseline150L.yaml",
|
| 8 |
+
"--variants",
|
| 9 |
+
"glu-silu",
|
| 10 |
+
"glu-waleed10",
|
| 11 |
+
"glu-silu-waleed10",
|
| 12 |
+
"glu-situglu",
|
| 13 |
+
"glu-waleed",
|
| 14 |
+
"glu-situglu_low",
|
| 15 |
+
"glu-waleedglu_low",
|
| 16 |
+
"glu-relu",
|
| 17 |
+
"glu-gelu",
|
| 18 |
+
"glu-sigmoid",
|
| 19 |
+
"glu-linear"
|
| 20 |
+
],
|
| 21 |
+
"program": "/mnt/data/zainulabideen/zain-exp/notebooks/zain/Activation/sweep.py",
|
| 22 |
+
"codePath": "sweep.py",
|
| 23 |
+
"codePathLocal": "sweep.py",
|
| 24 |
+
"git": {
|
| 25 |
+
"remote": "https://github.com/w-ahmad1a10/Activation.git",
|
| 26 |
+
"commit": "26a43c7dee7982e610a25ac78443de9ce18f5077"
|
| 27 |
+
},
|
| 28 |
+
"email": "deepnevro@gmail.com",
|
| 29 |
+
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zain/Activation/wandb/run-20260812_204959-ha94g4f6/logs/debug-core.log
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zain/Activation/wandb/run-20260812_204959-ha94g4f6/logs/debug-internal.log
ADDED
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| 1 |
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{"time":"2026-08-12T20:49:59.231329238Z","level":"INFO","msg":"wandb-core"}
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zain/Activation/wandb/run-20260812_204959-ha94g4f6/logs/debug.log
ADDED
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2026-08-12 20:49:59,229 INFO MainThread:3035682 [wandb_setup.py:_flush():81] Current SDK version is 0.28.1
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| 21 |
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2026-08-12 20:49:59,835 INFO MainThread:3035682 [wandb_run.py:_config_callback():1346] config_cb None None {'transformers_version': '5.16.0.dev0', 'architectures': None, 'output_hidden_states': False, 'return_dict': True, 'dtype': None, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'problem_type': None, 'vocab_size': 4096, 'hidden_size': 128, 'intermediate_size': 256, 'num_hidden_layers': 150, 'num_attention_heads': 4, 'num_key_value_heads': 4, 'hidden_act': 'silu', 'max_position_embeddings': 512, 'initializer_range': 0.02, 'rms_norm_eps': 1e-06, 'use_cache': False, 'pad_token_id': 0, 'bos_token_id': 1, 'eos_token_id': 2, 'pretraining_tp': 1, 'tie_word_embeddings': True, 'rope_parameters': {'rope_theta': 10000.0, 'rope_type': 'default'}, 'attention_bias': False, 'attention_dropout': 0.0, 'mlp_bias': False, 'head_dim': 32, '_name_or_path': '', 'tokenizer_name': 'w-ahmad/tiny-stories-tokenizer', 'mlp_type': 'glu', 'activation': 'silu', 'waleed_beta': 10.0, 'model_type': 'tiny_llama', 'output_attentions': False, 'output_dir': 'out/glu-silu-150L_run', 'per_device_train_batch_size': 32, 'num_train_epochs': 1, 'max_steps': 500, 'learning_rate': 0.0007, 'lr_scheduler_type': 'constant_with_warmup', 'lr_scheduler_kwargs': None, 'warmup_steps': 200, 'optim': 'adamw_torch_fused', 'optim_args': None, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'optim_target_modules': None, 'gradient_accumulation_steps': 1, 'average_tokens_across_devices': True, 'max_grad_norm': 1.0, 'label_smoothing_factor': 0.0, 'bf16': True, 'fp16': False, 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'use_liger_kernel': False, 'liger_kernel_config': None, 'neftune_noise_alpha': None, 'torch_empty_cache_steps': None, 'auto_find_batch_size': False, 'logging_strategy': 'steps', 'logging_steps': 20, 'logging_first_step': False, 'log_on_each_node': True, 'logging_nan_inf_filter': True, 'include_num_input_tokens_seen': 'no', 'log_level': 'passive', 'log_level_replica': 'warning', 'disable_tqdm': False, 'report_to': ['wandb'], 'run_name': 'LM-glu-silu-150L-25.1M-20260812-204958', 'project': 'huggingface', 'trackio_space_id': None, 'trackio_bucket_id': None, 'trackio_static_space_id': None, 'eval_strategy': 'steps', 'eval_steps': 50, 'eval_delay': 0, 'per_device_eval_batch_size': 1024, 'prediction_loss_only': False, 'eval_on_start': False, 'eval_do_concat_batches': True, 'eval_use_gather_object': False, 'eval_accumulation_steps': None, 'include_for_metrics': [], 'batch_eval_metrics': False, 'save_only_model': False, 'save_strategy': 'steps', 'save_steps': 100, 'save_on_each_node': False, 'save_total_limit': None, 'enable_jit_checkpoint': False, 'push_to_hub': False, 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_model_id': 'w-ahmad/6L-glu-silu-150L', 'hub_strategy': 'every_save', 'hub_always_push': False, 'hub_revision': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'restore_callback_states_from_checkpoint': False, 'full_determinism': False, 'seed': 42, 'data_seed': 42, 'use_cpu': False, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'dataloader_drop_last': False, 'dataloader_num_workers': 0, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'dataloader_prefetch_factor': None, 'dataloader_multiprocessing_context': None, 'dataloader_in_order': True, 'remove_unused_columns': False, 'label_names': None, 'train_sampling_strategy': 'random', 'length_column_name': 'length', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'ddp_static_graph': None, 'ddp_backend': None, 'ddp_timeout': 1800, 'fsdp': None, 'fsdp_config': None, 'deepspeed': None, 'debug': [], 'skip_memory_metrics': True, 'do_train': False, 'do_eval': True, 'do_predict': False, 'resume_from_checkpoint': None, 'local_rank': -1}
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| 22 |
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2026-08-12 20:49:59,841 INFO MainThread:3035682 [wandb_config.py:__setitem__():155] [no run ID] config set model/num_parameters = 25138816 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x152f60578810>>
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| 23 |
+
2026-08-12 20:49:59,841 INFO MainThread:3035682 [wandb_run.py:_config_callback():1346] config_cb model/num_parameters 25138816 None
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zain/Activation/wandb/run-20260812_204959-ha94g4f6/run-ha94g4f6.wandb
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version https://git-lfs.github.com/spec/v1
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oid sha256:2a583120c2a9016c4de971abd8734131c5499266894e348d5c3cbceb78d04219
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size 196608
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