nohup: ignoring input wandb: Appending key for api.wandb.ai to your netrc file: /home/n5huang/.netrc wandb: Currently logged in as: mtapiapacheco (mtapiapacheco-university-of-california-san-diego) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin /home/n5huang/miniconda3/envs/bpe/lib/python3.9/site-packages/transformers/utils/generic.py:441: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead. _torch_pytree._register_pytree_node( /home/n5huang/miniconda3/envs/bpe/lib/python3.9/site-packages/transformers/utils/generic.py:309: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead. _torch_pytree._register_pytree_node( /home/n5huang/miniconda3/envs/bpe/lib/python3.9/site-packages/transformers/utils/generic.py:309: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead. _torch_pytree._register_pytree_node( wandb: setting up run 9ph1pkcx wandb: Tracking run with wandb version 0.23.1 wandb: Run data is saved locally in /data/n5huang/dna_token/output_tokens/wandb/run-20260409_031927-9ph1pkcx wandb: Run `wandb offline` to turn off syncing. wandb: Syncing run toasty-breeze-3 wandb: ⭐️ View project at https://wandb.ai/mtapiapacheco-university-of-california-san-diego/uncategorized wandb: 🚀 View run at https://wandb.ai/mtapiapacheco-university-of-california-san-diego/uncategorized/runs/9ph1pkcx 04/09/2026 03:19:29 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: False, 16-bits training: False 04/09/2026 03:19:29 - INFO - __main__ - Training/evaluation parameters TrainingArguments( _n_gpu=1, adafactor=False, adam_beta1=0.9, adam_beta2=0.98, adam_epsilon=1e-06, auto_find_batch_size=False, bf16=False, bf16_full_eval=False, data_seed=None, dataloader_drop_last=False, dataloader_num_workers=0, dataloader_pin_memory=True, ddp_backend=None, ddp_broadcast_buffers=None, ddp_bucket_cap_mb=None, ddp_find_unused_parameters=None, ddp_timeout=1800, debug=[], deepspeed=None, disable_tqdm=False, dispatch_batches=None, do_eval=True, do_predict=False, do_train=True, eval_accumulation_steps=None, eval_delay=0, eval_steps=None, evaluation_strategy=no, fp16=False, fp16_backend=auto, fp16_full_eval=False, fp16_opt_level=O1, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_grad_ckpt': False}, fsdp_min_num_params=0, fsdp_transformer_layer_cls_to_wrap=None, full_determinism=False, gradient_accumulation_steps=1, gradient_checkpointing=False, gradient_checkpointing_kwargs=None, greater_is_better=None, group_by_length=False, half_precision_backend=auto, hub_always_push=False, hub_model_id=None, hub_private_repo=False, hub_strategy=every_save, hub_token=, ignore_data_skip=False, include_inputs_for_metrics=False, include_tokens_per_second=False, jit_mode_eval=False, label_names=None, label_smoothing_factor=0.0, learning_rate=4e-05, length_column_name=length, load_best_model_at_end=False, local_rank=0, log_level=passive, log_level_replica=warning, log_on_each_node=True, logging_dir=/home/n5huang/dna_token/pretrain/models/len2_5120/runs/Apr09_03-19-29_sn4622116170, logging_first_step=False, logging_nan_inf_filter=True, logging_steps=1000, logging_strategy=steps, lr_scheduler_type=linear, max_grad_norm=1.0, max_steps=200000, metric_for_best_model=None, mp_parameters=, neftune_noise_alpha=None, no_cuda=False, num_train_epochs=3.0, optim=adamw_torch, optim_args=None, output_dir=/home/n5huang/dna_token/pretrain/models/len2_5120, overwrite_output_dir=False, past_index=-1, per_device_eval_batch_size=96, per_device_train_batch_size=96, prediction_loss_only=False, push_to_hub=False, push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=, ray_scope=last, remove_unused_columns=True, report_to=['wandb'], resume_from_checkpoint=/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-100000, run_name=/home/n5huang/dna_token/pretrain/models/len2_5120, save_on_each_node=False, save_safetensors=True, save_steps=1000, save_strategy=steps, save_total_limit=10, seed=42, skip_memory_metrics=True, split_batches=False, tf32=None, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, torchdynamo=None, tpu_metrics_debug=False, tpu_num_cores=None, use_cpu=False, use_ipex=False, use_legacy_prediction_loop=False, use_mps_device=False, warmup_ratio=0.0, warmup_steps=10000, weight_decay=0.01, ) Using custom data configuration default-9aa68439a1bf4533 04/09/2026 03:19:29 - INFO - datasets.builder - Using custom data configuration default-9aa68439a1bf4533 Found cached dataset csv (/home/n5huang/dna_token/output_tokens/cache/csv/default-9aa68439a1bf4533/0.0.0/a43390c7ecea6519ff2ce9d10005c8750601c9e456069be5efbd2747df45f420) 04/09/2026 03:19:29 - INFO - datasets.builder - Found cached dataset csv (/home/n5huang/dna_token/output_tokens/cache/csv/default-9aa68439a1bf4533/0.0.0/a43390c7ecea6519ff2ce9d10005c8750601c9e456069be5efbd2747df45f420) [INFO|configuration_utils.py:715] 2026-04-09 03:19:29,834 >> loading configuration file /home/n5huang/dna_token/pretrain/models/len2_5120/config.json [INFO|configuration_utils.py:777] 2026-04-09 03:19:29,835 >> Model config BertConfig { "architectures": [ "BertForMaskedLM" ], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1e-12, "max_length": 512, "max_position_embeddings": 512, "model_type": "bert", "num_attention_heads": 12, "num_hidden_layers": 12, "pad_token_id": 0, "position_embedding_type": "absolute", "torch_dtype": "float32", "transformers_version": "4.35.2", "type_vocab_size": 2, "use_cache": true, "vocab_size": 5120 } 04/09/2026 03:19:29 - INFO - __main__ - Training new model from scratch /home/n5huang/miniconda3/envs/bpe/lib/python3.9/site-packages/transformers/utils/generic.py:309: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead. _torch_pytree._register_pytree_node( [INFO|configuration_utils.py:791] 2026-04-09 03:19:29,850 >> Generate config GenerationConfig { "max_length": 512, "pad_token_id": 0 } Loading cached processed dataset at /home/n5huang/dna_token/output_tokens/cache/csv/default-9aa68439a1bf4533/0.0.0/a43390c7ecea6519ff2ce9d10005c8750601c9e456069be5efbd2747df45f420/cache-b7e4e83b1e5bb0f0_*_of_00008.arrow 04/09/2026 03:19:48 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/n5huang/dna_token/output_tokens/cache/csv/default-9aa68439a1bf4533/0.0.0/a43390c7ecea6519ff2ce9d10005c8750601c9e456069be5efbd2747df45f420/cache-b7e4e83b1e5bb0f0_*_of_00008.arrow Concatenating 8 shards 04/09/2026 03:19:48 - INFO - datasets.arrow_dataset - Concatenating 8 shards Loading cached processed dataset at /home/n5huang/dna_token/output_tokens/cache/csv/default-9aa68439a1bf4533/0.0.0/a43390c7ecea6519ff2ce9d10005c8750601c9e456069be5efbd2747df45f420/cache-e09c066770dc1f08_*_of_00008.arrow 04/09/2026 03:19:48 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/n5huang/dna_token/output_tokens/cache/csv/default-9aa68439a1bf4533/0.0.0/a43390c7ecea6519ff2ce9d10005c8750601c9e456069be5efbd2747df45f420/cache-e09c066770dc1f08_*_of_00008.arrow Concatenating 8 shards 04/09/2026 03:19:48 - INFO - datasets.arrow_dataset - Concatenating 8 shards [INFO|trainer.py:544] 2026-04-09 03:19:49,478 >> max_steps is given, it will override any value given in num_train_epochs [INFO|trainer.py:2066] 2026-04-09 03:19:49,483 >> Loading model from /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-100000. [WARNING|trainer.py:2231] 2026-04-09 03:19:49,780 >> There were missing keys in the checkpoint model loaded: ['cls.predictions.decoder.weight', 'cls.predictions.decoder.bias']. [INFO|trainer.py:738] 2026-04-09 03:19:50,098 >> The following columns in the training set don't have a corresponding argument in `BertForMaskedLM.forward` and have been ignored: special_tokens_mask. If special_tokens_mask are not expected by `BertForMaskedLM.forward`, you can safely ignore this message. [INFO|trainer.py:1723] 2026-04-09 03:19:50,767 >> ***** Running training ***** [INFO|trainer.py:1724] 2026-04-09 03:19:50,768 >> Num examples = 982,503 [INFO|trainer.py:1725] 2026-04-09 03:19:50,768 >> Num Epochs = 20 [INFO|trainer.py:1726] 2026-04-09 03:19:50,768 >> Instantaneous batch size per device = 96 [INFO|trainer.py:1729] 2026-04-09 03:19:50,768 >> Total train batch size (w. parallel, distributed & accumulation) = 96 [INFO|trainer.py:1730] 2026-04-09 03:19:50,769 >> Gradient Accumulation steps = 1 [INFO|trainer.py:1731] 2026-04-09 03:19:50,769 >> Total optimization steps = 200,000 [INFO|trainer.py:1732] 2026-04-09 03:19:50,770 >> Number of trainable parameters = 89,980,160 [INFO|trainer.py:1752] 2026-04-09 03:19:50,770 >> Continuing training from checkpoint, will skip to saved global_step [INFO|trainer.py:1753] 2026-04-09 03:19:50,771 >> Continuing training from epoch 9 [INFO|trainer.py:1754] 2026-04-09 03:19:50,771 >> Continuing training from global step 100000 [INFO|trainer.py:1756] 2026-04-09 03:19:50,771 >> Will skip the first 9 epochs then the first 7885 batches in the first epoch. [INFO|integration_utils.py:718] 2026-04-09 03:19:50,772 >> Automatic Weights & Biases logging enabled, to disable set os.environ["WANDB_DISABLED"] = "true" 0%| | 0/200000 [00:00> You're using a PreTrainedTokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding. 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/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-103000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-09 05:22:27,970 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-97000] due to args.save_total_limit 52%|█████▏ | 103001/200000 [2:02:39<75:11:13, 2.79s/it] 52%|█████▏ | 103002/200000 [2:02:42<74:51:37, 2.78s/it] 52%|█████▏ | 103003/200000 [2:02:45<74:51:09, 2.78s/it] 52%|█████▏ | 103004/200000 [2:02:47<72:04:19, 2.67s/it] 52%|█████▏ | 103005/200000 [2:02:50<70:09:32, 2.60s/it] 52%|█████▏ | 103006/200000 [2:02:52<68:55:08, 2.56s/it] 52%|█████▏ | 103007/200000 [2:02:54<68:00:28, 2.52s/it] 52%|█████▏ | 103008/200000 [2:02:57<67:32:59, 2.51s/it] 52%|█████▏ | 103009/200000 [2:02:59<67:01:22, 2.49s/it] 52%|█████▏ | 103010/200000 [2:03:02<66:45:45, 2.48s/it] 52%|█████▏ | 103011/200000 [2:03:04<66:28:37, 2.47s/it] 52%|█████▏ | 103012/200000 [2:03:07<66:14:44, 2.46s/it] 52%|█████▏ | 103013/200000 [2:03:09<66:05:55, 2.45s/it] 52%|█████▏ | 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[INFO|configuration_utils.py:461] 2026-04-09 06:43:58,059 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-105000/config.json [INFO|configuration_utils.py:564] 2026-04-09 06:43:58,060 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-105000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-09 06:43:58,464 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-105000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-09 06:43:59,223 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-95000] due to args.save_total_limit 53%|█████▎ | 105001/200000 [3:24:10<73:41:41, 2.79s/it] 53%|█████▎ | 105002/200000 [3:24:13<70:53:02, 2.69s/it] 53%|█████▎ | 105003/200000 [3:24:15<68:55:04, 2.61s/it] 53%|█████▎ | 105004/200000 [3:24:18<67:32:34, 2.56s/it] 53%|█████▎ | 105005/200000 [3:24:20<66:33:51, 2.52s/it] 53%|█████▎ | 105006/200000 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[INFO|configuration_utils.py:461] 2026-04-09 09:27:31,139 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-109000/config.json [INFO|configuration_utils.py:564] 2026-04-09 09:27:31,139 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-109000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-09 09:27:31,591 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-109000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-09 09:27:32,411 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-93000] due to args.save_total_limit 55%|█████▍ | 109001/200000 [6:07:44<71:18:14, 2.82s/it] 55%|█████▍ | 109002/200000 [6:07:46<68:26:47, 2.71s/it] 55%|█████▍ | 109003/200000 [6:07:48<66:23:35, 2.63s/it] 55%|█████▍ | 109004/200000 [6:07:51<64:56:20, 2.57s/it] 55%|█████▍ | 109005/200000 [6:07:53<63:56:34, 2.53s/it] 55%|█████▍ | 109006/200000 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[INFO|configuration_utils.py:461] 2026-04-09 12:10:14,914 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-113000/config.json [INFO|configuration_utils.py:564] 2026-04-09 12:10:14,915 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-113000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-09 12:10:15,317 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-113000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-09 12:10:16,132 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-103000] due to args.save_total_limit 57%|█████▋ | 113001/200000 [8:50:27<67:44:04, 2.80s/it] 57%|█████▋ | 113002/200000 [8:50:30<65:03:21, 2.69s/it] 57%|█████▋ | 113003/200000 [8:50:32<63:12:20, 2.62s/it] 57%|█████▋ | 113004/200000 [8:50:35<61:54:04, 2.56s/it] 57%|█████▋ | 113005/200000 [8:50:37<60:58:32, 2.52s/it] 57%|█████▋ | 113006/200000 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/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-118000/config.json [INFO|configuration_utils.py:564] 2026-04-09 15:34:47,555 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-118000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-09 15:34:47,987 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-118000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-09 15:34:48,770 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-108000] due to args.save_total_limit 59%|█████▉ | 118001/200000 [12:15:00<64:47:55, 2.84s/it] 59%|█████▉ | 118002/200000 [12:15:02<62:00:44, 2.72s/it] 59%|█████▉ | 118003/200000 [12:15:05<60:01:45, 2.64s/it] 59%|█████▉ | 118004/200000 [12:15:07<58:38:08, 2.57s/it] 59%|█████▉ | 118005/200000 [12:15:10<57:41:58, 2.53s/it] 59%|█████▉ | 118006/200000 [12:15:12<57:01:37, 2.50s/it] 59%|█████▉ | 118007/200000 [12:15:15<56:36:35, 2.49s/it] 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>> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-119000/config.json [INFO|configuration_utils.py:564] 2026-04-09 16:16:10,836 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-119000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-09 16:16:11,292 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-119000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-09 16:16:12,240 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-109000] due to args.save_total_limit 60%|█████▉ | 119001/200000 [12:56:24<67:36:46, 3.01s/it] 60%|█████▉ | 119002/200000 [12:56:26<65:00:49, 2.89s/it] 60%|█████▉ | 119003/200000 [12:56:29<62:14:15, 2.77s/it] 60%|█████▉ | 119004/200000 [12:56:32<61:40:32, 2.74s/it] 60%|█████▉ | 119005/200000 [12:56:34<61:13:11, 2.72s/it] 60%|█████▉ | 119006/200000 [12:56:37<61:32:05, 2.74s/it] 60%|█████▉ | 119007/200000 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[INFO|configuration_utils.py:461] 2026-04-09 16:57:56,957 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-120000/config.json [INFO|configuration_utils.py:564] 2026-04-09 16:57:56,958 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-120000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-09 16:57:57,334 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-120000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-09 16:57:58,052 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-110000] due to args.save_total_limit 60%|██████ | 120001/200000 [13:38:09<61:33:11, 2.77s/it] 60%|██████ | 120002/200000 [13:38:12<59:23:29, 2.67s/it] 60%|██████ | 120003/200000 [13:38:14<57:49:13, 2.60s/it] 60%|██████ | 120004/200000 [13:38:17<56:46:19, 2.55s/it] 60%|██████ | 120005/200000 [13:38:19<56:10:54, 2.53s/it] 60%|██████ | 120006/200000 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/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-121000 [INFO|configuration_utils.py:461] 2026-04-09 17:40:05,809 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-121000/config.json [INFO|configuration_utils.py:564] 2026-04-09 17:40:05,809 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-121000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-09 17:40:06,334 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-121000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-09 17:40:07,153 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-111000] due to args.save_total_limit 61%|██████ | 121001/200000 [14:20:18<63:02:32, 2.87s/it] 61%|██████ | 121002/200000 [14:20:21<60:11:41, 2.74s/it] 61%|██████ | 121003/200000 [14:20:23<58:15:13, 2.65s/it] 61%|██████ | 121004/200000 [14:20:26<58:37:41, 2.67s/it] 61%|██████ | 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2026-04-09 18:21:20,510 >> Saving model checkpoint to /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-122000 [INFO|configuration_utils.py:461] 2026-04-09 18:21:20,511 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-122000/config.json [INFO|configuration_utils.py:564] 2026-04-09 18:21:20,511 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-122000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-09 18:21:21,079 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-122000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-09 18:21:22,128 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-112000] due to args.save_total_limit 61%|██████ | 122001/200000 [15:01:33<63:46:54, 2.94s/it] 61%|██████ | 122002/200000 [15:01:36<60:34:23, 2.80s/it] 61%|██████ | 122003/200000 [15:01:38<58:17:47, 2.69s/it] 61%|██████ | 122004/200000 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Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-123000/config.json [INFO|configuration_utils.py:564] 2026-04-09 19:02:38,813 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-123000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-09 19:02:39,240 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-123000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-09 19:02:40,176 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-113000] due to args.save_total_limit 62%|██████▏ | 123001/200000 [15:42:51<62:10:45, 2.91s/it] 62%|██████▏ | 123002/200000 [15:42:54<59:11:12, 2.77s/it] 62%|██████▏ | 123003/200000 [15:42:56<57:10:24, 2.67s/it] 62%|██████▏ | 123004/200000 [15:42:59<55:40:08, 2.60s/it] 62%|██████▏ | 123005/200000 [15:43:01<54:40:00, 2.56s/it] 62%|██████▏ | 123006/200000 [15:43:04<55:07:46, 2.58s/it] 62%|██████▏ | 123007/200000 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in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-127000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-09 21:49:26,696 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-127000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-09 21:49:27,512 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-117000] due to args.save_total_limit 64%|██████▎ | 127001/200000 [18:29:39<56:50:20, 2.80s/it] 64%|██████▎ | 127002/200000 [18:29:41<54:35:08, 2.69s/it] 64%|██████▎ | 127003/200000 [18:29:44<53:00:43, 2.61s/it] 64%|██████▎ | 127004/200000 [18:29:46<51:57:45, 2.56s/it] 64%|██████▎ | 127005/200000 [18:29:48<51:12:34, 2.53s/it] 64%|██████▎ | 127006/200000 [18:29:51<50:40:16, 2.50s/it] 64%|██████▎ | 127007/200000 [18:29:53<50:17:35, 2.48s/it] 64%|██████▎ | 127008/200000 [18:29:56<50:01:57, 2.47s/it] 64%|██████▎ | 127009/200000 [18:29:58<49:54:07, 2.46s/it] 64%|██████▎ | 127010/200000 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[19:51:04<53:11:20, 2.70s/it][INFO|trainer.py:2881] 2026-04-09 23:10:55,494 >> Saving model checkpoint to /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-129000 [INFO|configuration_utils.py:461] 2026-04-09 23:10:55,495 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-129000/config.json [INFO|configuration_utils.py:564] 2026-04-09 23:10:55,496 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-129000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-09 23:10:56,009 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-129000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-09 23:10:56,990 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-119000] due to args.save_total_limit 65%|██████▍ | 129001/200000 [19:51:08<62:11:14, 3.15s/it] 65%|██████▍ | 129002/200000 [19:51:11<58:44:48, 2.98s/it] 65%|██████▍ | 129003/200000 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[INFO|configuration_utils.py:461] 2026-04-10 01:58:09,148 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-133000/config.json [INFO|configuration_utils.py:564] 2026-04-10 01:58:09,149 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-133000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-10 01:58:09,609 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-133000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-10 01:58:10,583 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-123000] due to args.save_total_limit 67%|██████▋ | 133001/200000 [22:38:22<53:52:23, 2.89s/it] 67%|██████▋ | 133002/200000 [22:38:24<51:28:36, 2.77s/it] 67%|██████▋ | 133003/200000 [22:38:27<49:46:59, 2.68s/it] 67%|██████▋ | 133004/200000 [22:38:29<48:35:49, 2.61s/it] 67%|██████▋ | 133005/200000 [22:38:32<47:48:28, 2.57s/it] 67%|██████▋ | 133006/200000 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[24:44:06<45:19:44, 2.55s/it][INFO|trainer.py:2881] 2026-04-10 04:03:56,795 >> Saving model checkpoint to /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-136000 [INFO|configuration_utils.py:461] 2026-04-10 04:03:56,796 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-136000/config.json [INFO|configuration_utils.py:564] 2026-04-10 04:03:56,797 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-136000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-10 04:03:57,293 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-136000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-10 04:03:58,352 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-126000] due to args.save_total_limit 68%|██████▊ | 136001/200000 [24:44:10<53:29:38, 3.01s/it] 68%|██████▊ | 136002/200000 [24:44:12<50:53:22, 2.86s/it] 68%|██████▊ | 136003/200000 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[INFO|configuration_utils.py:461] 2026-04-10 06:54:48,734 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-140000/config.json [INFO|configuration_utils.py:564] 2026-04-10 06:54:48,735 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-140000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-10 06:54:49,115 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-140000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-10 06:54:49,919 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-130000] due to args.save_total_limit 70%|███████ | 140001/200000 [27:35:01<46:46:11, 2.81s/it] 70%|███████ | 140002/200000 [27:35:04<44:54:34, 2.69s/it] 70%|███████ | 140003/200000 [27:35:06<43:36:20, 2.62s/it] 70%|███████ | 140004/200000 [27:35:08<42:43:04, 2.56s/it] 70%|███████ | 140005/200000 [27:35:11<42:06:19, 2.53s/it] 70%|███████ | 140006/200000 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/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-143000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-10 08:57:10,005 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-133000] due to args.save_total_limit 72%|███████▏ | 143001/200000 [29:37:21<45:54:48, 2.90s/it] 72%|███████▏ | 143002/200000 [29:37:24<43:42:44, 2.76s/it] 72%|███████▏ | 143003/200000 [29:37:26<42:13:05, 2.67s/it] 72%|███████▏ | 143004/200000 [29:37:29<41:09:27, 2.60s/it] 72%|███████▏ | 143005/200000 [29:37:31<40:25:49, 2.55s/it] 72%|███████▏ | 143006/200000 [29:37:33<39:54:14, 2.52s/it] 72%|███████▏ | 143007/200000 [29:37:36<39:31:23, 2.50s/it] 72%|███████▏ | 143008/200000 [29:37:38<39:17:01, 2.48s/it] 72%|███████▏ | 143009/200000 [29:37:41<39:06:51, 2.47s/it] 72%|███████▏ | 143010/200000 [29:37:43<40:10:59, 2.54s/it] 72%|███████▏ | 143011/200000 [29:37:46<39:44:40, 2.51s/it] 72%|███████▏ | 143012/200000 [29:37:48<39:25:25, 2.49s/it] 72%|███████▏ | 143013/200000 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[INFO|configuration_utils.py:461] 2026-04-10 09:37:54,006 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-144000/config.json [INFO|configuration_utils.py:564] 2026-04-10 09:37:54,006 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-144000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-10 09:37:54,463 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-144000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-10 09:37:55,340 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-134000] due to args.save_total_limit 72%|███████▏ | 144001/200000 [30:18:06<44:13:40, 2.84s/it] 72%|███████▏ | 144002/200000 [30:18:09<42:21:09, 2.72s/it] 72%|███████▏ | 144003/200000 [30:18:11<41:00:50, 2.64s/it] 72%|███████▏ | 144004/200000 [30:18:14<40:04:20, 2.58s/it] 72%|███████▏ | 144005/200000 [30:18:16<39:26:21, 2.54s/it] 72%|███████▏ | 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12:20:52,649 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-148000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-10 12:20:53,515 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-138000] due to args.save_total_limit 74%|███████▍ | 148001/200000 [33:01:05<40:50:49, 2.83s/it] 74%|███████▍ | 148002/200000 [33:01:07<39:10:06, 2.71s/it] 74%|███████▍ | 148003/200000 [33:01:10<37:58:36, 2.63s/it] 74%|███████▍ | 148004/200000 [33:01:12<37:09:07, 2.57s/it] 74%|███████▍ | 148005/200000 [33:01:14<36:34:46, 2.53s/it] 74%|███████▍ | 148006/200000 [33:01:17<36:10:24, 2.50s/it] 74%|███████▍ | 148007/200000 [33:01:19<35:53:09, 2.48s/it] 74%|███████▍ | 148008/200000 [33:01:22<35:47:46, 2.48s/it] 74%|███████▍ | 148009/200000 [33:01:24<35:37:06, 2.47s/it] 74%|███████▍ | 148010/200000 [33:01:27<35:32:51, 2.46s/it] 74%|███████▍ | 148011/200000 [33:01:29<35:26:42, 2.45s/it] 74%|███████▍ | 148012/200000 [33:01:32<35:25:28, 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/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-149000 [INFO|configuration_utils.py:461] 2026-04-10 13:01:38,003 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-149000/config.json [INFO|configuration_utils.py:564] 2026-04-10 13:01:38,004 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-149000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-10 13:01:38,445 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-149000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-10 13:01:39,339 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-139000] due to args.save_total_limit 75%|███████▍ | 149001/200000 [33:41:51<40:19:16, 2.85s/it] 75%|███████▍ | 149002/200000 [33:41:53<38:36:00, 2.72s/it] 75%|███████▍ | 149003/200000 [33:41:55<37:22:45, 2.64s/it] 75%|███████▍ | 149004/200000 [33:41:58<36:32:42, 2.58s/it] 75%|███████▍ | 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/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-156000 [INFO|configuration_utils.py:461] 2026-04-10 21:12:12,058 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-156000/config.json [INFO|configuration_utils.py:564] 2026-04-10 21:12:12,059 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-156000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-10 21:12:12,444 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-156000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-10 21:12:13,235 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-146000] due to args.save_total_limit 78%|███████▊ | 156001/200000 [41:52:24<34:12:36, 2.80s/it] 78%|███████▊ | 156002/200000 [41:52:27<32:51:06, 2.69s/it] 78%|███████▊ | 156003/200000 [41:52:29<31:55:17, 2.61s/it] 78%|███████▊ | 156004/200000 [41:52:32<31:16:58, 2.56s/it] 78%|███████▊ | 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2.44s/it][INFO|trainer.py:2881] 2026-04-11 00:35:33,625 >> Saving model checkpoint to /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-161000 [INFO|configuration_utils.py:461] 2026-04-11 00:35:33,626 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-161000/config.json [INFO|configuration_utils.py:564] 2026-04-11 00:35:33,627 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-161000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-11 00:35:34,070 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-161000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-11 00:35:34,905 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-151000] due to args.save_total_limit 81%|████████ | 161001/200000 [45:15:46<30:36:18, 2.83s/it] 81%|████████ | 161002/200000 [45:15:49<29:20:26, 2.71s/it] 81%|████████ | 161003/200000 [45:15:51<28:26:47, 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/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-163000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-11 01:56:56,473 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-153000] due to args.save_total_limit 82%|████████▏ | 163001/200000 [46:37:08<29:11:08, 2.84s/it] 82%|████████▏ | 163002/200000 [46:37:10<27:57:27, 2.72s/it] 82%|████████▏ | 163003/200000 [46:37:13<27:05:23, 2.64s/it] 82%|████████▏ | 163004/200000 [46:37:15<26:28:03, 2.58s/it] 82%|████████▏ | 163005/200000 [46:37:18<26:02:13, 2.53s/it] 82%|████████▏ | 163006/200000 [46:37:20<25:45:50, 2.51s/it] 82%|████████▏ | 163007/200000 [46:37:22<25:33:42, 2.49s/it] 82%|████████▏ | 163008/200000 [46:37:25<25:24:11, 2.47s/it] 82%|████████▏ | 163009/200000 [46:37:27<25:18:41, 2.46s/it] 82%|████████▏ | 163010/200000 [46:37:30<25:13:39, 2.46s/it] 82%|████████▏ | 163011/200000 [46:37:32<25:10:08, 2.45s/it] 82%|████████▏ | 163012/200000 [46:37:35<25:07:38, 2.45s/it] 82%|████████▏ | 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/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-166000 [INFO|configuration_utils.py:461] 2026-04-11 04:01:22,572 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-166000/config.json [INFO|configuration_utils.py:564] 2026-04-11 04:01:22,573 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-166000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-11 04:01:22,937 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-166000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-11 04:01:23,733 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-156000] due to args.save_total_limit 83%|████████▎ | 166001/200000 [48:41:35<26:58:40, 2.86s/it] 83%|████████▎ | 166002/200000 [48:41:37<25:46:05, 2.73s/it] 83%|████████▎ | 166003/200000 [48:41:40<24:55:31, 2.64s/it] 83%|████████▎ | 166004/200000 [48:41:42<24:19:45, 2.58s/it] 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/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-168000 [INFO|configuration_utils.py:461] 2026-04-11 05:23:43,268 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-168000/config.json [INFO|configuration_utils.py:564] 2026-04-11 05:23:43,269 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-168000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-11 05:23:43,641 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-168000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-11 05:23:44,415 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-158000] due to args.save_total_limit 84%|████████▍ | 168001/200000 [50:03:56<25:09:20, 2.83s/it] 84%|████████▍ | 168002/200000 [50:03:58<24:07:28, 2.71s/it] 84%|████████▍ | 168003/200000 [50:04:01<23:22:38, 2.63s/it] 84%|████████▍ | 168004/200000 [50:04:03<22:51:07, 2.57s/it] 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/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-176000 [INFO|configuration_utils.py:461] 2026-04-11 10:51:15,780 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-176000/config.json [INFO|configuration_utils.py:564] 2026-04-11 10:51:15,780 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-176000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-11 10:51:16,209 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-176000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-11 10:51:17,042 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-166000] due to args.save_total_limit 88%|████████▊ | 176001/200000 [55:31:28<18:59:11, 2.85s/it] 88%|████████▊ | 176002/200000 [55:31:31<18:09:11, 2.72s/it] 88%|████████▊ | 176003/200000 [55:31:33<17:34:47, 2.64s/it] 88%|████████▊ | 176004/200000 [55:31:36<17:11:37, 2.58s/it] 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/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-178000 [INFO|configuration_utils.py:461] 2026-04-11 12:12:40,260 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-178000/config.json [INFO|configuration_utils.py:564] 2026-04-11 12:12:40,260 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-178000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-11 12:12:40,765 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-178000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-11 12:12:41,679 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-168000] due to args.save_total_limit 89%|████████▉ | 178001/200000 [56:52:53<17:46:56, 2.91s/it] 89%|████████▉ | 178002/200000 [56:52:55<16:54:46, 2.77s/it] 89%|████████▉ | 178003/200000 [56:52:58<16:19:07, 2.67s/it] 89%|████████▉ | 178004/200000 [56:53:00<15:53:15, 2.60s/it] 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/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-181000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-11 14:14:46,667 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-171000] due to args.save_total_limit 91%|█████████ | 181001/200000 [58:54:58<15:10:46, 2.88s/it] 91%|█████████ | 181002/200000 [58:55:00<14:28:50, 2.74s/it] 91%|█████████ | 181003/200000 [58:55:03<13:59:37, 2.65s/it] 91%|█████████ | 181004/200000 [58:55:05<13:39:25, 2.59s/it] 91%|█████████ | 181005/200000 [58:55:08<13:25:14, 2.54s/it] 91%|█████████ | 181006/200000 [58:55:10<13:14:54, 2.51s/it] 91%|█████████ | 181007/200000 [58:55:13<13:07:38, 2.49s/it] 91%|█████████ | 181008/200000 [58:55:15<13:02:07, 2.47s/it] 91%|█████████ | 181009/200000 [58:55:17<12:58:42, 2.46s/it] 91%|█████████ | 181010/200000 [58:55:20<12:56:15, 2.45s/it] 91%|█████████ | 181011/200000 [58:55:22<12:55:25, 2.45s/it] 91%|█████████ | 181012/200000 [58:55:25<12:55:28, 2.45s/it] 91%|█████████ | 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/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-182000 [INFO|configuration_utils.py:461] 2026-04-11 14:55:26,154 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-182000/config.json [INFO|configuration_utils.py:564] 2026-04-11 14:55:26,155 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-182000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-11 14:55:26,614 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-182000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-11 14:55:27,550 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-172000] due to args.save_total_limit 91%|█████████ | 182001/200000 [59:35:39<14:42:43, 2.94s/it] 91%|█████████ | 182002/200000 [59:35:41<13:57:02, 2.79s/it] 91%|█████████ | 182003/200000 [59:35:44<13:25:15, 2.68s/it] 91%|█████████ | 182004/200000 [59:35:46<13:02:53, 2.61s/it] 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/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-183000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-11 15:36:09,762 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-173000] due to args.save_total_limit 92%|█████████▏| 183001/200000 [60:16:21<13:44:35, 2.91s/it] 92%|█████████▏| 183002/200000 [60:16:23<13:03:54, 2.77s/it] 92%|█████████▏| 183003/200000 [60:16:26<12:36:20, 2.67s/it] 92%|█████████▏| 183004/200000 [60:16:28<12:16:15, 2.60s/it] 92%|█████████▏| 183005/200000 [60:16:31<12:02:43, 2.55s/it] 92%|█████████▏| 183006/200000 [60:16:33<11:53:07, 2.52s/it] 92%|█████████▏| 183007/200000 [60:16:36<11:46:13, 2.49s/it] 92%|█████████▏| 183008/200000 [60:16:38<11:41:45, 2.48s/it] 92%|█████████▏| 183009/200000 [60:16:41<11:38:03, 2.47s/it] 92%|█████████▏| 183010/200000 [60:16:43<11:35:31, 2.46s/it] 92%|█████████▏| 183011/200000 [60:16:45<11:33:37, 2.45s/it] 92%|█████████▏| 183012/200000 [60:16:48<11:32:08, 2.44s/it] 92%|█████████▏| 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/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-184000 [INFO|configuration_utils.py:461] 2026-04-11 16:16:48,904 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-184000/config.json [INFO|configuration_utils.py:564] 2026-04-11 16:16:48,905 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-184000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-11 16:16:49,362 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-184000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-11 16:16:50,289 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-174000] due to args.save_total_limit 92%|█████████▏| 184001/200000 [60:57:02<13:00:15, 2.93s/it] 92%|█████████▏| 184002/200000 [60:57:04<12:21:35, 2.78s/it] 92%|█████████▏| 184003/200000 [60:57:07<11:53:56, 2.68s/it] 92%|█████████▏| 184004/200000 [60:57:09<11:34:47, 2.61s/it] 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[INFO|configuration_utils.py:461] 2026-04-11 18:19:05,430 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-187000/config.json [INFO|configuration_utils.py:564] 2026-04-11 18:19:05,431 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-187000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-11 18:19:05,866 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-187000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-11 18:19:06,726 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-177000] due to args.save_total_limit 94%|█████████▎| 187001/200000 [62:59:18<10:23:16, 2.88s/it] 94%|█████████▎| 187002/200000 [62:59:20<9:54:37, 2.74s/it] 94%|█████████▎| 187003/200000 [62:59:23<9:34:36, 2.65s/it] 94%|█████████▎| 187004/200000 [62:59:25<9:20:37, 2.59s/it] 94%|█████████▎| 187005/200000 [62:59:28<9:10:53, 2.54s/it] 94%|█████████▎| 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[64:20:40<7:27:02, 2.44s/it][INFO|trainer.py:2881] 2026-04-11 19:40:30,829 >> Saving model checkpoint to /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-189000 [INFO|configuration_utils.py:461] 2026-04-11 19:40:30,830 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-189000/config.json [INFO|configuration_utils.py:564] 2026-04-11 19:40:30,831 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-189000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-11 19:40:31,264 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-189000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-11 19:40:32,150 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-179000] due to args.save_total_limit 95%|█████████▍| 189001/200000 [64:20:43<8:47:35, 2.88s/it] 95%|█████████▍| 189002/200000 [64:20:46<8:23:09, 2.75s/it] 95%|█████████▍| 189003/200000 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/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-192000/config.json [INFO|configuration_utils.py:564] 2026-04-11 21:42:51,719 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-192000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-11 21:42:52,137 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-192000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-11 21:42:53,027 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-182000] due to args.save_total_limit 96%|█████████▌| 192001/200000 [66:23:04<6:23:24, 2.88s/it] 96%|█████████▌| 192002/200000 [66:23:07<6:05:52, 2.74s/it] 96%|█████████▌| 192003/200000 [66:23:09<5:53:47, 2.65s/it] 96%|█████████▌| 192004/200000 [66:23:12<5:45:08, 2.59s/it] 96%|█████████▌| 192005/200000 [66:23:14<5:39:14, 2.55s/it] 96%|█████████▌| 192006/200000 [66:23:17<5:35:01, 2.51s/it] 96%|█████████▌| 192007/200000 [66:23:19<5:32:07, 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2.44s/it][INFO|trainer.py:2881] 2026-04-11 23:04:24,643 >> Saving model checkpoint to /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-194000 [INFO|configuration_utils.py:461] 2026-04-11 23:04:24,645 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-194000/config.json [INFO|configuration_utils.py:564] 2026-04-11 23:04:24,645 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-194000/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-11 23:04:25,063 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-194000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-11 23:04:25,981 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-184000] due to args.save_total_limit 97%|█████████▋| 194001/200000 [67:44:37<4:48:44, 2.89s/it] 97%|█████████▋| 194002/200000 [67:44:40<4:35:20, 2.75s/it] 97%|█████████▋| 194003/200000 [67:44:42<4:25:53, 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[INFO|modeling_utils.py:2193] 2026-04-12 03:08:54,828 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-200000/pytorch_model.bin [INFO|trainer.py:2971] 2026-04-12 03:08:55,669 >> Deleting older checkpoint [/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-190000] due to args.save_total_limit [INFO|trainer.py:1955] 2026-04-12 03:08:55,820 >> Training completed. Do not forget to share your model on huggingface.co/models =) 100%|██████████| 200000/200000 [71:49:05<00:00, 2.44s/it] 100%|██████████| 200000/200000 [71:49:05<00:00, 1.29s/it] [INFO|trainer.py:2881] 2026-04-12 03:08:55,860 >> Saving model checkpoint to /home/n5huang/dna_token/pretrain/models/len2_5120 [INFO|configuration_utils.py:461] 2026-04-12 03:08:55,862 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/config.json [INFO|configuration_utils.py:564] 2026-04-12 03:08:55,863 >> Configuration saved in /home/n5huang/dna_token/pretrain/models/len2_5120/generation_config.json [INFO|modeling_utils.py:2193] 2026-04-12 03:08:56,630 >> Model weights saved in /home/n5huang/dna_token/pretrain/models/len2_5120/pytorch_model.bin {'loss': 5.0155, 'learning_rate': 2.0842105263157895e-05, 'epoch': 9.87} {'loss': 5.024, 'learning_rate': 2.0631578947368425e-05, 'epoch': 9.97} {'loss': 5.0241, 'learning_rate': 2.0421052631578952e-05, 'epoch': 10.06} {'loss': 5.0218, 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2.105263157894737e-07, 'epoch': 19.44} {'loss': 4.9315, 'learning_rate': 0.0, 'epoch': 19.54} {'train_runtime': 258545.0504, 'train_samples_per_second': 74.262, 'train_steps_per_second': 0.774, 'train_loss': 2.48521353515625, 'epoch': 19.54} ***** train metrics ***** epoch = 19.54 train_loss = 2.4852 train_runtime = 2 days, 23:49:05.05 train_samples = 982503 train_samples_per_second = 74.262 train_steps_per_second = 0.774 04/12/2026 03:08:56 - INFO - __main__ - *** Evaluate *** [INFO|trainer.py:738] 2026-04-12 03:08:56,638 >> The following columns in the evaluation set don't have a corresponding argument in `BertForMaskedLM.forward` and have been ignored: special_tokens_mask. If special_tokens_mask are not expected by `BertForMaskedLM.forward`, you can safely ignore this message. [INFO|trainer.py:3158] 2026-04-12 03:08:56,644 >> ***** Running Evaluation ***** [INFO|trainer.py:3160] 2026-04-12 03:08:56,645 >> Num examples = 109173 [INFO|trainer.py:3163] 2026-04-12 03:08:56,645 >> Batch size = 96 0%| | 0/1138 [00:00> Dropping the following result as it does not have all the necessary fields: {'task': {'name': 'Masked Language Modeling', 'type': 'fill-mask'}, 'metrics': [{'name': 'Accuracy', 'type': 'accuracy', 'value': 0.30433709022367145}]} ***** eval metrics ***** epoch = 19.54 eval_accuracy = 0.3043 eval_loss = 4.9009 eval_runtime = 0:20:59.82 eval_samples = 109173 eval_samples_per_second = 86.657 eval_step = 200000 eval_steps_per_second = 0.903 perplexity = 134.4083 wandb: wandb: 🚀 View run toasty-breeze-3 at:  wandb: Find logs at: ../../../../data/n5huang/dna_token/output_tokens/wandb/run-20260409_031927-9ph1pkcx/logs