Auto upload zain 2026-08-14T21:19:40.486080 (part 4)
Browse files- .gitattributes +2 -0
- zain/Activation/wandb/debug-internal.log +65 -12
- zain/Activation/wandb/debug.log +19 -18
- zain/Activation/wandb/run-20260814_193907-kk1xbqht/logs/debug-core.log +7 -0
- zain/Activation/wandb/run-20260814_195151-ix6wcbwv/logs/debug-core.log +7 -0
- zain/Activation/wandb/run-20260814_200503-bdhnr27j/logs/debug-core.log +7 -0
- zain/Activation/wandb/run-20260814_202128-twgo1e89/logs/debug-core.log +7 -0
- zain/Activation/wandb/run-20260814_203803-7p5140bq/logs/debug-core.log +7 -0
- zain/Activation/wandb/run-20260814_210109-qauftiuh/logs/debug-core.log +7 -0
- zain/Activation/wandb/run-20260814_210809-a6574zx8/files/config.yaml +439 -0
- zain/Activation/wandb/run-20260814_210809-a6574zx8/files/output.log +7 -0
- zain/Activation/wandb/run-20260814_210809-a6574zx8/files/wandb-summary.json +0 -0
- zain/Activation/wandb/run-20260814_210809-a6574zx8/logs/debug-core.log +7 -0
- zain/Activation/wandb/run-20260814_210809-a6574zx8/logs/debug-internal.log +10 -0
- zain/Activation/wandb/run-20260814_210809-a6574zx8/logs/debug.log +5 -0
- zain/Activation/wandb/run-20260814_210809-a6574zx8/run-a6574zx8.wandb +2 -2
- zain/Activation/wandb/run-20260814_211407-i85cngas/files/output.log +43 -1
- zain/Activation/wandb/run-20260814_211407-i85cngas/logs/debug-internal.log +40 -0
- zain/Activation/wandb/run-20260814_211407-i85cngas/run-i85cngas.wandb +0 -0
- zain/Activation/wandb/run-20260814_211507-54wnyexz/files/output.log +74 -0
- zain/Activation/wandb/run-20260814_211507-54wnyexz/files/requirements.txt +149 -0
- zain/Activation/wandb/run-20260814_211507-54wnyexz/files/wandb-metadata.json +99 -0
- zain/Activation/wandb/run-20260814_211507-54wnyexz/logs/debug-core.log +63 -0
- zain/Activation/wandb/run-20260814_211507-54wnyexz/logs/debug-internal.log +65 -0
- zain/Activation/wandb/run-20260814_211507-54wnyexz/logs/debug.log +20 -0
- zain/Activation/wandb/run-20260814_211507-54wnyexz/run-54wnyexz.wandb +3 -0
.gitattributes
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zain/Activation/wandb/run-20260814_210809-a6574zx8/run-a6574zx8.wandb filter=lfs diff=lfs merge=lfs -text
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{"time":"2026-08-14T21:17:38.741283006Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:18:53.743917259Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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zain/Activation/wandb/debug.log
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2026-08-14 21:15:07,168 INFO MainThread:936813 [wandb_init.py:setup_run_log_directory():729] Logging user logs to /mnt/data/zainulabideen/zain-exp/notebooks/zain/Activation/wandb/run-20260814_211507-54wnyexz/logs/debug.log
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2026-08-14 21:15:07,168 INFO MainThread:936813 [wandb_init.py:setup_run_log_directory():730] Logging internal logs to /mnt/data/zainulabideen/zain-exp/notebooks/zain/Activation/wandb/run-20260814_211507-54wnyexz/logs/debug-internal.log
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2026-08-14 21:15:07,168 INFO MainThread:936813 [wandb_init.py:init():772] calling init triggers
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2026-08-14 21:15:07,168 INFO MainThread:936813 [wandb_init.py:init():777] wandb.init called with sweep_config: {}
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config: {'_wandb': {}}
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2026-08-14 21:15:07,168 INFO MainThread:936813 [wandb_init.py:init():820] starting backend
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2026-08-14 21:15:07,168 INFO MainThread:936813 [wandb_init.py:init():826] Connected to an existing wandb-core service via WANDB_SERVICE
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2026-08-14 21:15:07,168 INFO MainThread:936813 [wandb_init.py:init():835] sending inform_init request
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2026-08-14 21:15:07,436 INFO MainThread:936813 [wandb_init.py:init():840] backend started and connected
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2026-08-14 21:15:07,437 INFO MainThread:936813 [wandb_init.py:init():910] updated telemetry
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2026-08-14 21:15:07,444 INFO MainThread:936813 [wandb_init.py:init():933] communicating run to backend with 90.0 second timeout
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2026-08-14 21:15:07,772 INFO MainThread:936813 [wandb_init.py:init():978] starting run threads in backend
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2026-08-14 21:15:07,851 INFO MainThread:936813 [wandb_run.py:_console_start():2621] atexit reg
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2026-08-14 21:15:07,851 INFO MainThread:936813 [wandb_run.py:_redirect():2540] Wrapping output streams.
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2026-08-14 21:15:07,851 INFO MainThread:936813 [wandb_run.py:_redirect():2563] Redirects installed.
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2026-08-14 21:15:07,852 INFO MainThread:936813 [wandb_init.py:init():1016] run started, returning control to user process
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2026-08-14 21:15:07,853 INFO MainThread:936813 [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': 100, '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': 'sigmoid', 'waleed_beta': 4, 'model_type': 'tiny_llama', 'output_attentions': False, 'output_dir': 'out/glu-sigmoid-100L_trash_run', 'per_device_train_batch_size': 64, 'num_train_epochs': 1, 'max_steps': 3500, 'learning_rate': 9e-05, 'lr_scheduler_type': 'constant_with_warmup', 'lr_scheduler_kwargs': None, 'warmup_steps': 50, '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-sigmoid-100L-16.9M-20260814-211506', 'project': 'huggingface', 'trackio_space_id': None, 'trackio_bucket_id': None, 'trackio_static_space_id': None, 'eval_strategy': 'steps', 'eval_steps': 2498, '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': 50, '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-sigmoid-100L', '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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| 19 |
+
2026-08-14 21:15:07,858 INFO MainThread:936813 [wandb_config.py:__setitem__():155] [no run ID] config set model/num_parameters = 16934016 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x14ee39eebe10>>
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| 20 |
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2026-08-14 21:15:07,858 INFO MainThread:936813 [wandb_run.py:_config_callback():1346] config_cb model/num_parameters 16934016 None
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zain/Activation/wandb/run-20260814_193907-kk1xbqht/logs/debug-core.log
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{"time":"2026-08-14T21:08:14.888124439Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:08:09.296770198Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"a6574zx8","id":"3(@)"}
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{"time":"2026-08-14T21:08:09.806890437Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"bsqpd0c29zk9"}
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{"time":"2026-08-14T21:08:14.888124439Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:14:51.274587185Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:14:52.85240857Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:14:52.873645397Z","level":"INFO","msg":"handleInformFinish: finish message received","streamId":"a6574zx8","id":"3(@)"}
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{"time":"2026-08-14T21:14:52.874311484Z","level":"INFO","msg":"handleInformFinish: stream closed","streamId":"a6574zx8","id":"3(@)"}
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{"time":"2026-08-14T21:15:07.169254211Z","level":"INFO","msg":"handleInformInit: received","streamId":"54wnyexz","id":"3(@)"}
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{"time":"2026-08-14T21:15:07.435699541Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"54wnyexz","id":"3(@)"}
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{"time":"2026-08-14T21:15:12.853675736Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"fzqy9cymfofj"}
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zain/Activation/wandb/run-20260814_195151-ix6wcbwv/logs/debug-core.log
CHANGED
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{"time":"2026-08-14T21:08:09.296770198Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"a6574zx8","id":"3(@)"}
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{"time":"2026-08-14T21:08:09.806890437Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"bsqpd0c29zk9"}
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{"time":"2026-08-14T21:08:14.888124439Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:08:09.296770198Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"a6574zx8","id":"3(@)"}
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{"time":"2026-08-14T21:08:09.806890437Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"bsqpd0c29zk9"}
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{"time":"2026-08-14T21:08:14.888124439Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:14:51.274587185Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:14:52.85240857Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:14:52.873645397Z","level":"INFO","msg":"handleInformFinish: finish message received","streamId":"a6574zx8","id":"3(@)"}
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{"time":"2026-08-14T21:14:52.874311484Z","level":"INFO","msg":"handleInformFinish: stream closed","streamId":"a6574zx8","id":"3(@)"}
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{"time":"2026-08-14T21:15:07.169254211Z","level":"INFO","msg":"handleInformInit: received","streamId":"54wnyexz","id":"3(@)"}
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{"time":"2026-08-14T21:15:07.435699541Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"54wnyexz","id":"3(@)"}
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{"time":"2026-08-14T21:15:12.853675736Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"fzqy9cymfofj"}
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zain/Activation/wandb/run-20260814_200503-bdhnr27j/logs/debug-core.log
CHANGED
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{"time":"2026-08-14T21:08:09.296770198Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"a6574zx8","id":"3(@)"}
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{"time":"2026-08-14T21:08:09.806890437Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"bsqpd0c29zk9"}
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{"time":"2026-08-14T21:08:14.888124439Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:08:09.296770198Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"a6574zx8","id":"3(@)"}
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{"time":"2026-08-14T21:08:09.806890437Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"bsqpd0c29zk9"}
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{"time":"2026-08-14T21:08:14.888124439Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:14:51.274587185Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:14:52.85240857Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:14:52.873645397Z","level":"INFO","msg":"handleInformFinish: finish message received","streamId":"a6574zx8","id":"3(@)"}
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{"time":"2026-08-14T21:14:52.874311484Z","level":"INFO","msg":"handleInformFinish: stream closed","streamId":"a6574zx8","id":"3(@)"}
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{"time":"2026-08-14T21:15:07.169254211Z","level":"INFO","msg":"handleInformInit: received","streamId":"54wnyexz","id":"3(@)"}
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{"time":"2026-08-14T21:15:07.435699541Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"54wnyexz","id":"3(@)"}
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{"time":"2026-08-14T21:15:12.853675736Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"fzqy9cymfofj"}
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zain/Activation/wandb/run-20260814_202128-twgo1e89/logs/debug-core.log
CHANGED
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{"time":"2026-08-14T21:08:09.296770198Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"a6574zx8","id":"3(@)"}
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{"time":"2026-08-14T21:08:09.806890437Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"bsqpd0c29zk9"}
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{"time":"2026-08-14T21:08:14.888124439Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:08:09.806890437Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"bsqpd0c29zk9"}
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{"time":"2026-08-14T21:08:14.888124439Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:14:51.274587185Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:14:52.85240857Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:14:52.873645397Z","level":"INFO","msg":"handleInformFinish: finish message received","streamId":"a6574zx8","id":"3(@)"}
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{"time":"2026-08-14T21:14:52.874311484Z","level":"INFO","msg":"handleInformFinish: stream closed","streamId":"a6574zx8","id":"3(@)"}
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{"time":"2026-08-14T21:15:07.169254211Z","level":"INFO","msg":"handleInformInit: received","streamId":"54wnyexz","id":"3(@)"}
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{"time":"2026-08-14T21:15:07.435699541Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"54wnyexz","id":"3(@)"}
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{"time":"2026-08-14T21:15:12.853675736Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"fzqy9cymfofj"}
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zain/Activation/wandb/run-20260814_203803-7p5140bq/logs/debug-core.log
CHANGED
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{"time":"2026-08-14T21:08:09.296770198Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"a6574zx8","id":"3(@)"}
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{"time":"2026-08-14T21:08:14.888124439Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:08:09.296770198Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"a6574zx8","id":"3(@)"}
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{"time":"2026-08-14T21:08:09.806890437Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"bsqpd0c29zk9"}
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{"time":"2026-08-14T21:08:14.888124439Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:14:51.274587185Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:14:52.85240857Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
|
| 59 |
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{"time":"2026-08-14T21:14:52.873645397Z","level":"INFO","msg":"handleInformFinish: finish message received","streamId":"a6574zx8","id":"3(@)"}
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{"time":"2026-08-14T21:14:52.874311484Z","level":"INFO","msg":"handleInformFinish: stream closed","streamId":"a6574zx8","id":"3(@)"}
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{"time":"2026-08-14T21:15:07.169254211Z","level":"INFO","msg":"handleInformInit: received","streamId":"54wnyexz","id":"3(@)"}
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{"time":"2026-08-14T21:15:07.435699541Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"54wnyexz","id":"3(@)"}
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{"time":"2026-08-14T21:15:12.853675736Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"fzqy9cymfofj"}
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zain/Activation/wandb/run-20260814_210109-qauftiuh/logs/debug-core.log
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{"time":"2026-08-14T21:08:09.296770198Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"a6574zx8","id":"3(@)"}
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{"time":"2026-08-14T21:08:09.806890437Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"bsqpd0c29zk9"}
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{"time":"2026-08-14T21:08:14.888124439Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:08:09.296770198Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"a6574zx8","id":"3(@)"}
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| 55 |
{"time":"2026-08-14T21:08:09.806890437Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"bsqpd0c29zk9"}
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| 56 |
{"time":"2026-08-14T21:08:14.888124439Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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+
{"time":"2026-08-14T21:14:51.274587185Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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+
{"time":"2026-08-14T21:14:52.85240857Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:14:52.873645397Z","level":"INFO","msg":"handleInformFinish: finish message received","streamId":"a6574zx8","id":"3(@)"}
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{"time":"2026-08-14T21:14:52.874311484Z","level":"INFO","msg":"handleInformFinish: stream closed","streamId":"a6574zx8","id":"3(@)"}
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{"time":"2026-08-14T21:15:07.169254211Z","level":"INFO","msg":"handleInformInit: received","streamId":"54wnyexz","id":"3(@)"}
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{"time":"2026-08-14T21:15:07.435699541Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"54wnyexz","id":"3(@)"}
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{"time":"2026-08-14T21:15:12.853675736Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"fzqy9cymfofj"}
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zain/Activation/wandb/run-20260814_210809-a6574zx8/files/config.yaml
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|
| 1 |
+
_name_or_path:
|
| 2 |
+
value: ""
|
| 3 |
+
_wandb:
|
| 4 |
+
value:
|
| 5 |
+
cli_version: 0.28.1
|
| 6 |
+
e:
|
| 7 |
+
upcn9ahkwrhy5vr293v2ixhfn8n9p8k0:
|
| 8 |
+
args:
|
| 9 |
+
- --config
|
| 10 |
+
- /mnt/data/zainulabideen/zain-exp/notebooks/zain/Activation/configs/baseline100l.yaml
|
| 11 |
+
- --variants
|
| 12 |
+
- glu-relu
|
| 13 |
+
- glu-gelu
|
| 14 |
+
- glu-sigmoid
|
| 15 |
+
- glu-waleed10
|
| 16 |
+
- glu-silu-waleed10
|
| 17 |
+
codePath: sweep.py
|
| 18 |
+
codePathLocal: sweep.py
|
| 19 |
+
cpu_count: 112
|
| 20 |
+
cpu_count_logical: 224
|
| 21 |
+
cudaVersion: "12.4"
|
| 22 |
+
disk:
|
| 23 |
+
/:
|
| 24 |
+
total: "1560765693952"
|
| 25 |
+
used: "701339574272"
|
| 26 |
+
email: deepnevro@gmail.com
|
| 27 |
+
executable: /mnt/data/zainulabideen/zain-exp/notebooks/my_env/bin/python
|
| 28 |
+
git:
|
| 29 |
+
commit: 3fb47c6943d6927eafc39bd399a3d3a520bae74a
|
| 30 |
+
remote: https://github.com/w-ahmad1a10/Activation.git
|
| 31 |
+
gpu: NVIDIA H100 80GB HBM3
|
| 32 |
+
gpu_count: 8
|
| 33 |
+
gpu_nvidia:
|
| 34 |
+
- architecture: Hopper
|
| 35 |
+
cudaCores: 16896
|
| 36 |
+
memoryTotal: "85520809984"
|
| 37 |
+
name: NVIDIA H100 80GB HBM3
|
| 38 |
+
uuid: GPU-39c684a5-fde6-83d7-1663-0859795881ae
|
| 39 |
+
- architecture: Hopper
|
| 40 |
+
cudaCores: 16896
|
| 41 |
+
memoryTotal: "85520809984"
|
| 42 |
+
name: NVIDIA H100 80GB HBM3
|
| 43 |
+
uuid: GPU-68012e5a-38b6-b643-0ca6-62fb66720bf3
|
| 44 |
+
- architecture: Hopper
|
| 45 |
+
cudaCores: 16896
|
| 46 |
+
memoryTotal: "85520809984"
|
| 47 |
+
name: NVIDIA H100 80GB HBM3
|
| 48 |
+
uuid: GPU-132944c4-b689-2b5f-89a4-d730401677ab
|
| 49 |
+
- architecture: Hopper
|
| 50 |
+
cudaCores: 16896
|
| 51 |
+
memoryTotal: "85520809984"
|
| 52 |
+
name: NVIDIA H100 80GB HBM3
|
| 53 |
+
uuid: GPU-2df386cc-6d26-d0e2-7a2d-a057b0d95864
|
| 54 |
+
- architecture: Hopper
|
| 55 |
+
cudaCores: 16896
|
| 56 |
+
memoryTotal: "85520809984"
|
| 57 |
+
name: NVIDIA H100 80GB HBM3
|
| 58 |
+
uuid: GPU-bfa16575-1d94-1aa2-4537-2c93433f42ef
|
| 59 |
+
- architecture: Hopper
|
| 60 |
+
cudaCores: 16896
|
| 61 |
+
memoryTotal: "85520809984"
|
| 62 |
+
name: NVIDIA H100 80GB HBM3
|
| 63 |
+
uuid: GPU-bc6c3e3c-9b90-09ca-c034-774961847c54
|
| 64 |
+
- architecture: Hopper
|
| 65 |
+
cudaCores: 16896
|
| 66 |
+
memoryTotal: "85520809984"
|
| 67 |
+
name: NVIDIA H100 80GB HBM3
|
| 68 |
+
uuid: GPU-00a441e1-7c95-e7d6-4c35-43d6b291aea9
|
| 69 |
+
- architecture: Hopper
|
| 70 |
+
cudaCores: 16896
|
| 71 |
+
memoryTotal: "85520809984"
|
| 72 |
+
name: NVIDIA H100 80GB HBM3
|
| 73 |
+
uuid: GPU-1c4d29a2-4647-6fce-d8fc-0c5ecfbbd6ea
|
| 74 |
+
host: deeplens-k3s-node1
|
| 75 |
+
memory:
|
| 76 |
+
total: "2164089937920"
|
| 77 |
+
os: Linux-5.15.0-126-generic-x86_64-with-glibc2.35
|
| 78 |
+
program: /mnt/data/zainulabideen/zain-exp/notebooks/zain/Activation/sweep.py
|
| 79 |
+
python: CPython 3.11.15
|
| 80 |
+
root: /mnt/data/zainulabideen/zain-exp/notebooks/zain/Activation
|
| 81 |
+
startedAt: "2026-08-14T21:08:09.034947Z"
|
| 82 |
+
writerId: upcn9ahkwrhy5vr293v2ixhfn8n9p8k0
|
| 83 |
+
m:
|
| 84 |
+
- "1": train/global_step
|
| 85 |
+
"6":
|
| 86 |
+
- 3
|
| 87 |
+
"7": []
|
| 88 |
+
- "2": '*'
|
| 89 |
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"5": 1
|
| 90 |
+
"6":
|
| 91 |
+
- 1
|
| 92 |
+
"7": []
|
| 93 |
+
python_version: 3.11.15
|
| 94 |
+
t:
|
| 95 |
+
"1":
|
| 96 |
+
- 1
|
| 97 |
+
- 5
|
| 98 |
+
- 11
|
| 99 |
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- 41
|
| 100 |
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- 49
|
| 101 |
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- 51
|
| 102 |
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- 53
|
| 103 |
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|
| 104 |
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"2":
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| 105 |
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- 1
|
| 106 |
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|
| 107 |
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|
| 108 |
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- 41
|
| 109 |
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- 49
|
| 110 |
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- 51
|
| 111 |
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- 53
|
| 112 |
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- 71
|
| 113 |
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"3":
|
| 114 |
+
- 2
|
| 115 |
+
- 7
|
| 116 |
+
- 13
|
| 117 |
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- 19
|
| 118 |
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- 41
|
| 119 |
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- 61
|
| 120 |
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- 62
|
| 121 |
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- 66
|
| 122 |
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"4": 3.11.15
|
| 123 |
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"5": 0.28.1
|
| 124 |
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"6": 5.16.0.dev0
|
| 125 |
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"9":
|
| 126 |
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"1": transformers_trainer
|
| 127 |
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"12": 0.28.1
|
| 128 |
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"13": linux-x86_64
|
| 129 |
+
accelerator_config:
|
| 130 |
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value:
|
| 131 |
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dispatch_batches: null
|
| 132 |
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even_batches: true
|
| 133 |
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gradient_accumulation_kwargs: null
|
| 134 |
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non_blocking: false
|
| 135 |
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split_batches: false
|
| 136 |
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use_seedable_sampler: true
|
| 137 |
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activation:
|
| 138 |
+
value: gelu
|
| 139 |
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adam_beta1:
|
| 140 |
+
value: 0.9
|
| 141 |
+
adam_beta2:
|
| 142 |
+
value: 0.999
|
| 143 |
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adam_epsilon:
|
| 144 |
+
value: 1e-08
|
| 145 |
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architectures:
|
| 146 |
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value: null
|
| 147 |
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attention_bias:
|
| 148 |
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value: false
|
| 149 |
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attention_dropout:
|
| 150 |
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value: 0
|
| 151 |
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auto_find_batch_size:
|
| 152 |
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value: false
|
| 153 |
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average_tokens_across_devices:
|
| 154 |
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value: true
|
| 155 |
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batch_eval_metrics:
|
| 156 |
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value: false
|
| 157 |
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bf16:
|
| 158 |
+
value: true
|
| 159 |
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bf16_full_eval:
|
| 160 |
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value: false
|
| 161 |
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bos_token_id:
|
| 162 |
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value: 1
|
| 163 |
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chunk_size_feed_forward:
|
| 164 |
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value: 0
|
| 165 |
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data_seed:
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| 166 |
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value: 42
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| 167 |
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dataloader_drop_last:
|
| 168 |
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value: false
|
| 169 |
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dataloader_in_order:
|
| 170 |
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value: true
|
| 171 |
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dataloader_multiprocessing_context:
|
| 172 |
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value: null
|
| 173 |
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dataloader_num_workers:
|
| 174 |
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value: 0
|
| 175 |
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dataloader_persistent_workers:
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| 176 |
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value: false
|
| 177 |
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dataloader_pin_memory:
|
| 178 |
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value: true
|
| 179 |
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dataloader_prefetch_factor:
|
| 180 |
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value: null
|
| 181 |
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ddp_backend:
|
| 182 |
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value: null
|
| 183 |
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ddp_broadcast_buffers:
|
| 184 |
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value: null
|
| 185 |
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ddp_bucket_cap_mb:
|
| 186 |
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value: null
|
| 187 |
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ddp_find_unused_parameters:
|
| 188 |
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value: null
|
| 189 |
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ddp_static_graph:
|
| 190 |
+
value: null
|
| 191 |
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ddp_timeout:
|
| 192 |
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value: 1800
|
| 193 |
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debug:
|
| 194 |
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value: []
|
| 195 |
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deepspeed:
|
| 196 |
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value: null
|
| 197 |
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disable_tqdm:
|
| 198 |
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value: false
|
| 199 |
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do_eval:
|
| 200 |
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value: true
|
| 201 |
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do_predict:
|
| 202 |
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value: false
|
| 203 |
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do_train:
|
| 204 |
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value: false
|
| 205 |
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dtype:
|
| 206 |
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value: null
|
| 207 |
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enable_jit_checkpoint:
|
| 208 |
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value: false
|
| 209 |
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eos_token_id:
|
| 210 |
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value: 2
|
| 211 |
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eval_accumulation_steps:
|
| 212 |
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value: null
|
| 213 |
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eval_delay:
|
| 214 |
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value: 0
|
| 215 |
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eval_do_concat_batches:
|
| 216 |
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value: true
|
| 217 |
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eval_on_start:
|
| 218 |
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value: false
|
| 219 |
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eval_steps:
|
| 220 |
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value: 2498
|
| 221 |
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eval_strategy:
|
| 222 |
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value: steps
|
| 223 |
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eval_use_gather_object:
|
| 224 |
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value: false
|
| 225 |
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fp16:
|
| 226 |
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value: false
|
| 227 |
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fp16_full_eval:
|
| 228 |
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value: false
|
| 229 |
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fsdp:
|
| 230 |
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value: null
|
| 231 |
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fsdp_config:
|
| 232 |
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value: null
|
| 233 |
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full_determinism:
|
| 234 |
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value: false
|
| 235 |
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gradient_accumulation_steps:
|
| 236 |
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value: 1
|
| 237 |
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gradient_checkpointing:
|
| 238 |
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value: false
|
| 239 |
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gradient_checkpointing_kwargs:
|
| 240 |
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value: null
|
| 241 |
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greater_is_better:
|
| 242 |
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value: null
|
| 243 |
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head_dim:
|
| 244 |
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value: 32
|
| 245 |
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hidden_act:
|
| 246 |
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value: silu
|
| 247 |
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hidden_size:
|
| 248 |
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value: 128
|
| 249 |
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hub_always_push:
|
| 250 |
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value: false
|
| 251 |
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hub_model_id:
|
| 252 |
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value: w-ahmad/6L-glu-gelu-100L
|
| 253 |
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hub_private_repo:
|
| 254 |
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value: null
|
| 255 |
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hub_revision:
|
| 256 |
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value: null
|
| 257 |
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hub_strategy:
|
| 258 |
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value: every_save
|
| 259 |
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hub_token:
|
| 260 |
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value: <HUB_TOKEN>
|
| 261 |
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id2label:
|
| 262 |
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value:
|
| 263 |
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"0": LABEL_0
|
| 264 |
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"1": LABEL_1
|
| 265 |
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ignore_data_skip:
|
| 266 |
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value: false
|
| 267 |
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include_for_metrics:
|
| 268 |
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value: []
|
| 269 |
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include_num_input_tokens_seen:
|
| 270 |
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value: "no"
|
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initializer_range:
|
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value: 0.02
|
| 273 |
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intermediate_size:
|
| 274 |
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value: 256
|
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is_encoder_decoder:
|
| 276 |
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value: false
|
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label_names:
|
| 278 |
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value: null
|
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label_smoothing_factor:
|
| 280 |
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value: 0
|
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label2id:
|
| 282 |
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value:
|
| 283 |
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LABEL_0: 0
|
| 284 |
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LABEL_1: 1
|
| 285 |
+
learning_rate:
|
| 286 |
+
value: 9e-05
|
| 287 |
+
length_column_name:
|
| 288 |
+
value: length
|
| 289 |
+
liger_kernel_config:
|
| 290 |
+
value: null
|
| 291 |
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load_best_model_at_end:
|
| 292 |
+
value: false
|
| 293 |
+
local_rank:
|
| 294 |
+
value: -1
|
| 295 |
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log_level:
|
| 296 |
+
value: passive
|
| 297 |
+
log_level_replica:
|
| 298 |
+
value: warning
|
| 299 |
+
log_on_each_node:
|
| 300 |
+
value: true
|
| 301 |
+
logging_first_step:
|
| 302 |
+
value: false
|
| 303 |
+
logging_nan_inf_filter:
|
| 304 |
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value: true
|
| 305 |
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logging_steps:
|
| 306 |
+
value: 20
|
| 307 |
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logging_strategy:
|
| 308 |
+
value: steps
|
| 309 |
+
lr_scheduler_kwargs:
|
| 310 |
+
value: null
|
| 311 |
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lr_scheduler_type:
|
| 312 |
+
value: constant_with_warmup
|
| 313 |
+
max_grad_norm:
|
| 314 |
+
value: 1
|
| 315 |
+
max_position_embeddings:
|
| 316 |
+
value: 512
|
| 317 |
+
max_steps:
|
| 318 |
+
value: 3500
|
| 319 |
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metric_for_best_model:
|
| 320 |
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value: null
|
| 321 |
+
mlp_bias:
|
| 322 |
+
value: false
|
| 323 |
+
mlp_type:
|
| 324 |
+
value: glu
|
| 325 |
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model/num_parameters:
|
| 326 |
+
value: 16934016
|
| 327 |
+
model_type:
|
| 328 |
+
value: tiny_llama
|
| 329 |
+
neftune_noise_alpha:
|
| 330 |
+
value: null
|
| 331 |
+
num_attention_heads:
|
| 332 |
+
value: 4
|
| 333 |
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num_hidden_layers:
|
| 334 |
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value: 100
|
| 335 |
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num_key_value_heads:
|
| 336 |
+
value: 4
|
| 337 |
+
num_train_epochs:
|
| 338 |
+
value: 1
|
| 339 |
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optim:
|
| 340 |
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value: adamw_torch_fused
|
| 341 |
+
optim_args:
|
| 342 |
+
value: null
|
| 343 |
+
optim_target_modules:
|
| 344 |
+
value: null
|
| 345 |
+
output_attentions:
|
| 346 |
+
value: false
|
| 347 |
+
output_dir:
|
| 348 |
+
value: out/glu-gelu-100L_trash_run
|
| 349 |
+
output_hidden_states:
|
| 350 |
+
value: false
|
| 351 |
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pad_token_id:
|
| 352 |
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value: 0
|
| 353 |
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parallelism_config:
|
| 354 |
+
value: null
|
| 355 |
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per_device_eval_batch_size:
|
| 356 |
+
value: 1024
|
| 357 |
+
per_device_train_batch_size:
|
| 358 |
+
value: 64
|
| 359 |
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prediction_loss_only:
|
| 360 |
+
value: false
|
| 361 |
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pretraining_tp:
|
| 362 |
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value: 1
|
| 363 |
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problem_type:
|
| 364 |
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value: null
|
| 365 |
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project:
|
| 366 |
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value: huggingface
|
| 367 |
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push_to_hub:
|
| 368 |
+
value: false
|
| 369 |
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remove_unused_columns:
|
| 370 |
+
value: false
|
| 371 |
+
report_to:
|
| 372 |
+
value:
|
| 373 |
+
- wandb
|
| 374 |
+
restore_callback_states_from_checkpoint:
|
| 375 |
+
value: false
|
| 376 |
+
resume_from_checkpoint:
|
| 377 |
+
value: null
|
| 378 |
+
return_dict:
|
| 379 |
+
value: true
|
| 380 |
+
rms_norm_eps:
|
| 381 |
+
value: 1e-06
|
| 382 |
+
rope_parameters:
|
| 383 |
+
value:
|
| 384 |
+
rope_theta: 10000
|
| 385 |
+
rope_type: default
|
| 386 |
+
run_name:
|
| 387 |
+
value: LM-glu-gelu-100L-16.9M-20260814-210807
|
| 388 |
+
save_on_each_node:
|
| 389 |
+
value: false
|
| 390 |
+
save_only_model:
|
| 391 |
+
value: false
|
| 392 |
+
save_steps:
|
| 393 |
+
value: 50
|
| 394 |
+
save_strategy:
|
| 395 |
+
value: steps
|
| 396 |
+
save_total_limit:
|
| 397 |
+
value: null
|
| 398 |
+
seed:
|
| 399 |
+
value: 42
|
| 400 |
+
skip_memory_metrics:
|
| 401 |
+
value: true
|
| 402 |
+
tf32:
|
| 403 |
+
value: null
|
| 404 |
+
tie_word_embeddings:
|
| 405 |
+
value: true
|
| 406 |
+
tokenizer_name:
|
| 407 |
+
value: w-ahmad/tiny-stories-tokenizer
|
| 408 |
+
torch_compile:
|
| 409 |
+
value: false
|
| 410 |
+
torch_compile_backend:
|
| 411 |
+
value: null
|
| 412 |
+
torch_compile_mode:
|
| 413 |
+
value: null
|
| 414 |
+
torch_empty_cache_steps:
|
| 415 |
+
value: null
|
| 416 |
+
trackio_bucket_id:
|
| 417 |
+
value: null
|
| 418 |
+
trackio_space_id:
|
| 419 |
+
value: null
|
| 420 |
+
trackio_static_space_id:
|
| 421 |
+
value: null
|
| 422 |
+
train_sampling_strategy:
|
| 423 |
+
value: random
|
| 424 |
+
transformers_version:
|
| 425 |
+
value: 5.16.0.dev0
|
| 426 |
+
use_cache:
|
| 427 |
+
value: false
|
| 428 |
+
use_cpu:
|
| 429 |
+
value: false
|
| 430 |
+
use_liger_kernel:
|
| 431 |
+
value: false
|
| 432 |
+
vocab_size:
|
| 433 |
+
value: 4096
|
| 434 |
+
waleed_beta:
|
| 435 |
+
value: 4
|
| 436 |
+
warmup_steps:
|
| 437 |
+
value: 50
|
| 438 |
+
weight_decay:
|
| 439 |
+
value: 0
|
zain/Activation/wandb/run-20260814_210809-a6574zx8/files/output.log
CHANGED
|
@@ -102,3 +102,10 @@ Writing model shards: 100%|██████████| 1/1 [00:00<00:00, 16.
|
|
| 102 |
Writing model shards: 100%|██████████| 1/1 [00:00<00:00, 18.61it/s]
|
| 103 |
100%|██████████| 3500/3500 [06:23<00:00, 9.12it/s], ?it/s]
|
| 104 |
{'train_runtime': '385', 'train_samples_per_second': '581.9', 'train_steps_per_second': '9.091', 'train_loss': '2.202', 'epoch': '0.2359', 'train/total_time_seconds': '308.9', 'train/time_per_step_avg': '0.2828', 'train/epoch_time_elapsed': '383.8', 'train/estimated_remaining_minutes': '0'}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 102 |
Writing model shards: 100%|██████████| 1/1 [00:00<00:00, 18.61it/s]
|
| 103 |
100%|██████████| 3500/3500 [06:23<00:00, 9.12it/s], ?it/s]
|
| 104 |
{'train_runtime': '385', 'train_samples_per_second': '581.9', 'train_steps_per_second': '9.091', 'train_loss': '2.202', 'epoch': '0.2359', 'train/total_time_seconds': '308.9', 'train/time_per_step_avg': '0.2828', 'train/epoch_time_elapsed': '383.8', 'train/estimated_remaining_minutes': '0'}
|
| 105 |
+
100%|██████████| 10/10 [00:15<00:00, 1.51s/it]
|
| 106 |
+
[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.
|
| 107 |
+
- 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
|
| 108 |
+
- 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).
|
| 109 |
+
- If you are not the owner of the model architecture class, please contact the model code owner to update it.
|
| 110 |
+
Writing model shards: 100%|██████████| 1/1 [00:00<00:00, 16.64it/s]
|
| 111 |
+
>>> FINISHED glu-gelu-100L successfully
|
zain/Activation/wandb/run-20260814_210809-a6574zx8/files/wandb-summary.json
ADDED
|
The diff for this file is too large to render.
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|
zain/Activation/wandb/run-20260814_210809-a6574zx8/logs/debug-core.log
CHANGED
|
@@ -54,3 +54,10 @@
|
|
| 54 |
{"time":"2026-08-14T21:08:09.296770198Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"a6574zx8","id":"3(@)"}
|
| 55 |
{"time":"2026-08-14T21:08:09.806890437Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"bsqpd0c29zk9"}
|
| 56 |
{"time":"2026-08-14T21:08:14.888124439Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
|
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|
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|
| 54 |
{"time":"2026-08-14T21:08:09.296770198Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"a6574zx8","id":"3(@)"}
|
| 55 |
{"time":"2026-08-14T21:08:09.806890437Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"bsqpd0c29zk9"}
|
| 56 |
{"time":"2026-08-14T21:08:14.888124439Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
|
| 57 |
+
{"time":"2026-08-14T21:14:51.274587185Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
|
| 58 |
+
{"time":"2026-08-14T21:14:52.85240857Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
|
| 59 |
+
{"time":"2026-08-14T21:14:52.873645397Z","level":"INFO","msg":"handleInformFinish: finish message received","streamId":"a6574zx8","id":"3(@)"}
|
| 60 |
+
{"time":"2026-08-14T21:14:52.874311484Z","level":"INFO","msg":"handleInformFinish: stream closed","streamId":"a6574zx8","id":"3(@)"}
|
| 61 |
+
{"time":"2026-08-14T21:15:07.169254211Z","level":"INFO","msg":"handleInformInit: received","streamId":"54wnyexz","id":"3(@)"}
|
| 62 |
+
{"time":"2026-08-14T21:15:07.435699541Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"54wnyexz","id":"3(@)"}
|
| 63 |
+
{"time":"2026-08-14T21:15:12.853675736Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"fzqy9cymfofj"}
|
zain/Activation/wandb/run-20260814_210809-a6574zx8/logs/debug-internal.log
CHANGED
|
@@ -59,3 +59,13 @@
|
|
| 59 |
{"time":"2026-08-14T21:14:10.945223769Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 60 |
{"time":"2026-08-14T21:14:24.907797301Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":49,"history_lines":1,"events_offset":47,"events_lines":2,"console_offset":91,"console_lines":1}
|
| 61 |
{"time":"2026-08-14T21:14:25.747074137Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
| 59 |
{"time":"2026-08-14T21:14:10.945223769Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 60 |
{"time":"2026-08-14T21:14:24.907797301Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":49,"history_lines":1,"events_offset":47,"events_lines":2,"console_offset":91,"console_lines":1}
|
| 61 |
{"time":"2026-08-14T21:14:25.747074137Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 62 |
+
{"time":"2026-08-14T21:14:39.910134146Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":50,"history_lines":2,"events_offset":49,"events_lines":2,"console_offset":91,"console_lines":1}
|
| 63 |
+
{"time":"2026-08-14T21:14:40.657863657Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 64 |
+
{"time":"2026-08-14T21:14:52.017579403Z","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
|
| 65 |
+
{"time":"2026-08-14T21:14:52.026614872Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":52,"history_lines":1,"events_offset":51,"events_lines":1,"console_offset":96,"console_lines":15,"uploaded_len":3,"complete":true,"exit_code":0}
|
| 66 |
+
{"time":"2026-08-14T21:14:52.832575952Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 67 |
+
{"time":"2026-08-14T21:14:52.833971568Z","level":"INFO","msg":"handler: operation stats","stats":{}}
|
| 68 |
+
{"time":"2026-08-14T21:14:52.873689012Z","level":"INFO","msg":"stream: finishing up"}
|
| 69 |
+
{"time":"2026-08-14T21:14:52.873727527Z","level":"INFO","msg":"handler: closed"}
|
| 70 |
+
{"time":"2026-08-14T21:14:52.873803974Z","level":"INFO","msg":"sender: closed"}
|
| 71 |
+
{"time":"2026-08-14T21:14:52.873808726Z","level":"INFO","msg":"stream: all finished"}
|
zain/Activation/wandb/run-20260814_210809-a6574zx8/logs/debug.log
CHANGED
|
@@ -18,3 +18,8 @@ config: {'_wandb': {}}
|
|
| 18 |
2026-08-14 21:08:09,886 INFO MainThread:936813 [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': 100, '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': 'gelu', 'waleed_beta': 4, 'model_type': 'tiny_llama', 'output_attentions': False, 'output_dir': 'out/glu-gelu-100L_trash_run', 'per_device_train_batch_size': 64, 'num_train_epochs': 1, 'max_steps': 3500, 'learning_rate': 9e-05, 'lr_scheduler_type': 'constant_with_warmup', 'lr_scheduler_kwargs': None, 'warmup_steps': 50, '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-gelu-100L-16.9M-20260814-210807', 'project': 'huggingface', 'trackio_space_id': None, 'trackio_bucket_id': None, 'trackio_static_space_id': None, 'eval_strategy': 'steps', 'eval_steps': 2498, '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': 50, '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-gelu-100L', '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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| 19 |
2026-08-14 21:08:09,891 INFO MainThread:936813 [wandb_config.py:__setitem__():155] [no run ID] config set model/num_parameters = 16934016 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x14ee39e0dd90>>
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2026-08-14 21:08:09,891 INFO MainThread:936813 [wandb_run.py:_config_callback():1346] config_cb model/num_parameters 16934016 None
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2026-08-14 21:08:09,886 INFO MainThread:936813 [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': 100, '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': 'gelu', 'waleed_beta': 4, 'model_type': 'tiny_llama', 'output_attentions': False, 'output_dir': 'out/glu-gelu-100L_trash_run', 'per_device_train_batch_size': 64, 'num_train_epochs': 1, 'max_steps': 3500, 'learning_rate': 9e-05, 'lr_scheduler_type': 'constant_with_warmup', 'lr_scheduler_kwargs': None, 'warmup_steps': 50, '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-gelu-100L-16.9M-20260814-210807', 'project': 'huggingface', 'trackio_space_id': None, 'trackio_bucket_id': None, 'trackio_static_space_id': None, 'eval_strategy': 'steps', 'eval_steps': 2498, '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': 50, '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-gelu-100L', '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}
|
| 19 |
2026-08-14 21:08:09,891 INFO MainThread:936813 [wandb_config.py:__setitem__():155] [no run ID] config set model/num_parameters = 16934016 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x14ee39e0dd90>>
|
| 20 |
2026-08-14 21:08:09,891 INFO MainThread:936813 [wandb_run.py:_config_callback():1346] config_cb model/num_parameters 16934016 None
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| 21 |
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2026-08-14 21:14:51,273 INFO MainThread:936813 [wandb_run.py:_finish():2383] finishing run deepnevro-deepnevro/research7/a6574zx8
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2026-08-14 21:14:51,274 INFO MainThread:936813 [wandb_run.py:_atexit_cleanup():2588] got exitcode: 0
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2026-08-14 21:14:51,274 INFO MainThread:936813 [wandb_run.py:_restore():2570] restore
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2026-08-14 21:14:51,274 INFO MainThread:936813 [wandb_run.py:_restore():2576] restore done
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2026-08-14 21:14:52,872 INFO MainThread:936813 [wandb_run.py:_footer_sync_info():3993] logging synced files
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zain/Activation/wandb/run-20260814_210809-a6574zx8/run-a6574zx8.wandb
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zain/Activation/wandb/run-20260814_211407-i85cngas/files/output.log
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{'loss': '7.143', 'grad_norm': '0.9727', 'learning_rate': '0.001', 'epoch': '0.01078', 'train/total_time_seconds': '5.76', 'train/time_per_step_avg': '0.288', 'train/epoch_time_elapsed': '13.8', 'train/estimated_remaining_minutes': '4.704'}
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| 3 |
{'loss': '5.904', 'grad_norm': '0.8125', 'learning_rate': '0.001', 'epoch': '0.02156', 'train/total_time_seconds': '11.67', 'train/time_per_step_avg': '0.2917', 'train/epoch_time_elapsed': '27.3', 'train/estimated_remaining_minutes': '4.668'}
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10%|█ | 100/1000 [01:02<09:54, 1.51it/s][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.
|
| 2 |
{'loss': '7.143', 'grad_norm': '0.9727', 'learning_rate': '0.001', 'epoch': '0.01078', 'train/total_time_seconds': '5.76', 'train/time_per_step_avg': '0.288', 'train/epoch_time_elapsed': '13.8', 'train/estimated_remaining_minutes': '4.704'}
|
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|
| 4 |
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{'loss': '5.334', 'grad_norm': '0.75', 'learning_rate': '0.001', 'epoch': '0.03235', 'train/total_time_seconds': '16.46', 'train/time_per_step_avg': '0.2744', 'train/epoch_time_elapsed': '39.57', 'train/estimated_remaining_minutes': '4.299'}
|
| 5 |
+
{'loss': '4.782', 'grad_norm': '0.4121', 'learning_rate': '0.001', 'epoch': '0.04313', 'train/total_time_seconds': '20.63', 'train/time_per_step_avg': '0.2579', 'train/epoch_time_elapsed': '51.19', 'train/estimated_remaining_minutes': '3.954'}
|
| 6 |
+
{'loss': '4.378', 'grad_norm': '0.6055', 'learning_rate': '0.001', 'epoch': '0.05391', 'train/total_time_seconds': '24.69', 'train/time_per_step_avg': '0.2469', 'train/epoch_time_elapsed': '62.89', 'train/estimated_remaining_minutes': '3.703'}
|
| 7 |
+
- 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
|
| 8 |
+
- 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).
|
| 9 |
+
- If you are not the owner of the model architecture class, please contact the model code owner to update it.
|
| 10 |
+
Writing model shards: 100%|██████████| 1/1 [00:00<00:00, 154.20it/s]
|
| 11 |
+
20%|██ | 200/1000 [02:13<09:01, 1.48it/s][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.
|
| 12 |
+
{'loss': '4.12', 'grad_norm': '1.125', 'learning_rate': '0.001', 'epoch': '0.06469', 'train/total_time_seconds': '31.46', 'train/time_per_step_avg': '0.257', 'train/epoch_time_elapsed': '77.2', 'train/estimated_remaining_minutes': '3.845'}
|
| 13 |
+
{'loss': '3.904', 'grad_norm': '0.8047', 'learning_rate': '0.001', 'epoch': '0.07547', 'train/total_time_seconds': '37.8', 'train/time_per_step_avg': '0.2613', 'train/epoch_time_elapsed': '91.15', 'train/estimated_remaining_minutes': '3.87'}
|
| 14 |
+
{'loss': '3.715', 'grad_norm': '1.258', 'learning_rate': '0.001', 'epoch': '0.08625', 'train/total_time_seconds': '44.08', 'train/time_per_step_avg': '0.2762', 'train/epoch_time_elapsed': '105', 'train/estimated_remaining_minutes': '3.857'}
|
| 15 |
+
{'loss': '3.565', 'grad_norm': '0.6289', 'learning_rate': '0.001', 'epoch': '0.09704', 'train/total_time_seconds': '50.42', 'train/time_per_step_avg': '0.2979', 'train/epoch_time_elapsed': '118.9', 'train/estimated_remaining_minutes': '3.828'}
|
| 16 |
+
{'loss': '3.437', 'grad_norm': '0.5781', 'learning_rate': '0.001', 'epoch': '0.1078', 'train/total_time_seconds': '57.4', 'train/time_per_step_avg': '0.3272', 'train/epoch_time_elapsed': '133.4', 'train/estimated_remaining_minutes': '3.827'}
|
| 17 |
+
- 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
|
| 18 |
+
- 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).
|
| 19 |
+
- If you are not the owner of the model architecture class, please contact the model code owner to update it.
|
| 20 |
+
Writing model shards: 100%|██████████| 1/1 [00:00<00:00, 161.42it/s]
|
| 21 |
+
30%|███ | 300/1000 [03:23<07:49, 1.49it/s][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.
|
| 22 |
+
{'loss': '3.323', 'grad_norm': '0.832', 'learning_rate': '0.001', 'epoch': '0.1186', 'train/total_time_seconds': '64.54', 'train/time_per_step_avg': '0.3309', 'train/epoch_time_elapsed': '148', 'train/estimated_remaining_minutes': '3.814'}
|
| 23 |
+
{'loss': '3.229', 'grad_norm': '0.6211', 'learning_rate': '0.001', 'epoch': '0.1294', 'train/total_time_seconds': '70.94', 'train/time_per_step_avg': '0.3314', 'train/epoch_time_elapsed': '161.9', 'train/estimated_remaining_minutes': '3.744'}
|
| 24 |
+
{'loss': '3.139', 'grad_norm': '0.5859', 'learning_rate': '0.001', 'epoch': '0.1402', 'train/total_time_seconds': '77.43', 'train/time_per_step_avg': '0.3335', 'train/epoch_time_elapsed': '175.9', 'train/estimated_remaining_minutes': '3.673'}
|
| 25 |
+
{'loss': '3.056', 'grad_norm': '0.9492', 'learning_rate': '0.001', 'epoch': '0.1509', 'train/total_time_seconds': '83.82', 'train/time_per_step_avg': '0.3341', 'train/epoch_time_elapsed': '189.9', 'train/estimated_remaining_minutes': '3.592'}
|
| 26 |
+
{'loss': '2.987', 'grad_norm': '0.4531', 'learning_rate': '0.001', 'epoch': '0.1617', 'train/total_time_seconds': '90.28', 'train/time_per_step_avg': '0.3288', 'train/epoch_time_elapsed': '203.7', 'train/estimated_remaining_minutes': '3.511'}
|
| 27 |
+
- 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
|
| 28 |
+
- 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).
|
| 29 |
+
- If you are not the owner of the model architecture class, please contact the model code owner to update it.
|
| 30 |
+
Writing model shards: 100%|██████████| 1/1 [00:00<00:00, 156.30it/s]
|
| 31 |
+
40%|████ | 400/1000 [04:34<07:23, 1.35it/s][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.
|
| 32 |
+
{'loss': '2.924', 'grad_norm': '0.5938', 'learning_rate': '0.001', 'epoch': '0.1725', 'train/total_time_seconds': '96.87', 'train/time_per_step_avg': '0.3232', 'train/epoch_time_elapsed': '217.9', 'train/estimated_remaining_minutes': '3.431'}
|
| 33 |
+
{'loss': '2.863', 'grad_norm': '0.6836', 'learning_rate': '0.001', 'epoch': '0.1833', 'train/total_time_seconds': '103.1', 'train/time_per_step_avg': '0.3219', 'train/epoch_time_elapsed': '231.7', 'train/estimated_remaining_minutes': '3.336'}
|
| 34 |
+
{'loss': '2.815', 'grad_norm': '0.582', 'learning_rate': '0.001', 'epoch': '0.1941', 'train/total_time_seconds': '109.8', 'train/time_per_step_avg': '0.3233', 'train/epoch_time_elapsed': '245.9', 'train/estimated_remaining_minutes': '3.252'}
|
| 35 |
+
{'loss': '2.769', 'grad_norm': '0.6719', 'learning_rate': '0.001', 'epoch': '0.2049', 'train/total_time_seconds': '116.7', 'train/time_per_step_avg': '0.3286', 'train/epoch_time_elapsed': '260.4', 'train/estimated_remaining_minutes': '3.173'}
|
| 36 |
+
{'loss': '2.726', 'grad_norm': '0.5781', 'learning_rate': '0.001', 'epoch': '0.2156', 'train/total_time_seconds': '123.6', 'train/time_per_step_avg': '0.3337', 'train/epoch_time_elapsed': '274.8', 'train/estimated_remaining_minutes': '3.091'}
|
| 37 |
+
- 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
|
| 38 |
+
- 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).
|
| 39 |
+
- If you are not the owner of the model architecture class, please contact the model code owner to update it.
|
| 40 |
+
Writing model shards: 100%|██████████| 1/1 [00:00<00:00, 164.59it/s]
|
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49%|████▉ | 493/1000 [05:39<06:06, 1.38it/s]?, ?it/s]
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{'loss': '2.691', 'grad_norm': '0.7578', 'learning_rate': '0.001', 'epoch': '0.2264', 'train/total_time_seconds': '130.1', 'train/time_per_step_avg': '0.3322', 'train/epoch_time_elapsed': '288.8', 'train/estimated_remaining_minutes': '2.994'}
|
| 43 |
+
{'loss': '2.668', 'grad_norm': '0.6133', 'learning_rate': '0.001', 'epoch': '0.2372', 'train/total_time_seconds': '136.4', 'train/time_per_step_avg': '0.333', 'train/epoch_time_elapsed': '302.7', 'train/estimated_remaining_minutes': '2.894'}
|
| 44 |
+
{'loss': '2.632', 'grad_norm': '0.7461', 'learning_rate': '0.001', 'epoch': '0.248', 'train/total_time_seconds': '142.8', 'train/time_per_step_avg': '0.3306', 'train/epoch_time_elapsed': '316.7', 'train/estimated_remaining_minutes': '2.794'}
|
| 45 |
+
{'loss': '2.6', 'grad_norm': '0.6758', 'learning_rate': '0.001', 'epoch': '0.2588', 'train/total_time_seconds': '149.2', 'train/time_per_step_avg': '0.3248', 'train/epoch_time_elapsed': '330.5', 'train/estimated_remaining_minutes': '2.693'}
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zain/Activation/wandb/run-20260814_211407-i85cngas/logs/debug-internal.log
CHANGED
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{"time":"2026-08-14T21:14:23.78531736Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:14:38.67602145Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":1,"history_lines":1,"events_offset":1,"events_lines":2,"console_offset":0,"console_lines":1}
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{"time":"2026-08-14T21:14:39.034739883Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:14:23.78531736Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:14:38.67602145Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":1,"history_lines":1,"events_offset":1,"events_lines":2,"console_offset":0,"console_lines":1}
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{"time":"2026-08-14T21:14:39.034739883Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:14:53.675822723Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":2,"history_lines":1,"events_offset":3,"events_lines":2,"console_offset":0,"console_lines":1}
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{"time":"2026-08-14T21:14:53.807395658Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:15:08.675941416Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":3,"history_lines":1,"events_offset":5,"events_lines":2,"console_offset":0,"console_lines":1}
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{"time":"2026-08-14T21:15:08.796615184Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:15:23.67592928Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":4,"history_lines":1,"events_offset":7,"events_lines":2,"console_offset":0,"console_lines":1}
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{"time":"2026-08-14T21:15:23.823808371Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:15:38.676060528Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":5,"history_lines":1,"events_offset":9,"events_lines":2,"console_offset":2,"console_lines":10}
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{"time":"2026-08-14T21:15:38.800433515Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:15:53.676379163Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":6,"history_lines":1,"events_offset":11,"events_lines":2,"console_offset":10,"console_lines":1}
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{"time":"2026-08-14T21:15:53.864573795Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:16:08.676451313Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":7,"history_lines":2,"events_offset":13,"events_lines":2,"console_offset":10,"console_lines":1}
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{"time":"2026-08-14T21:16:08.846470743Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:16:23.676410533Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":9,"history_lines":1,"events_offset":15,"events_lines":2,"console_offset":10,"console_lines":1}
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{"time":"2026-08-14T21:16:23.824402577Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:16:38.676105689Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":10,"history_lines":1,"events_offset":17,"events_lines":2,"console_offset":12,"console_lines":10}
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{"time":"2026-08-14T21:16:38.797045956Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:16:53.675927055Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":11,"history_lines":1,"events_offset":19,"events_lines":2,"console_offset":20,"console_lines":1}
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{"time":"2026-08-14T21:16:53.988742485Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:17:08.67565261Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":12,"history_lines":1,"events_offset":21,"events_lines":2,"console_offset":20,"console_lines":1}
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{"time":"2026-08-14T21:17:08.864252802Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:17:23.676114146Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":13,"history_lines":1,"events_offset":23,"events_lines":2,"console_offset":20,"console_lines":1}
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{"time":"2026-08-14T21:17:23.795170156Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:17:38.675750893Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":14,"history_lines":1,"events_offset":25,"events_lines":2,"console_offset":20,"console_lines":1}
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{"time":"2026-08-14T21:17:38.802369133Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:17:53.676337561Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":15,"history_lines":1,"events_offset":27,"events_lines":2,"console_offset":22,"console_lines":10}
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{"time":"2026-08-14T21:17:53.805970984Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:18:08.675591884Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":16,"history_lines":1,"events_offset":29,"events_lines":2,"console_offset":30,"console_lines":1}
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{"time":"2026-08-14T21:18:08.820307105Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:18:23.675794412Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":17,"history_lines":1,"events_offset":31,"events_lines":2,"console_offset":30,"console_lines":1}
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{"time":"2026-08-14T21:18:23.797813599Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:18:38.67592157Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":18,"history_lines":1,"events_offset":33,"events_lines":2,"console_offset":30,"console_lines":1}
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{"time":"2026-08-14T21:18:38.803567824Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:18:53.675427349Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":19,"history_lines":1,"events_offset":35,"events_lines":2,"console_offset":30,"console_lines":1}
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{"time":"2026-08-14T21:18:53.788763708Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:19:08.675868235Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":20,"history_lines":1,"events_offset":37,"events_lines":2,"console_offset":32,"console_lines":10}
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{"time":"2026-08-14T21:19:08.789887478Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:19:23.67545652Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":21,"history_lines":1,"events_offset":39,"events_lines":2,"console_offset":40,"console_lines":1}
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{"time":"2026-08-14T21:19:23.817761924Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-14T21:19:38.676157583Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":22,"history_lines":1,"events_offset":41,"events_lines":2,"console_offset":40,"console_lines":1}
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{"time":"2026-08-14T21:19:38.796224235Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
zain/Activation/wandb/run-20260814_211407-i85cngas/run-i85cngas.wandb
CHANGED
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Binary files a/zain/Activation/wandb/run-20260814_211407-i85cngas/run-i85cngas.wandb and b/zain/Activation/wandb/run-20260814_211407-i85cngas/run-i85cngas.wandb differ
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zain/Activation/wandb/run-20260814_211507-54wnyexz/files/output.log
ADDED
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[Override] Activated with value = -10.0
|
| 2 |
+
74%|███████▍ | 2600/3500 [00:37<00:39, 22.64it/s][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.
|
| 3 |
+
{'loss': '2.273', 'grad_norm': '2.11e+07', 'learning_rate': '3.42e-05', 'epoch': '0.1699', 'train/total_time_seconds': '7.155', 'train/time_per_step_avg': '0.3578', 'train/epoch_time_elapsed': '8.346', 'train/estimated_remaining_minutes': '0.04638', 'train/tensor_act_model_layers_0_residual_pre_attn/norm': '187.6', 'train/tensor_act_model_layers_0_residual_pre_attn/mean': '0.001129', 'train/tensor_act_model_layers_0_residual_pre_attn/std': '0.0918', 'train/tensor_act_model_layers_0_residual_pre_attn/max_abs': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/min': '-0.2656', 'train/tensor_act_model_layers_0_residual_pre_attn/max': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/range': '0.5488', 'train/tensor_act_model_layers_0_residual_post_attn/norm': '190.5', 'train/tensor_act_model_layers_0_residual_post_attn/mean': '0.001122', 'train/tensor_act_model_layers_0_residual_post_attn/std': '0.09277', 'train/tensor_act_model_layers_0_residual_post_attn/max_abs': '0.459', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/min': '-0.4258', 'train/tensor_act_model_layers_0_residual_post_attn/max': '0.459', 'train/tensor_act_model_layers_0_residual_post_attn/range': '0.8848', 'train/tensor_act_model_layers_0_mlp_gate_proj/norm': '2591', 'train/tensor_act_model_layers_0_mlp_gate_proj/mean': '-0.1885', 'train/tensor_act_model_layers_0_mlp_gate_proj/std': '0.875', 'train/tensor_act_model_layers_0_mlp_gate_proj/max_abs': '4.594', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/min': '-4.031', 'train/tensor_act_model_layers_0_mlp_gate_proj/max': '4.594', 'train/tensor_act_model_layers_0_mlp_gate_proj/range': '8.625', 'train/tensor_act_model_layers_0_mlp_up_proj/norm': '757.3', 'train/tensor_act_model_layers_0_mlp_up_proj/mean': '0.0003414', 'train/tensor_act_model_layers_0_mlp_up_proj/std': '0.2617', 'train/tensor_act_model_layers_0_mlp_up_proj/max_abs': '1.375', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/min': '-1.375', 'train/tensor_act_model_layers_0_mlp_up_proj/max': '1.367', 'train/tensor_act_model_layers_0_mlp_up_proj/range': '2.742', 'train/tensor_act_model_layers_0_mlp_down_proj/norm': '197', 'train/tensor_act_model_layers_0_mlp_down_proj/mean': '0.0005646', 'train/tensor_act_model_layers_0_mlp_down_proj/std': '0.09619', 'train/tensor_act_model_layers_0_mlp_down_proj/max_abs': '0.6289', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/min': '-0.6289', 'train/tensor_act_model_layers_0_mlp_down_proj/max': '0.5898', 'train/tensor_act_model_layers_0_mlp_down_proj/range': '1.219', 'train/tensor_act_model_layers_0_mlp/norm': '197', 'train/tensor_act_model_layers_0_mlp/mean': '0.0005646', 'train/tensor_act_model_layers_0_mlp/std': '0.09619', 'train/tensor_act_model_layers_0_mlp/max_abs': '0.6289', 'train/tensor_act_model_layers_0_mlp/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp/min': '-0.6289', 'train/tensor_act_model_layers_0_mlp/max': '0.5898', 'train/tensor_act_model_layers_0_mlp/range': '1.219', 'train/tensor_act_model_layers_0_residual_post_mlp/norm': '287.1', 'train/tensor_act_model_layers_0_residual_post_mlp/mean': '0.001694', 'train/tensor_act_model_layers_0_residual_post_mlp/std': '0.1406', 'train/tensor_act_model_layers_0_residual_post_mlp/max_abs': '0.7383',
|
| 4 |
+
{'loss': '2.34', 'grad_norm': '3.67e+07', 'learning_rate': '7.02e-05', 'epoch': '0.1712', 'train/total_time_seconds': '13.29', 'train/time_per_step_avg': '0.3323', 'train/epoch_time_elapsed': '15.5', 'train/estimated_remaining_minutes': '0.08373'}
|
| 5 |
+
{'loss': '5.932', 'grad_norm': '1.326e+08', 'learning_rate': '9e-05', 'epoch': '0.1726', 'train/total_time_seconds': '19.63', 'train/time_per_step_avg': '0.3272', 'train/epoch_time_elapsed': '22.94', 'train/estimated_remaining_minutes': '0.1202', 'train/tensor_act_model_layers_0_residual_pre_attn/norm': '187.7', 'train/tensor_act_model_layers_0_residual_pre_attn/mean': '0.001091', 'train/tensor_act_model_layers_0_residual_pre_attn/std': '0.0918', 'train/tensor_act_model_layers_0_residual_pre_attn/max_abs': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/min': '-0.2793', 'train/tensor_act_model_layers_0_residual_pre_attn/max': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/range': '0.5625', 'train/tensor_act_model_layers_0_residual_post_attn/norm': '190.4', 'train/tensor_act_model_layers_0_residual_post_attn/mean': '0.001183', 'train/tensor_act_model_layers_0_residual_post_attn/std': '0.09277', 'train/tensor_act_model_layers_0_residual_post_attn/max_abs': '0.4648', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/min': '-0.4258', 'train/tensor_act_model_layers_0_residual_post_attn/max': '0.4648', 'train/tensor_act_model_layers_0_residual_post_attn/range': '0.8906', 'train/tensor_act_model_layers_0_mlp_gate_proj/norm': '2584', 'train/tensor_act_model_layers_0_mlp_gate_proj/mean': '-0.1758', 'train/tensor_act_model_layers_0_mlp_gate_proj/std': '0.875', 'train/tensor_act_model_layers_0_mlp_gate_proj/max_abs': '4.406', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/min': '-4.094', 'train/tensor_act_model_layers_0_mlp_gate_proj/max': '4.406', 'train/tensor_act_model_layers_0_mlp_gate_proj/range': '8.5', 'train/tensor_act_model_layers_0_mlp_up_proj/norm': '780.5', 'train/tensor_act_model_layers_0_mlp_up_proj/mean': '-0.0003738', 'train/tensor_act_model_layers_0_mlp_up_proj/std': '0.2695', 'train/tensor_act_model_layers_0_mlp_up_proj/max_abs': '1.398', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/min': '-1.398', 'train/tensor_act_model_layers_0_mlp_up_proj/max': '1.375', 'train/tensor_act_model_layers_0_mlp_up_proj/range': '2.773', 'train/tensor_act_model_layers_0_mlp_down_proj/norm': '203.4', 'train/tensor_act_model_layers_0_mlp_down_proj/mean': '0.01099', 'train/tensor_act_model_layers_0_mlp_down_proj/std': '0.09863', 'train/tensor_act_model_layers_0_mlp_down_proj/max_abs': '0.6758', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/min': '-0.6758', 'train/tensor_act_model_layers_0_mlp_down_proj/max': '0.6328', 'train/tensor_act_model_layers_0_mlp_down_proj/range': '1.309', 'train/tensor_act_model_layers_0_mlp/norm': '203.4', 'train/tensor_act_model_layers_0_mlp/mean': '0.01099', 'train/tensor_act_model_layers_0_mlp/std': '0.09863', 'train/tensor_act_model_layers_0_mlp/max_abs': '0.6758', 'train/tensor_act_model_layers_0_mlp/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp/min': '-0.6758', 'train/tensor_act_model_layers_0_mlp/max': '0.6328', 'train/tensor_act_model_layers_0_mlp/range': '1.309', 'train/tensor_act_model_layers_0_residual_post_mlp/norm': '292.8', 'train/tensor_act_model_layers_0_residual_post_mlp/mean': '0.01215', 'train/tensor_act_model_layers_0_residual_post_mlp/std': '0.1426', 'train/tensor_act_model_layers_0_residual_post_mlp/max_abs': '0.7422', 't
|
| 6 |
+
{'loss': '7.863', 'grad_norm': '2.349e+08', 'learning_rate': '9e-05', 'epoch': '0.1739', 'train/total_time_seconds': '25.74', 'train/time_per_step_avg': '0.3217', 'train/epoch_time_elapsed': '30.09', 'train/estimated_remaining_minutes': '0.153'}
|
| 7 |
+
{'loss': '8.117', 'grad_norm': '3.544e+08', 'learning_rate': '9e-05', 'epoch': '0.1753', 'train/total_time_seconds': '31.87', 'train/time_per_step_avg': '0.3187', 'train/epoch_time_elapsed': '37.23', 'train/estimated_remaining_minutes': '0.1839'}
|
| 8 |
+
- 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
|
| 9 |
+
- 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).
|
| 10 |
+
- If you are not the owner of the model architecture class, please contact the model code owner to update it.
|
| 11 |
+
Writing model shards: 100%|██████████| 1/1 [00:00<00:00, 14.22it/s]
|
| 12 |
+
77%|███████▋ | 2700/3500 [01:13<04:29, 2.97it/s][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.
|
| 13 |
+
{'loss': '8.233', 'grad_norm': '4.823e+08', 'learning_rate': '9e-05', 'epoch': '0.1766', 'train/total_time_seconds': '38.22', 'train/time_per_step_avg': '0.3106', 'train/epoch_time_elapsed': '44.91', 'train/estimated_remaining_minutes': '0.2139', 'train/tensor_act_model_layers_0_residual_pre_attn/norm': '187.6', 'train/tensor_act_model_layers_0_residual_pre_attn/mean': '0.001053', 'train/tensor_act_model_layers_0_residual_pre_attn/std': '0.0918', 'train/tensor_act_model_layers_0_residual_pre_attn/max_abs': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/min': '-0.2793', 'train/tensor_act_model_layers_0_residual_pre_attn/max': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/range': '0.5625', 'train/tensor_act_model_layers_0_residual_post_attn/norm': '190.5', 'train/tensor_act_model_layers_0_residual_post_attn/mean': '0.001129', 'train/tensor_act_model_layers_0_residual_post_attn/std': '0.09277', 'train/tensor_act_model_layers_0_residual_post_attn/max_abs': '0.4258', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/min': '-0.4258', 'train/tensor_act_model_layers_0_residual_post_attn/max': '0.3945', 'train/tensor_act_model_layers_0_residual_post_attn/range': '0.8203', 'train/tensor_act_model_layers_0_mlp_gate_proj/norm': '2607', 'train/tensor_act_model_layers_0_mlp_gate_proj/mean': '-0.1621', 'train/tensor_act_model_layers_0_mlp_gate_proj/std': '0.8867', 'train/tensor_act_model_layers_0_mlp_gate_proj/max_abs': '4.844', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/min': '-3.984', 'train/tensor_act_model_layers_0_mlp_gate_proj/max': '4.844', 'train/tensor_act_model_layers_0_mlp_gate_proj/range': '8.828', 'train/tensor_act_model_layers_0_mlp_up_proj/norm': '841.2', 'train/tensor_act_model_layers_0_mlp_up_proj/mean': '-0.0009842', 'train/tensor_act_model_layers_0_mlp_up_proj/std': '0.291', 'train/tensor_act_model_layers_0_mlp_up_proj/max_abs': '1.43', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/min': '-1.43', 'train/tensor_act_model_layers_0_mlp_up_proj/max': '1.422', 'train/tensor_act_model_layers_0_mlp_up_proj/range': '2.852', 'train/tensor_act_model_layers_0_mlp_down_proj/norm': '229.8', 'train/tensor_act_model_layers_0_mlp_down_proj/mean': '0.02795', 'train/tensor_act_model_layers_0_mlp_down_proj/std': '0.1089', 'train/tensor_act_model_layers_0_mlp_down_proj/max_abs': '0.6953', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/min': '-0.6953', 'train/tensor_act_model_layers_0_mlp_down_proj/max': '0.5586', 'train/tensor_act_model_layers_0_mlp_down_proj/range': '1.254', 'train/tensor_act_model_layers_0_mlp/norm': '229.8', 'train/tensor_act_model_layers_0_mlp/mean': '0.02795', 'train/tensor_act_model_layers_0_mlp/std': '0.1089', 'train/tensor_act_model_layers_0_mlp/max_abs': '0.6953', 'train/tensor_act_model_layers_0_mlp/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp/min': '-0.6953', 'train/tensor_act_model_layers_0_mlp/max': '0.5586', 'train/tensor_act_model_layers_0_mlp/range': '1.254', 'train/tensor_act_model_layers_0_residual_post_mlp/norm': '312.4', 'train/tensor_act_model_layers_0_residual_post_mlp/mean': '0.02905', 'train/tensor_act_model_layers_0_residual_post_mlp/std': '0.1494', 'train/tensor_act_model_layers_0_residual_post_mlp/max_abs': '0.7422', 'tra
|
| 14 |
+
{'loss': '8.297', 'grad_norm': '6.082e+08', 'learning_rate': '9e-05', 'epoch': '0.178', 'train/total_time_seconds': '44.21', 'train/time_per_step_avg': '0.3092', 'train/epoch_time_elapsed': '51.93', 'train/estimated_remaining_minutes': '0.24'}
|
| 15 |
+
{'loss': '8.347', 'grad_norm': '7.256e+08', 'learning_rate': '9e-05', 'epoch': '0.1793', 'train/total_time_seconds': '50.67', 'train/time_per_step_avg': '0.3104', 'train/epoch_time_elapsed': '59.5', 'train/estimated_remaining_minutes': '0.2667', 'train/tensor_act_model_layers_0_residual_pre_attn/norm': '188.1', 'train/tensor_act_model_layers_0_residual_pre_attn/mean': '0.001144', 'train/tensor_act_model_layers_0_residual_pre_attn/std': '0.0918', 'train/tensor_act_model_layers_0_residual_pre_attn/max_abs': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/min': '-0.2793', 'train/tensor_act_model_layers_0_residual_pre_attn/max': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/range': '0.5625', 'train/tensor_act_model_layers_0_residual_post_attn/norm': '190.9', 'train/tensor_act_model_layers_0_residual_post_attn/mean': '0.001152', 'train/tensor_act_model_layers_0_residual_post_attn/std': '0.09326', 'train/tensor_act_model_layers_0_residual_post_attn/max_abs': '0.4258', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/min': '-0.4258', 'train/tensor_act_model_layers_0_residual_post_attn/max': '0.4023', 'train/tensor_act_model_layers_0_residual_post_attn/range': '0.8281', 'train/tensor_act_model_layers_0_mlp_gate_proj/norm': '2621', 'train/tensor_act_model_layers_0_mlp_gate_proj/mean': '-0.1504', 'train/tensor_act_model_layers_0_mlp_gate_proj/std': '0.8906', 'train/tensor_act_model_layers_0_mlp_gate_proj/max_abs': '4.812', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/min': '-4', 'train/tensor_act_model_layers_0_mlp_gate_proj/max': '4.812', 'train/tensor_act_model_layers_0_mlp_gate_proj/range': '8.812', 'train/tensor_act_model_layers_0_mlp_up_proj/norm': '899.6', 'train/tensor_act_model_layers_0_mlp_up_proj/mean': '-0.000267', 'train/tensor_act_model_layers_0_mlp_up_proj/std': '0.3105', 'train/tensor_act_model_layers_0_mlp_up_proj/max_abs': '1.719', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/min': '-1.641', 'train/tensor_act_model_layers_0_mlp_up_proj/max': '1.719', 'train/tensor_act_model_layers_0_mlp_up_proj/range': '3.359', 'train/tensor_act_model_layers_0_mlp_down_proj/norm': '267.3', 'train/tensor_act_model_layers_0_mlp_down_proj/mean': '0.04395', 'train/tensor_act_model_layers_0_mlp_down_proj/std': '0.123', 'train/tensor_act_model_layers_0_mlp_down_proj/max_abs': '0.6836', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/min': '-0.6836', 'train/tensor_act_model_layers_0_mlp_down_proj/max': '0.582', 'train/tensor_act_model_layers_0_mlp_down_proj/range': '1.266', 'train/tensor_act_model_layers_0_mlp/norm': '267.3', 'train/tensor_act_model_layers_0_mlp/mean': '0.04395', 'train/tensor_act_model_layers_0_mlp/std': '0.123', 'train/tensor_act_model_layers_0_mlp/max_abs': '0.6836', 'train/tensor_act_model_layers_0_mlp/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp/min': '-0.6836', 'train/tensor_act_model_layers_0_mlp/max': '0.582', 'train/tensor_act_model_layers_0_mlp/range': '1.266', 'train/tensor_act_model_layers_0_residual_post_mlp/norm': '341.9', 'train/tensor_act_model_layers_0_residual_post_mlp/mean': '0.04492', 'train/tensor_act_model_layers_0_residual_post_mlp/std': '0.1611', 'train/tensor_act_model_layers_0_residual_post_mlp/max_abs': '0.7539', 'train/tens
|
| 16 |
+
{'loss': '8.382', 'grad_norm': '8.347e+08', 'learning_rate': '9e-05', 'epoch': '0.1807', 'train/total_time_seconds': '56.64', 'train/time_per_step_avg': '0.309', 'train/epoch_time_elapsed': '66.53', 'train/estimated_remaining_minutes': '0.2888'}
|
| 17 |
+
{'loss': '8.44', 'grad_norm': '9.311e+08', 'learning_rate': '9e-05', 'epoch': '0.182', 'train/total_time_seconds': '62.96', 'train/time_per_step_avg': '0.3109', 'train/epoch_time_elapsed': '73.86', 'train/estimated_remaining_minutes': '0.3109'}
|
| 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 |
+
- 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).
|
| 20 |
+
- If you are not the owner of the model architecture class, please contact the model code owner to update it.
|
| 21 |
+
Writing model shards: 100%|██████████| 1/1 [00:00<00:00, 17.04it/s]
|
| 22 |
+
80%|████████ | 2800/3500 [01:50<03:46, 3.09it/s][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.
|
| 23 |
+
{'loss': '8.472', 'grad_norm': '1.04e+09', 'learning_rate': '9e-05', 'epoch': '0.1834', 'train/total_time_seconds': '70.05', 'train/time_per_step_avg': '0.3183', 'train/epoch_time_elapsed': '82.22', 'train/estimated_remaining_minutes': '0.3348', 'train/tensor_act_model_layers_0_residual_pre_attn/norm': '187.9', 'train/tensor_act_model_layers_0_residual_pre_attn/mean': '0.001205', 'train/tensor_act_model_layers_0_residual_pre_attn/std': '0.0918', 'train/tensor_act_model_layers_0_residual_pre_attn/max_abs': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/min': '-0.2793', 'train/tensor_act_model_layers_0_residual_pre_attn/max': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/range': '0.5625', 'train/tensor_act_model_layers_0_residual_post_attn/norm': '190.6', 'train/tensor_act_model_layers_0_residual_post_attn/mean': '0.001236', 'train/tensor_act_model_layers_0_residual_post_attn/std': '0.09326', 'train/tensor_act_model_layers_0_residual_post_attn/max_abs': '0.457', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/min': '-0.4258', 'train/tensor_act_model_layers_0_residual_post_attn/max': '0.457', 'train/tensor_act_model_layers_0_residual_post_attn/range': '0.8828', 'train/tensor_act_model_layers_0_mlp_gate_proj/norm': '2647', 'train/tensor_act_model_layers_0_mlp_gate_proj/mean': '-0.1396', 'train/tensor_act_model_layers_0_mlp_gate_proj/std': '0.9023', 'train/tensor_act_model_layers_0_mlp_gate_proj/max_abs': '4.5', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/min': '-3.984', 'train/tensor_act_model_layers_0_mlp_gate_proj/max': '4.5', 'train/tensor_act_model_layers_0_mlp_gate_proj/range': '8.484', 'train/tensor_act_model_layers_0_mlp_up_proj/norm': '969.8', 'train/tensor_act_model_layers_0_mlp_up_proj/mean': '0.0004234', 'train/tensor_act_model_layers_0_mlp_up_proj/std': '0.334', 'train/tensor_act_model_layers_0_mlp_up_proj/max_abs': '2.281', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/min': '-2.25', 'train/tensor_act_model_layers_0_mlp_up_proj/max': '2.281', 'train/tensor_act_model_layers_0_mlp_up_proj/range': '4.531', 'train/tensor_act_model_layers_0_mlp_down_proj/norm': '332.1', 'train/tensor_act_model_layers_0_mlp_down_proj/mean': '0.06543', 'train/tensor_act_model_layers_0_mlp_down_proj/std': '0.1484', 'train/tensor_act_model_layers_0_mlp_down_proj/max_abs': '0.6953', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/min': '-0.6953', 'train/tensor_act_model_layers_0_mlp_down_proj/max': '0.5938', 'train/tensor_act_model_layers_0_mlp_down_proj/range': '1.289', 'train/tensor_act_model_layers_0_mlp/norm': '332.1', 'train/tensor_act_model_layers_0_mlp/mean': '0.06543', 'train/tensor_act_model_layers_0_mlp/std': '0.1484', 'train/tensor_act_model_layers_0_mlp/max_abs': '0.6953', 'train/tensor_act_model_layers_0_mlp/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp/min': '-0.6953', 'train/tensor_act_model_layers_0_mlp/max': '0.5938', 'train/tensor_act_model_layers_0_mlp/range': '1.289', 'train/tensor_act_model_layers_0_residual_post_mlp/norm': '395.3', 'train/tensor_act_model_layers_0_residual_post_mlp/mean': '0.06689', 'train/tensor_act_model_layers_0_residual_post_mlp/std': '0.1807', 'train/tensor_act_model_layers_0_residual_post_mlp/max_abs': '0.7891', 'train/tens
|
| 24 |
+
{'loss': '8.497', 'grad_norm': '1.132e+09', 'learning_rate': '9e-05', 'epoch': '0.1847', 'train/total_time_seconds': '76.2', 'train/time_per_step_avg': '0.3199', 'train/epoch_time_elapsed': '89.42', 'train/estimated_remaining_minutes': '0.3523'}
|
| 25 |
+
{'loss': '8.525', 'grad_norm': '1.208e+09', 'learning_rate': '9e-05', 'epoch': '0.186', 'train/total_time_seconds': '82.59', 'train/time_per_step_avg': '0.3191', 'train/epoch_time_elapsed': '96.95', 'train/estimated_remaining_minutes': '0.369', 'train/tensor_act_model_layers_0_residual_pre_attn/norm': '188', 'train/tensor_act_model_layers_0_residual_pre_attn/mean': '0.001038', 'train/tensor_act_model_layers_0_residual_pre_attn/std': '0.0918', 'train/tensor_act_model_layers_0_residual_pre_attn/max_abs': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/min': '-0.2793', 'train/tensor_act_model_layers_0_residual_pre_attn/max': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/range': '0.5625', 'train/tensor_act_model_layers_0_residual_post_attn/norm': '190.8', 'train/tensor_act_model_layers_0_residual_post_attn/mean': '0.001137', 'train/tensor_act_model_layers_0_residual_post_attn/std': '0.09326', 'train/tensor_act_model_layers_0_residual_post_attn/max_abs': '0.4258', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/min': '-0.4258', 'train/tensor_act_model_layers_0_residual_post_attn/max': '0.4219', 'train/tensor_act_model_layers_0_residual_post_attn/range': '0.8477', 'train/tensor_act_model_layers_0_mlp_gate_proj/norm': '2677', 'train/tensor_act_model_layers_0_mlp_gate_proj/mean': '-0.1279', 'train/tensor_act_model_layers_0_mlp_gate_proj/std': '0.9141', 'train/tensor_act_model_layers_0_mlp_gate_proj/max_abs': '4.438', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/min': '-4.031', 'train/tensor_act_model_layers_0_mlp_gate_proj/max': '4.438', 'train/tensor_act_model_layers_0_mlp_gate_proj/range': '8.469', 'train/tensor_act_model_layers_0_mlp_up_proj/norm': '1056', 'train/tensor_act_model_layers_0_mlp_up_proj/mean': '0.0005379', 'train/tensor_act_model_layers_0_mlp_up_proj/std': '0.3652', 'train/tensor_act_model_layers_0_mlp_up_proj/max_abs': '2.922', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/min': '-2.734', 'train/tensor_act_model_layers_0_mlp_up_proj/max': '2.922', 'train/tensor_act_model_layers_0_mlp_up_proj/range': '5.656', 'train/tensor_act_model_layers_0_mlp_down_proj/norm': '443.7', 'train/tensor_act_model_layers_0_mlp_down_proj/mean': '0.1006', 'train/tensor_act_model_layers_0_mlp_down_proj/std': '0.1924', 'train/tensor_act_model_layers_0_mlp_down_proj/max_abs': '0.8203', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/min': '-0.7188', 'train/tensor_act_model_layers_0_mlp_down_proj/max': '0.8203', 'train/tensor_act_model_layers_0_mlp_down_proj/range': '1.539', 'train/tensor_act_model_layers_0_mlp/norm': '443.7', 'train/tensor_act_model_layers_0_mlp/mean': '0.1006', 'train/tensor_act_model_layers_0_mlp/std': '0.1924', 'train/tensor_act_model_layers_0_mlp/max_abs': '0.8203', 'train/tensor_act_model_layers_0_mlp/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp/min': '-0.7188', 'train/tensor_act_model_layers_0_mlp/max': '0.8203', 'train/tensor_act_model_layers_0_mlp/range': '1.539', 'train/tensor_act_model_layers_0_residual_post_mlp/norm': '493.9', 'train/tensor_act_model_layers_0_residual_post_mlp/mean': '0.1016', 'train/tensor_act_model_layers_0_residual_post_mlp/std': '0.2188', 'train/tensor_act_model_layers_0_residual_post_mlp/max_abs': '0.9766', 'train/ten
|
| 26 |
+
{'loss': '8.553', 'grad_norm': '1.267e+09', 'learning_rate': '9e-05', 'epoch': '0.1874', 'train/total_time_seconds': '88.72', 'train/time_per_step_avg': '0.3209', 'train/epoch_time_elapsed': '104.2', 'train/estimated_remaining_minutes': '0.383'}
|
| 27 |
+
{'loss': '8.564', 'grad_norm': '1.351e+09', 'learning_rate': '9e-05', 'epoch': '0.1887', 'train/total_time_seconds': '94.48', 'train/time_per_step_avg': '0.3152', 'train/epoch_time_elapsed': '110.9', 'train/estimated_remaining_minutes': '0.3936'}
|
| 28 |
+
- 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
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| 29 |
+
- 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).
|
| 30 |
+
- If you are not the owner of the model architecture class, please contact the model code owner to update it.
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| 31 |
+
Writing model shards: 100%|██████████| 1/1 [00:00<00:00, 17.10it/s]
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| 32 |
+
83%|████████▎ | 2900/3500 [02:27<03:28, 2.88it/s][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.
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| 33 |
+
{'loss': '8.574', 'grad_norm': '1.443e+09', 'learning_rate': '9e-05', 'epoch': '0.1901', 'train/total_time_seconds': '101', 'train/time_per_step_avg': '0.3093', 'train/epoch_time_elapsed': '118.9', 'train/estimated_remaining_minutes': '0.4058', 'train/tensor_act_model_layers_0_residual_pre_attn/norm': '187.8', 'train/tensor_act_model_layers_0_residual_pre_attn/mean': '0.001137', 'train/tensor_act_model_layers_0_residual_pre_attn/std': '0.0918', 'train/tensor_act_model_layers_0_residual_pre_attn/max_abs': '0.2793', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/min': '-0.2793', 'train/tensor_act_model_layers_0_residual_pre_attn/max': '0.2754', 'train/tensor_act_model_layers_0_residual_pre_attn/range': '0.5547', 'train/tensor_act_model_layers_0_residual_post_attn/norm': '190.7', 'train/tensor_act_model_layers_0_residual_post_attn/mean': '0.001129', 'train/tensor_act_model_layers_0_residual_post_attn/std': '0.09326', 'train/tensor_act_model_layers_0_residual_post_attn/max_abs': '0.4258', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/min': '-0.4258', 'train/tensor_act_model_layers_0_residual_post_attn/max': '0.3867', 'train/tensor_act_model_layers_0_residual_post_attn/range': '0.8125', 'train/tensor_act_model_layers_0_mlp_gate_proj/norm': '2715', 'train/tensor_act_model_layers_0_mlp_gate_proj/mean': '-0.126', 'train/tensor_act_model_layers_0_mlp_gate_proj/std': '0.9297', 'train/tensor_act_model_layers_0_mlp_gate_proj/max_abs': '4.875', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/min': '-4.25', 'train/tensor_act_model_layers_0_mlp_gate_proj/max': '4.875', 'train/tensor_act_model_layers_0_mlp_gate_proj/range': '9.125', 'train/tensor_act_model_layers_0_mlp_up_proj/norm': '1166', 'train/tensor_act_model_layers_0_mlp_up_proj/mean': '0.00174', 'train/tensor_act_model_layers_0_mlp_up_proj/std': '0.4023', 'train/tensor_act_model_layers_0_mlp_up_proj/max_abs': '3.578', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/min': '-3.438', 'train/tensor_act_model_layers_0_mlp_up_proj/max': '3.578', 'train/tensor_act_model_layers_0_mlp_up_proj/range': '7.016', 'train/tensor_act_model_layers_0_mlp_down_proj/norm': '635.9', 'train/tensor_act_model_layers_0_mlp_down_proj/mean': '0.1602', 'train/tensor_act_model_layers_0_mlp_down_proj/std': '0.2656', 'train/tensor_act_model_layers_0_mlp_down_proj/max_abs': '1.188', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/min': '-0.7422', 'train/tensor_act_model_layers_0_mlp_down_proj/max': '1.188', 'train/tensor_act_model_layers_0_mlp_down_proj/range': '1.93', 'train/tensor_act_model_layers_0_mlp/norm': '635.9', 'train/tensor_act_model_layers_0_mlp/mean': '0.1602', 'train/tensor_act_model_layers_0_mlp/std': '0.2656', 'train/tensor_act_model_layers_0_mlp/max_abs': '1.188', 'train/tensor_act_model_layers_0_mlp/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp/min': '-0.7422', 'train/tensor_act_model_layers_0_mlp/max': '1.188', 'train/tensor_act_model_layers_0_mlp/range': '1.93', 'train/tensor_act_model_layers_0_residual_post_mlp/norm': '673.6', 'train/tensor_act_model_layers_0_residual_post_mlp/mean': '0.1611', 'train/tensor_act_model_layers_0_residual_post_mlp/std': '0.2871', 'train/tensor_act_model_layers_0_residual_post_mlp/max_abs': '1.305', 'train/tensor_act_m
|
| 34 |
+
{'loss': '8.589', 'grad_norm': '1.485e+09', 'learning_rate': '9e-05', 'epoch': '0.1914', 'train/total_time_seconds': '107.2', 'train/time_per_step_avg': '0.3096', 'train/epoch_time_elapsed': '126.2', 'train/estimated_remaining_minutes': '0.4151'}
|
| 35 |
+
{'loss': '8.59', 'grad_norm': '1.544e+09', 'learning_rate': '9e-05', 'epoch': '0.1928', 'train/total_time_seconds': '114.1', 'train/time_per_step_avg': '0.3148', 'train/epoch_time_elapsed': '134.2', 'train/estimated_remaining_minutes': '0.4254', 'train/tensor_act_model_layers_0_residual_pre_attn/norm': '188.2', 'train/tensor_act_model_layers_0_residual_pre_attn/mean': '0.001305', 'train/tensor_act_model_layers_0_residual_pre_attn/std': '0.0918', 'train/tensor_act_model_layers_0_residual_pre_attn/max_abs': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/min': '-0.2656', 'train/tensor_act_model_layers_0_residual_pre_attn/max': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/range': '0.5488', 'train/tensor_act_model_layers_0_residual_post_attn/norm': '191.1', 'train/tensor_act_model_layers_0_residual_post_attn/mean': '0.001266', 'train/tensor_act_model_layers_0_residual_post_attn/std': '0.09326', 'train/tensor_act_model_layers_0_residual_post_attn/max_abs': '0.4004', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/min': '-0.4004', 'train/tensor_act_model_layers_0_residual_post_attn/max': '0.3887', 'train/tensor_act_model_layers_0_residual_post_attn/range': '0.7891', 'train/tensor_act_model_layers_0_mlp_gate_proj/norm': '2748', 'train/tensor_act_model_layers_0_mlp_gate_proj/mean': '-0.1172', 'train/tensor_act_model_layers_0_mlp_gate_proj/std': '0.9414', 'train/tensor_act_model_layers_0_mlp_gate_proj/max_abs': '4.844', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/min': '-4.156', 'train/tensor_act_model_layers_0_mlp_gate_proj/max': '4.844', 'train/tensor_act_model_layers_0_mlp_gate_proj/range': '9', 'train/tensor_act_model_layers_0_mlp_up_proj/norm': '1282', 'train/tensor_act_model_layers_0_mlp_up_proj/mean': '0.003021', 'train/tensor_act_model_layers_0_mlp_up_proj/std': '0.4434', 'train/tensor_act_model_layers_0_mlp_up_proj/max_abs': '4.156', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/min': '-3.859', 'train/tensor_act_model_layers_0_mlp_up_proj/max': '4.156', 'train/tensor_act_model_layers_0_mlp_up_proj/range': '8.016', 'train/tensor_act_model_layers_0_mlp_down_proj/norm': '891.8', 'train/tensor_act_model_layers_0_mlp_down_proj/mean': '0.2363', 'train/tensor_act_model_layers_0_mlp_down_proj/std': '0.3652', 'train/tensor_act_model_layers_0_mlp_down_proj/max_abs': '1.641', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/min': '-0.7852', 'train/tensor_act_model_layers_0_mlp_down_proj/max': '1.641', 'train/tensor_act_model_layers_0_mlp_down_proj/range': '2.426', 'train/tensor_act_model_layers_0_mlp/norm': '891.8', 'train/tensor_act_model_layers_0_mlp/mean': '0.2363', 'train/tensor_act_model_layers_0_mlp/std': '0.3652', 'train/tensor_act_model_layers_0_mlp/max_abs': '1.641', 'train/tensor_act_model_layers_0_mlp/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp/min': '-0.7852', 'train/tensor_act_model_layers_0_mlp/max': '1.641', 'train/tensor_act_model_layers_0_mlp/range': '2.426', 'train/tensor_act_model_layers_0_residual_post_mlp/norm': '920.8', 'train/tensor_act_model_layers_0_residual_post_mlp/mean': '0.2373', 'train/tensor_act_model_layers_0_residual_post_mlp/std': '0.3809', 'train/tensor_act_model_layers_0_residual_post_mlp/max_abs': '1.695', 'train/tensor_act
|
| 36 |
+
{'loss': '8.597', 'grad_norm': '1.602e+09', 'learning_rate': '9e-05', 'epoch': '0.1941', 'train/total_time_seconds': '119.9', 'train/time_per_step_avg': '0.3118', 'train/epoch_time_elapsed': '141.1', 'train/estimated_remaining_minutes': '0.4302'}
|
| 37 |
+
{'loss': '8.607', 'grad_norm': '1.644e+09', 'learning_rate': '9e-05', 'epoch': '0.1955', 'train/total_time_seconds': '125.7', 'train/time_per_step_avg': '0.3125', 'train/epoch_time_elapsed': '147.9', 'train/estimated_remaining_minutes': '0.4335'}
|
| 38 |
+
- 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
|
| 39 |
+
- 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).
|
| 40 |
+
- If you are not the owner of the model architecture class, please contact the model code owner to update it.
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Writing model shards: 100%|██████████| 1/1 [00:00<00:00, 16.79it/s]
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86%|████████▌ | 3000/3500 [03:04<02:46, 3.01it/s][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.
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| 43 |
+
{'loss': '8.605', 'grad_norm': '1.703e+09', 'learning_rate': '9e-05', 'epoch': '0.1968', 'train/total_time_seconds': '132.5', 'train/time_per_step_avg': '0.3149', 'train/epoch_time_elapsed': '155.9', 'train/estimated_remaining_minutes': '0.4386', 'train/tensor_act_model_layers_0_residual_pre_attn/norm': '187.9', 'train/tensor_act_model_layers_0_residual_pre_attn/mean': '0.001228', 'train/tensor_act_model_layers_0_residual_pre_attn/std': '0.0918', 'train/tensor_act_model_layers_0_residual_pre_attn/max_abs': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/min': '-0.2793', 'train/tensor_act_model_layers_0_residual_pre_attn/max': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/range': '0.5625', 'train/tensor_act_model_layers_0_residual_post_attn/norm': '190.7', 'train/tensor_act_model_layers_0_residual_post_attn/mean': '0.001419', 'train/tensor_act_model_layers_0_residual_post_attn/std': '0.09326', 'train/tensor_act_model_layers_0_residual_post_attn/max_abs': '0.4258', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/min': '-0.4258', 'train/tensor_act_model_layers_0_residual_post_attn/max': '0.418', 'train/tensor_act_model_layers_0_residual_post_attn/range': '0.8438', 'train/tensor_act_model_layers_0_mlp_gate_proj/norm': '2795', 'train/tensor_act_model_layers_0_mlp_gate_proj/mean': '-0.1035', 'train/tensor_act_model_layers_0_mlp_gate_proj/std': '0.9609', 'train/tensor_act_model_layers_0_mlp_gate_proj/max_abs': '4.719', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/min': '-4.719', 'train/tensor_act_model_layers_0_mlp_gate_proj/max': '4.688', 'train/tensor_act_model_layers_0_mlp_gate_proj/range': '9.406', 'train/tensor_act_model_layers_0_mlp_up_proj/norm': '1418', 'train/tensor_act_model_layers_0_mlp_up_proj/mean': '0.002075', 'train/tensor_act_model_layers_0_mlp_up_proj/std': '0.4902', 'train/tensor_act_model_layers_0_mlp_up_proj/max_abs': '4.719', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/min': '-4.344', 'train/tensor_act_model_layers_0_mlp_up_proj/max': '4.719', 'train/tensor_act_model_layers_0_mlp_up_proj/range': '9.062', 'train/tensor_act_model_layers_0_mlp_down_proj/norm': '1195', 'train/tensor_act_model_layers_0_mlp_down_proj/mean': '0.3242', 'train/tensor_act_model_layers_0_mlp_down_proj/std': '0.4844', 'train/tensor_act_model_layers_0_mlp_down_proj/max_abs': '2.094', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/min': '-0.7695', 'train/tensor_act_model_layers_0_mlp_down_proj/max': '2.094', 'train/tensor_act_model_layers_0_mlp_down_proj/range': '2.863', 'train/tensor_act_model_layers_0_mlp/norm': '1195', 'train/tensor_act_model_layers_0_mlp/mean': '0.3242', 'train/tensor_act_model_layers_0_mlp/std': '0.4844', 'train/tensor_act_model_layers_0_mlp/max_abs': '2.094', 'train/tensor_act_model_layers_0_mlp/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp/min': '-0.7695', 'train/tensor_act_model_layers_0_mlp/max': '2.094', 'train/tensor_act_model_layers_0_mlp/range': '2.863', 'train/tensor_act_model_layers_0_residual_post_mlp/norm': '1219', 'train/tensor_act_model_layers_0_residual_post_mlp/mean': '0.3262', 'train/tensor_act_model_layers_0_residual_post_mlp/std': '0.498', 'train/tensor_act_model_layers_0_residual_post_mlp/max_abs': '2.141', 'train/tensor_act
|
| 44 |
+
{'loss': '8.618', 'grad_norm': '1.736e+09', 'learning_rate': '9e-05', 'epoch': '0.1982', 'train/total_time_seconds': '138.1', 'train/time_per_step_avg': '0.3098', 'train/epoch_time_elapsed': '162.6', 'train/estimated_remaining_minutes': '0.4386'}
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| 45 |
+
{'loss': '8.625', 'grad_norm': '1.778e+09', 'learning_rate': '9e-05', 'epoch': '0.1995', 'train/total_time_seconds': '144.8', 'train/time_per_step_avg': '0.3076', 'train/epoch_time_elapsed': '170.4', 'train/estimated_remaining_minutes': '0.4403', 'train/tensor_act_model_layers_0_residual_pre_attn/norm': '187.8', 'train/tensor_act_model_layers_0_residual_pre_attn/mean': '0.00116', 'train/tensor_act_model_layers_0_residual_pre_attn/std': '0.0918', 'train/tensor_act_model_layers_0_residual_pre_attn/max_abs': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/min': '-0.2793', 'train/tensor_act_model_layers_0_residual_pre_attn/max': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/range': '0.5625', 'train/tensor_act_model_layers_0_residual_post_attn/norm': '190.8', 'train/tensor_act_model_layers_0_residual_post_attn/mean': '0.001213', 'train/tensor_act_model_layers_0_residual_post_attn/std': '0.09326', 'train/tensor_act_model_layers_0_residual_post_attn/max_abs': '0.4258', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/min': '-0.4258', 'train/tensor_act_model_layers_0_residual_post_attn/max': '0.3926', 'train/tensor_act_model_layers_0_residual_post_attn/range': '0.8184', 'train/tensor_act_model_layers_0_mlp_gate_proj/norm': '2880', 'train/tensor_act_model_layers_0_mlp_gate_proj/mean': '-0.09277', 'train/tensor_act_model_layers_0_mlp_gate_proj/std': '0.9883', 'train/tensor_act_model_layers_0_mlp_gate_proj/max_abs': '5.25', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/min': '-5.25', 'train/tensor_act_model_layers_0_mlp_gate_proj/max': '4.844', 'train/tensor_act_model_layers_0_mlp_gate_proj/range': '10.09', 'train/tensor_act_model_layers_0_mlp_up_proj/norm': '1594', 'train/tensor_act_model_layers_0_mlp_up_proj/mean': '0.001572', 'train/tensor_act_model_layers_0_mlp_up_proj/std': '0.5508', 'train/tensor_act_model_layers_0_mlp_up_proj/max_abs': '5.156', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/min': '-5.031', 'train/tensor_act_model_layers_0_mlp_up_proj/max': '5.156', 'train/tensor_act_model_layers_0_mlp_up_proj/range': '10.19', 'train/tensor_act_model_layers_0_mlp_down_proj/norm': '1654', 'train/tensor_act_model_layers_0_mlp_down_proj/mean': '0.4648', 'train/tensor_act_model_layers_0_mlp_down_proj/std': '0.6602', 'train/tensor_act_model_layers_0_mlp_down_proj/max_abs': '2.703', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/min': '-0.793', 'train/tensor_act_model_layers_0_mlp_down_proj/max': '2.703', 'train/tensor_act_model_layers_0_mlp_down_proj/range': '3.496', 'train/tensor_act_model_layers_0_mlp/norm': '1654', 'train/tensor_act_model_layers_0_mlp/mean': '0.4648', 'train/tensor_act_model_layers_0_mlp/std': '0.6602', 'train/tensor_act_model_layers_0_mlp/max_abs': '2.703', 'train/tensor_act_model_layers_0_mlp/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp/min': '-0.793', 'train/tensor_act_model_layers_0_mlp/max': '2.703', 'train/tensor_act_model_layers_0_mlp/range': '3.496', 'train/tensor_act_model_layers_0_residual_post_mlp/norm': '1673', 'train/tensor_act_model_layers_0_residual_post_mlp/mean': '0.4648', 'train/tensor_act_model_layers_0_residual_post_mlp/std': '0.6719', 'train/tensor_act_model_layers_0_residual_post_mlp/max_abs': '2.75', 'train/tensor_act_mo
|
| 46 |
+
{'loss': '8.63', 'grad_norm': '1.812e+09', 'learning_rate': '9e-05', 'epoch': '0.2009', 'train/total_time_seconds': '150.6', 'train/time_per_step_avg': '0.3071', 'train/epoch_time_elapsed': '177.2', 'train/estimated_remaining_minutes': '0.438'}
|
| 47 |
+
{'loss': '8.634', 'grad_norm': '1.871e+09', 'learning_rate': '9e-05', 'epoch': '0.2022', 'train/total_time_seconds': '156.6', 'train/time_per_step_avg': '0.3082', 'train/epoch_time_elapsed': '184.2', 'train/estimated_remaining_minutes': '0.4349'}
|
| 48 |
+
- 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
|
| 49 |
+
- 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).
|
| 50 |
+
- If you are not the owner of the model architecture class, please contact the model code owner to update it.
|
| 51 |
+
Writing model shards: 100%|██████████| 1/1 [00:00<00:00, 18.00it/s]
|
| 52 |
+
89%|████████▊ | 3100/3500 [03:41<02:16, 2.93it/s][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.
|
| 53 |
+
{'loss': '8.635', 'grad_norm': '1.904e+09', 'learning_rate': '9e-05', 'epoch': '0.2036', 'train/total_time_seconds': '163.8', 'train/time_per_step_avg': '0.3128', 'train/epoch_time_elapsed': '192.7', 'train/estimated_remaining_minutes': '0.4338', 'train/tensor_act_model_layers_0_residual_pre_attn/norm': '187.9', 'train/tensor_act_model_layers_0_residual_pre_attn/mean': '0.001167', 'train/tensor_act_model_layers_0_residual_pre_attn/std': '0.0918', 'train/tensor_act_model_layers_0_residual_pre_attn/max_abs': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/min': '-0.2793', 'train/tensor_act_model_layers_0_residual_pre_attn/max': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/range': '0.5625', 'train/tensor_act_model_layers_0_residual_post_attn/norm': '190.8', 'train/tensor_act_model_layers_0_residual_post_attn/mean': '0.001152', 'train/tensor_act_model_layers_0_residual_post_attn/std': '0.09326', 'train/tensor_act_model_layers_0_residual_post_attn/max_abs': '0.4258', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/min': '-0.4258', 'train/tensor_act_model_layers_0_residual_post_attn/max': '0.418', 'train/tensor_act_model_layers_0_residual_post_attn/range': '0.8438', 'train/tensor_act_model_layers_0_mlp_gate_proj/norm': '2962', 'train/tensor_act_model_layers_0_mlp_gate_proj/mean': '-0.08008', 'train/tensor_act_model_layers_0_mlp_gate_proj/std': '1.023', 'train/tensor_act_model_layers_0_mlp_gate_proj/max_abs': '4.938', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/min': '-4.938', 'train/tensor_act_model_layers_0_mlp_gate_proj/max': '4.812', 'train/tensor_act_model_layers_0_mlp_gate_proj/range': '9.75', 'train/tensor_act_model_layers_0_mlp_up_proj/norm': '1790', 'train/tensor_act_model_layers_0_mlp_up_proj/mean': '0.000843', 'train/tensor_act_model_layers_0_mlp_up_proj/std': '0.6172', 'train/tensor_act_model_layers_0_mlp_up_proj/max_abs': '5.5', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/min': '-5.188', 'train/tensor_act_model_layers_0_mlp_up_proj/max': '5.5', 'train/tensor_act_model_layers_0_mlp_up_proj/range': '10.69', 'train/tensor_act_model_layers_0_mlp_down_proj/norm': '2286', 'train/tensor_act_model_layers_0_mlp_down_proj/mean': '0.6484', 'train/tensor_act_model_layers_0_mlp_down_proj/std': '0.9102', 'train/tensor_act_model_layers_0_mlp_down_proj/max_abs': '3.562', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/min': '-0.9023', 'train/tensor_act_model_layers_0_mlp_down_proj/max': '3.562', 'train/tensor_act_model_layers_0_mlp_down_proj/range': '4.465', 'train/tensor_act_model_layers_0_mlp/norm': '2286', 'train/tensor_act_model_layers_0_mlp/mean': '0.6484', 'train/tensor_act_model_layers_0_mlp/std': '0.9102', 'train/tensor_act_model_layers_0_mlp/max_abs': '3.562', 'train/tensor_act_model_layers_0_mlp/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp/min': '-0.9023', 'train/tensor_act_model_layers_0_mlp/max': '3.562', 'train/tensor_act_model_layers_0_mlp/range': '4.465', 'train/tensor_act_model_layers_0_residual_post_mlp/norm': '2302', 'train/tensor_act_model_layers_0_residual_post_mlp/mean': '0.6484', 'train/tensor_act_model_layers_0_residual_post_mlp/std': '0.918', 'train/tensor_act_model_layers_0_residual_post_mlp/max_abs': '3.609', 'train/tensor_act_mode
|
| 54 |
+
{'loss': '8.64', 'grad_norm': '1.913e+09', 'learning_rate': '9e-05', 'epoch': '0.2049', 'train/total_time_seconds': '169.7', 'train/time_per_step_avg': '0.3157', 'train/epoch_time_elapsed': '199.7', 'train/estimated_remaining_minutes': '0.428'}
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| 55 |
+
{'loss': '8.641', 'grad_norm': '1.929e+09', 'learning_rate': '9e-05', 'epoch': '0.2063', 'train/total_time_seconds': '176.3', 'train/time_per_step_avg': '0.3147', 'train/epoch_time_elapsed': '207.4', 'train/estimated_remaining_minutes': '0.4225', 'train/tensor_act_model_layers_0_residual_pre_attn/norm': '187.7', 'train/tensor_act_model_layers_0_residual_pre_attn/mean': '0.001274', 'train/tensor_act_model_layers_0_residual_pre_attn/std': '0.0918', 'train/tensor_act_model_layers_0_residual_pre_attn/max_abs': '0.2793', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/min': '-0.2793', 'train/tensor_act_model_layers_0_residual_pre_attn/max': '0.2754', 'train/tensor_act_model_layers_0_residual_pre_attn/range': '0.5547', 'train/tensor_act_model_layers_0_residual_post_attn/norm': '190.6', 'train/tensor_act_model_layers_0_residual_post_attn/mean': '0.001251', 'train/tensor_act_model_layers_0_residual_post_attn/std': '0.09326', 'train/tensor_act_model_layers_0_residual_post_attn/max_abs': '0.4316', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/min': '-0.4316', 'train/tensor_act_model_layers_0_residual_post_attn/max': '0.3926', 'train/tensor_act_model_layers_0_residual_post_attn/range': '0.8242', 'train/tensor_act_model_layers_0_mlp_gate_proj/norm': '3076', 'train/tensor_act_model_layers_0_mlp_gate_proj/mean': '-0.07324', 'train/tensor_act_model_layers_0_mlp_gate_proj/std': '1.062', 'train/tensor_act_model_layers_0_mlp_gate_proj/max_abs': '5.062', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/min': '-5.062', 'train/tensor_act_model_layers_0_mlp_gate_proj/max': '4.812', 'train/tensor_act_model_layers_0_mlp_gate_proj/range': '9.875', 'train/tensor_act_model_layers_0_mlp_up_proj/norm': '1999', 'train/tensor_act_model_layers_0_mlp_up_proj/mean': '-0.0003624', 'train/tensor_act_model_layers_0_mlp_up_proj/std': '0.6914', 'train/tensor_act_model_layers_0_mlp_up_proj/max_abs': '5.719', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/min': '-5.594', 'train/tensor_act_model_layers_0_mlp_up_proj/max': '5.719', 'train/tensor_act_model_layers_0_mlp_up_proj/range': '11.31', 'train/tensor_act_model_layers_0_mlp_down_proj/norm': '3112', 'train/tensor_act_model_layers_0_mlp_down_proj/mean': '0.9062', 'train/tensor_act_model_layers_0_mlp_down_proj/std': '1.219', 'train/tensor_act_model_layers_0_mlp_down_proj/max_abs': '4.438', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/min': '-0.8594', 'train/tensor_act_model_layers_0_mlp_down_proj/max': '4.438', 'train/tensor_act_model_layers_0_mlp_down_proj/range': '5.297', 'train/tensor_act_model_layers_0_mlp/norm': '3112', 'train/tensor_act_model_layers_0_mlp/mean': '0.9062', 'train/tensor_act_model_layers_0_mlp/std': '1.219', 'train/tensor_act_model_layers_0_mlp/max_abs': '4.438', 'train/tensor_act_model_layers_0_mlp/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp/min': '-0.8594', 'train/tensor_act_model_layers_0_mlp/max': '4.438', 'train/tensor_act_model_layers_0_mlp/range': '5.297', 'train/tensor_act_model_layers_0_residual_post_mlp/norm': '3125', 'train/tensor_act_model_layers_0_residual_post_mlp/mean': '0.9102', 'train/tensor_act_model_layers_0_residual_post_mlp/std': '1.227', 'train/tensor_act_model_layers_0_residual_post_mlp/max_abs': '4.5', 'train/tensor_act_
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| 56 |
+
{'loss': '8.64', 'grad_norm': '1.963e+09', 'learning_rate': '9e-05', 'epoch': '0.2076', 'train/total_time_seconds': '182.7', 'train/time_per_step_avg': '0.3205', 'train/epoch_time_elapsed': '214.8', 'train/estimated_remaining_minutes': '0.4152'}
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| 57 |
+
{'loss': '8.642', 'grad_norm': '1.98e+09', 'learning_rate': '9e-05', 'epoch': '0.209', 'train/total_time_seconds': '188.4', 'train/time_per_step_avg': '0.3186', 'train/epoch_time_elapsed': '221.6', 'train/estimated_remaining_minutes': '0.4052'}
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| 58 |
+
- 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
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| 59 |
+
- 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).
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| 60 |
+
- If you are not the owner of the model architecture class, please contact the model code owner to update it.
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Writing model shards: 100%|██████████| 1/1 [00:00<00:00, 15.92it/s]
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91%|█████████▏| 3200/3500 [04:17<01:41, 2.95it/s][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.
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| 63 |
+
{'loss': '8.642', 'grad_norm': '2.022e+09', 'learning_rate': '9e-05', 'epoch': '0.2103', 'train/total_time_seconds': '195.1', 'train/time_per_step_avg': '0.3132', 'train/epoch_time_elapsed': '229.5', 'train/estimated_remaining_minutes': '0.396', 'train/tensor_act_model_layers_0_residual_pre_attn/norm': '187.8', 'train/tensor_act_model_layers_0_residual_pre_attn/mean': '0.001183', 'train/tensor_act_model_layers_0_residual_pre_attn/std': '0.0918', 'train/tensor_act_model_layers_0_residual_pre_attn/max_abs': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/min': '-0.2656', 'train/tensor_act_model_layers_0_residual_pre_attn/max': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/range': '0.5488', 'train/tensor_act_model_layers_0_residual_post_attn/norm': '190.6', 'train/tensor_act_model_layers_0_residual_post_attn/mean': '0.001228', 'train/tensor_act_model_layers_0_residual_post_attn/std': '0.09326', 'train/tensor_act_model_layers_0_residual_post_attn/max_abs': '0.4258', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/min': '-0.4258', 'train/tensor_act_model_layers_0_residual_post_attn/max': '0.3828', 'train/tensor_act_model_layers_0_residual_post_attn/range': '0.8086', 'train/tensor_act_model_layers_0_mlp_gate_proj/norm': '3152', 'train/tensor_act_model_layers_0_mlp_gate_proj/mean': '-0.05542', 'train/tensor_act_model_layers_0_mlp_gate_proj/std': '1.086', 'train/tensor_act_model_layers_0_mlp_gate_proj/max_abs': '5.281', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/min': '-5.281', 'train/tensor_act_model_layers_0_mlp_gate_proj/max': '4.812', 'train/tensor_act_model_layers_0_mlp_gate_proj/range': '10.09', 'train/tensor_act_model_layers_0_mlp_up_proj/norm': '2182', 'train/tensor_act_model_layers_0_mlp_up_proj/mean': '-0.002289', 'train/tensor_act_model_layers_0_mlp_up_proj/std': '0.7539', 'train/tensor_act_model_layers_0_mlp_up_proj/max_abs': '5.875', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/min': '-5.75', 'train/tensor_act_model_layers_0_mlp_up_proj/max': '5.875', 'train/tensor_act_model_layers_0_mlp_up_proj/range': '11.62', 'train/tensor_act_model_layers_0_mlp_down_proj/norm': '3886', 'train/tensor_act_model_layers_0_mlp_down_proj/mean': '1.133', 'train/tensor_act_model_layers_0_mlp_down_proj/std': '1.523', 'train/tensor_act_model_layers_0_mlp_down_proj/max_abs': '5.375', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/min': '-0.9141', 'train/tensor_act_model_layers_0_mlp_down_proj/max': '5.375', 'train/tensor_act_model_layers_0_mlp_down_proj/range': '6.289', 'train/tensor_act_model_layers_0_mlp/norm': '3886', 'train/tensor_act_model_layers_0_mlp/mean': '1.133', 'train/tensor_act_model_layers_0_mlp/std': '1.523', 'train/tensor_act_model_layers_0_mlp/max_abs': '5.375', 'train/tensor_act_model_layers_0_mlp/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp/min': '-0.9141', 'train/tensor_act_model_layers_0_mlp/max': '5.375', 'train/tensor_act_model_layers_0_mlp/range': '6.289', 'train/tensor_act_model_layers_0_residual_post_mlp/norm': '3897', 'train/tensor_act_model_layers_0_residual_post_mlp/mean': '1.141', 'train/tensor_act_model_layers_0_residual_post_mlp/std': '1.523', 'train/tensor_act_model_layers_0_residual_post_mlp/max_abs': '5.406', 'train/tensor_act_mode
|
| 64 |
+
{'loss': '8.641', 'grad_norm': '2.03e+09', 'learning_rate': '9e-05', 'epoch': '0.2117', 'train/total_time_seconds': '200.7', 'train/time_per_step_avg': '0.3102', 'train/epoch_time_elapsed': '236.2', 'train/estimated_remaining_minutes': '0.3836'}
|
| 65 |
+
{'loss': '8.635', 'grad_norm': '2.013e+09', 'learning_rate': '9e-05', 'epoch': '0.213', 'train/total_time_seconds': '207.4', 'train/time_per_step_avg': '0.3112', 'train/epoch_time_elapsed': '244', 'train/estimated_remaining_minutes': '0.3719', 'train/tensor_act_model_layers_0_residual_pre_attn/norm': '187.8', 'train/tensor_act_model_layers_0_residual_pre_attn/mean': '0.001183', 'train/tensor_act_model_layers_0_residual_pre_attn/std': '0.0918', 'train/tensor_act_model_layers_0_residual_pre_attn/max_abs': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/min': '-0.2793', 'train/tensor_act_model_layers_0_residual_pre_attn/max': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/range': '0.5625', 'train/tensor_act_model_layers_0_residual_post_attn/norm': '190.6', 'train/tensor_act_model_layers_0_residual_post_attn/mean': '0.001366', 'train/tensor_act_model_layers_0_residual_post_attn/std': '0.09326', 'train/tensor_act_model_layers_0_residual_post_attn/max_abs': '0.4258', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/min': '-0.4258', 'train/tensor_act_model_layers_0_residual_post_attn/max': '0.377', 'train/tensor_act_model_layers_0_residual_post_attn/range': '0.8027', 'train/tensor_act_model_layers_0_mlp_gate_proj/norm': '3254', 'train/tensor_act_model_layers_0_mlp_gate_proj/mean': '-0.04736', 'train/tensor_act_model_layers_0_mlp_gate_proj/std': '1.125', 'train/tensor_act_model_layers_0_mlp_gate_proj/max_abs': '5.344', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/min': '-5.344', 'train/tensor_act_model_layers_0_mlp_gate_proj/max': '4.906', 'train/tensor_act_model_layers_0_mlp_gate_proj/range': '10.25', 'train/tensor_act_model_layers_0_mlp_up_proj/norm': '2363', 'train/tensor_act_model_layers_0_mlp_up_proj/mean': '-0.003601', 'train/tensor_act_model_layers_0_mlp_up_proj/std': '0.8164', 'train/tensor_act_model_layers_0_mlp_up_proj/max_abs': '5.938', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/min': '-5.812', 'train/tensor_act_model_layers_0_mlp_up_proj/max': '5.938', 'train/tensor_act_model_layers_0_mlp_up_proj/range': '11.75', 'train/tensor_act_model_layers_0_mlp_down_proj/norm': '4667', 'train/tensor_act_model_layers_0_mlp_down_proj/mean': '1.375', 'train/tensor_act_model_layers_0_mlp_down_proj/std': '1.812', 'train/tensor_act_model_layers_0_mlp_down_proj/max_abs': '6.375', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/min': '-0.9531', 'train/tensor_act_model_layers_0_mlp_down_proj/max': '6.375', 'train/tensor_act_model_layers_0_mlp_down_proj/range': '7.328', 'train/tensor_act_model_layers_0_mlp/norm': '4667', 'train/tensor_act_model_layers_0_mlp/mean': '1.375', 'train/tensor_act_model_layers_0_mlp/std': '1.812', 'train/tensor_act_model_layers_0_mlp/max_abs': '6.375', 'train/tensor_act_model_layers_0_mlp/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp/min': '-0.9531', 'train/tensor_act_model_layers_0_mlp/max': '6.375', 'train/tensor_act_model_layers_0_mlp/range': '7.328', 'train/tensor_act_model_layers_0_residual_post_mlp/norm': '4678', 'train/tensor_act_model_layers_0_residual_post_mlp/mean': '1.383', 'train/tensor_act_model_layers_0_residual_post_mlp/std': '1.82', 'train/tensor_act_model_layers_0_residual_post_mlp/max_abs': '6.5', 'train/tensor_act_model_lay
|
| 66 |
+
{'loss': '8.637', 'grad_norm': '2.038e+09', 'learning_rate': '9e-05', 'epoch': '0.2144', 'train/total_time_seconds': '213.1', 'train/time_per_step_avg': '0.3043', 'train/epoch_time_elapsed': '250.8', 'train/estimated_remaining_minutes': '0.3574'}
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| 67 |
+
{'loss': '8.642', 'grad_norm': '2.038e+09', 'learning_rate': '9e-05', 'epoch': '0.2157', 'train/total_time_seconds': '218.9', 'train/time_per_step_avg': '0.3049', 'train/epoch_time_elapsed': '257.6', 'train/estimated_remaining_minutes': '0.342'}
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| 68 |
+
- 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
|
| 69 |
+
- 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).
|
| 70 |
+
- If you are not the owner of the model architecture class, please contact the model code owner to update it.
|
| 71 |
+
Writing model shards: 100%|██████████| 1/1 [00:00<00:00, 14.13it/s]
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| 72 |
+
93%|█████████▎| 3257/3500 [04:39<01:40, 2.41it/s], ?it/s]
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| 73 |
+
{'loss': '8.636', 'grad_norm': '2.097e+09', 'learning_rate': '9e-05', 'epoch': '0.2171', 'train/total_time_seconds': '225.9', 'train/time_per_step_avg': '0.308', 'train/epoch_time_elapsed': '265.8', 'train/estimated_remaining_minutes': '0.3273', 'train/tensor_act_model_layers_0_residual_pre_attn/norm': '188', 'train/tensor_act_model_layers_0_residual_pre_attn/mean': '0.00116', 'train/tensor_act_model_layers_0_residual_pre_attn/std': '0.0918', 'train/tensor_act_model_layers_0_residual_pre_attn/max_abs': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_pre_attn/min': '-0.2656', 'train/tensor_act_model_layers_0_residual_pre_attn/max': '0.2832', 'train/tensor_act_model_layers_0_residual_pre_attn/range': '0.5488', 'train/tensor_act_model_layers_0_residual_post_attn/norm': '190.9', 'train/tensor_act_model_layers_0_residual_post_attn/mean': '0.001183', 'train/tensor_act_model_layers_0_residual_post_attn/std': '0.09326', 'train/tensor_act_model_layers_0_residual_post_attn/max_abs': '0.4609', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_residual_post_attn/min': '-0.4258', 'train/tensor_act_model_layers_0_residual_post_attn/max': '0.4609', 'train/tensor_act_model_layers_0_residual_post_attn/range': '0.8867', 'train/tensor_act_model_layers_0_mlp_gate_proj/norm': '3337', 'train/tensor_act_model_layers_0_mlp_gate_proj/mean': '-0.03711', 'train/tensor_act_model_layers_0_mlp_gate_proj/std': '1.148', 'train/tensor_act_model_layers_0_mlp_gate_proj/max_abs': '5.5', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_gate_proj/min': '-5.5', 'train/tensor_act_model_layers_0_mlp_gate_proj/max': '5.312', 'train/tensor_act_model_layers_0_mlp_gate_proj/range': '10.81', 'train/tensor_act_model_layers_0_mlp_up_proj/norm': '2511', 'train/tensor_act_model_layers_0_mlp_up_proj/mean': '-0.005219', 'train/tensor_act_model_layers_0_mlp_up_proj/std': '0.8672', 'train/tensor_act_model_layers_0_mlp_up_proj/max_abs': '5.938', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_up_proj/min': '-5.906', 'train/tensor_act_model_layers_0_mlp_up_proj/max': '5.938', 'train/tensor_act_model_layers_0_mlp_up_proj/range': '11.84', 'train/tensor_act_model_layers_0_mlp_down_proj/norm': '5459', 'train/tensor_act_model_layers_0_mlp_down_proj/mean': '1.625', 'train/tensor_act_model_layers_0_mlp_down_proj/std': '2.109', 'train/tensor_act_model_layers_0_mlp_down_proj/max_abs': '7.469', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp_down_proj/min': '-1.008', 'train/tensor_act_model_layers_0_mlp_down_proj/max': '7.469', 'train/tensor_act_model_layers_0_mlp_down_proj/range': '8.477', 'train/tensor_act_model_layers_0_mlp/norm': '5459', 'train/tensor_act_model_layers_0_mlp/mean': '1.625', 'train/tensor_act_model_layers_0_mlp/std': '2.109', 'train/tensor_act_model_layers_0_mlp/max_abs': '7.469', 'train/tensor_act_model_layers_0_mlp/frac_near_dtype_limit': '0', 'train/tensor_act_model_layers_0_mlp/frac_near_user_limit': '0', 'train/tensor_act_model_layers_0_mlp/min': '-1.008', 'train/tensor_act_model_layers_0_mlp/max': '7.469', 'train/tensor_act_model_layers_0_mlp/range': '8.477', 'train/tensor_act_model_layers_0_residual_post_mlp/norm': '5468', 'train/tensor_act_model_layers_0_residual_post_mlp/mean': '1.625', 'train/tensor_act_model_layers_0_residual_post_mlp/std': '2.125', 'train/tensor_act_model_layers_0_residual_post_mlp/max_abs': '7.594', 'train/tensor_act_model_layers
|
| 74 |
+
{'loss': '8.637', 'grad_norm': '2.097e+09', 'learning_rate': '9e-05', 'epoch': '0.2184', 'train/total_time_seconds': '231.8', 'train/time_per_step_avg': '0.3103', 'train/epoch_time_elapsed': '272.8', 'train/estimated_remaining_minutes': '0.31'}
|
zain/Activation/wandb/run-20260814_211507-54wnyexz/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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|
|
|
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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 |
+
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-20260814_211507-54wnyexz/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,99 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-5.15.0-126-generic-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.11.15",
|
| 4 |
+
"startedAt": "2026-08-14T21:15:07.166881Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"--config",
|
| 7 |
+
"/mnt/data/zainulabideen/zain-exp/notebooks/zain/Activation/configs/baseline100l.yaml",
|
| 8 |
+
"--variants",
|
| 9 |
+
"glu-relu",
|
| 10 |
+
"glu-gelu",
|
| 11 |
+
"glu-sigmoid",
|
| 12 |
+
"glu-waleed10",
|
| 13 |
+
"glu-silu-waleed10"
|
| 14 |
+
],
|
| 15 |
+
"program": "/mnt/data/zainulabideen/zain-exp/notebooks/zain/Activation/sweep.py",
|
| 16 |
+
"codePath": "sweep.py",
|
| 17 |
+
"codePathLocal": "sweep.py",
|
| 18 |
+
"git": {
|
| 19 |
+
"remote": "https://github.com/w-ahmad1a10/Activation.git",
|
| 20 |
+
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| 49 |
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|
| 59 |
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{
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| 62 |
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| 63 |
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| 74 |
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| 77 |
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| 81 |
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| 84 |
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|
| 85 |
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| 88 |
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| 89 |
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|
| 90 |
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|
| 91 |
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| 95 |
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|
| 99 |
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|
zain/Activation/wandb/run-20260814_211507-54wnyexz/logs/debug-core.log
ADDED
|
@@ -0,0 +1,63 @@
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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 |
+
{"time":"2026-08-14T19:38:51.636058907Z","level":"INFO","msg":"main: starting server","port-filename":"/tmp/tmp54729boe/port-1375539.txt","pid":1375539,"detached":false,"idle-timeout":600000000000,"log-level":0,"disable-analytics":false,"shutdown-on-parent-exit":false,"enable-dcgm-profiling":false}
|
| 2 |
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{"time":"2026-08-14T19:38:51.639970993Z","level":"INFO","msg":"server: will exit if parent process dies","ppid":1375539}
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{"time":"2026-08-14T19:38:51.639940209Z","level":"INFO","msg":"server: accepting connections","addr":{"Name":"/tmp/wandb-1375539-170701-251437063/socket","Net":"unix"}}
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| 4 |
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{"time":"2026-08-14T19:38:51.812900736Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"1(@)"}
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| 5 |
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{"time":"2026-08-14T19:39:07.276688434Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"2(@)"}
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| 9 |
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| 10 |
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| 11 |
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| 18 |
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| 25 |
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| 26 |
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| 27 |
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| 29 |
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| 30 |
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| 31 |
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| 33 |
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| 45 |
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| 50 |
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| 51 |
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| 53 |
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| 55 |
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{"time":"2026-08-14T21:08:09.806890437Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"bsqpd0c29zk9"}
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{"time":"2026-08-14T21:08:14.888124439Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:14:51.274587185Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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{"time":"2026-08-14T21:14:52.85240857Z","level":"INFO","msg":"connection: cancelling request","id":"3(@)","requestId":"ilk9hnwtzxxz"}
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| 59 |
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{"time":"2026-08-14T21:14:52.873645397Z","level":"INFO","msg":"handleInformFinish: finish message received","streamId":"a6574zx8","id":"3(@)"}
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| 60 |
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{"time":"2026-08-14T21:14:52.874311484Z","level":"INFO","msg":"handleInformFinish: stream closed","streamId":"a6574zx8","id":"3(@)"}
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{"time":"2026-08-14T21:15:07.169254211Z","level":"INFO","msg":"handleInformInit: received","streamId":"54wnyexz","id":"3(@)"}
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| 63 |
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|
zain/Activation/wandb/run-20260814_211507-54wnyexz/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,65 @@
|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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{"time":"2026-08-14T21:15:07.169424866Z","level":"INFO","msg":"wandb-core"}
|
| 2 |
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{"time":"2026-08-14T21:15:07.169567468Z","level":"INFO","msg":"stream: starting","core version":"0.28.1"}
|
| 3 |
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|
| 4 |
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|
| 5 |
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{"time":"2026-08-14T21:15:07.435689178Z","level":"INFO","msg":"stream: started"}
|
| 6 |
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{"time":"2026-08-14T21:15:07.43571596Z","level":"INFO","msg":"sender: started"}
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| 7 |
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{"time":"2026-08-14T21:15:07.435698857Z","level":"INFO","msg":"writer: started","stream_id":"54wnyexz"}
|
| 8 |
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{"time":"2026-08-14T21:15:07.865306518Z","level":"INFO","msg":"filestream: sending request","total_files":1,"console_offset":0,"console_lines":2}
|
| 9 |
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{"time":"2026-08-14T21:15:07.979243259Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 10 |
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{"time":"2026-08-14T21:15:22.8655656Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":0,"history_lines":1,"events_offset":0,"events_lines":1,"console_offset":1,"console_lines":2,"uploaded_len":2}
|
| 11 |
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{"time":"2026-08-14T21:15:23.014629997Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 12 |
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{"time":"2026-08-14T21:15:23.378577725Z","level":"INFO","msg":"flowcontrol: backed up, offloading to disk","recordNumber":1538}
|
| 13 |
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{"time":"2026-08-14T21:15:23.378611071Z","level":"INFO","msg":"flowcontrol: unblocked","totalOffloaded":1}
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| 14 |
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{"time":"2026-08-14T21:15:23.38845317Z","level":"INFO","msg":"flowcontrol: backed up, offloading to disk","recordNumber":4102}
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| 15 |
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{"time":"2026-08-14T21:15:23.388483609Z","level":"INFO","msg":"flowcontrol: unblocked","totalOffloaded":1}
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| 16 |
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{"time":"2026-08-14T21:15:23.389724048Z","level":"INFO","msg":"flowcontrol: backed up, offloading to disk","recordNumber":4603}
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zain/Activation/wandb/run-20260814_211507-54wnyexz/logs/debug.log
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2026-08-14 21:15:07,168 INFO MainThread:936813 [wandb_init.py:setup_run_log_directory():729] Logging user logs to /mnt/data/zainulabideen/zain-exp/notebooks/zain/Activation/wandb/run-20260814_211507-54wnyexz/logs/debug.log
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| 2 |
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2026-08-14 21:15:07,168 INFO MainThread:936813 [wandb_init.py:setup_run_log_directory():730] Logging internal logs to /mnt/data/zainulabideen/zain-exp/notebooks/zain/Activation/wandb/run-20260814_211507-54wnyexz/logs/debug-internal.log
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| 3 |
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2026-08-14 21:15:07,168 INFO MainThread:936813 [wandb_init.py:init():772] calling init triggers
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| 4 |
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2026-08-14 21:15:07,168 INFO MainThread:936813 [wandb_init.py:init():777] wandb.init called with sweep_config: {}
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| 5 |
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config: {'_wandb': {}}
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| 6 |
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2026-08-14 21:15:07,168 INFO MainThread:936813 [wandb_init.py:init():820] starting backend
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| 8 |
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| 12 |
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| 13 |
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2026-08-14 21:15:07,858 INFO MainThread:936813 [wandb_config.py:__setitem__():155] [no run ID] config set model/num_parameters = 16934016 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x14ee39eebe10>>
|
| 20 |
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2026-08-14 21:15:07,858 INFO MainThread:936813 [wandb_run.py:_config_callback():1346] config_cb model/num_parameters 16934016 None
|
zain/Activation/wandb/run-20260814_211507-54wnyexz/run-54wnyexz.wandb
ADDED
|
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