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[2026-01-04 00:10:03,594] [DEBUG] [axolotl.utils.config.resolve_dtype:66] [PID:15692] bf16 support detected, enabling for this configuration.
[2026-01-04 00:10:03,667] [DEBUG] [axolotl.utils.config.log_gpu_memory_usage:127] [PID:15692] baseline 0.000GB ()
[2026-01-04 00:10:03,668] [INFO] [axolotl.cli.config.load_cfg:259] [PID:15692] config:
{
"activation_offloading": true,
"adapter": "lora",
"axolotl_config_path": "train.yml",
"base_model": "shb777/Llama-3.3-8B-Instruct-128K",
"base_model_config": "shb777/Llama-3.3-8B-Instruct-128K",
"batch_size": 4,
"bf16": true,
"capabilities": {
"bf16": true,
"compute_capability": "sm_86",
"fp8": false,
"n_gpu": 1,
"n_node": 1
},
"chat_template": "llama3",
"context_parallel_size": 1,
"cut_cross_entropy": true,
"dataloader_num_workers": 1,
"dataloader_pin_memory": true,
"dataloader_prefetch_factor": 256,
"dataset_num_proc": 96,
"dataset_prepared_path": "dataset_prepareds",
"datasets": [
{
"chat_template": "tokenizer_default",
"message_property_mappings": {
"content": "content",
"role": "role"
},
"path": "WokeAI/polititune-tankie-warmup",
"split": "train",
"trust_remote_code": false,
"type": "chat_template"
}
],
"ddp": false,
"device": "cuda:0",
"dion_rank_fraction": 1.0,
"dion_rank_multiple_of": 1,
"env_capabilities": {
"torch_version": "2.8.0"
},
"eval_batch_size": 2,
"eval_causal_lm_metrics": [
"sacrebleu",
"comet",
"ter",
"chrf"
],
"eval_max_new_tokens": 128,
"eval_sample_packing": false,
"eval_table_size": 0,
"experimental_skip_move_to_device": true,
"flash_attention": true,
"fp16": false,
"gradient_accumulation_steps": 2,
"gradient_checkpointing": true,
"gradient_checkpointing_kwargs": {
"use_reentrant": true
},
"group_by_length": false,
"include_tkps": true,
"is_llama_derived_model": true,
"learning_rate": 1e-05,
"liger_fused_linear_cross_entropy": false,
"liger_glu_activation": true,
"liger_layer_norm": true,
"liger_rms_norm": true,
"liger_rope": true,
"lisa_layers_attribute": "model.layers",
"load_best_model_at_end": false,
"load_in_4bit": false,
"load_in_8bit": false,
"local_rank": 0,
"logging_steps": 1,
"lora_alpha": 16,
"lora_dropout": 0.35,
"lora_r": 64,
"lora_target_linear": true,
"loraplus_lr_embedding": 1e-06,
"lr_scheduler": "rex",
"max_grad_norm": 0.1,
"mean_resizing_embeddings": false,
"micro_batch_size": 2,
"model_config_type": "llama",
"num_epochs": 2.0,
"optimizer": "adamw_torch_8bit",
"otel_metrics_host": "localhost",
"otel_metrics_port": 8000,
"output_dir": "./output",
"pad_to_sequence_len": true,
"peft_use_rslora": true,
"plugins": [
"axolotl.integrations.liger.LigerPlugin",
"axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin"
],
"pretrain_multipack_attn": true,
"profiler_steps_start": 0,
"qlora_sharded_model_loading": false,
"ray_num_workers": 1,
"remove_unused_columns": false,
"resources_per_worker": {
"GPU": 1
},
"sample_packing": true,
"sample_packing_bin_size": 200,
"sample_packing_group_size": 100000,
"save_only_model": false,
"save_safetensors": true,
"sequence_len": 4096,
"shuffle_before_merging_datasets": false,
"shuffle_merged_datasets": true,
"skip_prepare_dataset": false,
"special_tokens": {
"pad_token": "<|reserved_special_token_2|>"
},
"streaming_multipack_buffer_size": 10000,
"strict": false,
"tensor_parallel_size": 1,
"tf32": false,
"tiled_mlp_use_original_mlp": true,
"tokenizer_config": "shb777/Llama-3.3-8B-Instruct-128K",
"tokenizer_save_jinja_files": true,
"torch_dtype": "torch.bfloat16",
"train_on_inputs": false,
"trl": {
"log_completions": false,
"mask_truncated_completions": false,
"ref_model_mixup_alpha": 0.9,
"ref_model_sync_steps": 64,
"scale_rewards": true,
"sync_ref_model": false,
"use_vllm": false,
"vllm_server_host": "0.0.0.0",
"vllm_server_port": 8000
},
"use_otel_metrics": false,
"use_ray": false,
"use_wandb": true,
"val_set_size": 0.0,
"vllm": {
"device": "auto",
"dtype": "auto",
"gpu_memory_utilization": 0.9,
"host": "0.0.0.0",
"port": 8000
},
"wandb_project": "newyear",
"weight_decay": 0.0,
"world_size": 1
}
[2026-01-04 00:10:03,672] [WARNING] [axolotl.cli.checks.check_user_token:46] [PID:15692] Error verifying HuggingFace token. Remember to log in using `huggingface-cli login` and get your access token from https://huggingface.co/settings/tokens if you want to use gated models or datasets.
[2026-01-04 00:10:04,197] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:285] [PID:15692] EOS: 128009 / <|eot_id|>
[2026-01-04 00:10:04,198] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:286] [PID:15692] BOS: 128000 / <|begin_of_text|>
[2026-01-04 00:10:04,198] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:287] [PID:15692] PAD: 128004 / <|reserved_special_token_2|>
[2026-01-04 00:10:04,198] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:288] [PID:15692] UNK: None / None
[2026-01-04 00:10:04,199] [INFO] [axolotl.utils.data.shared.load_preprocessed_dataset:475] [PID:15692] Loading prepared dataset from disk at dataset_prepareds/a420619428aa6c5576289a496238883a...
[2026-01-04 00:10:04,213] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:417] [PID:15692] total_num_tokens: 684_427
[2026-01-04 00:10:04,225] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:435] [PID:15692] `total_supervised_tokens: 498_319`
[2026-01-04 00:10:04,242] [DEBUG] [axolotl.utils.samplers.multipack.pack_parallel:177] [PID:15692] Using single process for pack_parallel, running sequentially.
[2026-01-04 00:10:05,245] [DEBUG] [axolotl.utils.samplers.multipack.pack_parallel:177] [PID:15692] Using single process for pack_parallel, running sequentially.
[2026-01-04 00:10:05,463] [DEBUG] [axolotl.utils.samplers.multipack.__len__:462] [PID:15692] generate_batches time: 0.21780610084533691
[2026-01-04 00:10:05,463] [DEBUG] [axolotl.utils.samplers.multipack.pack_parallel:177] [PID:15692] Using single process for pack_parallel, running sequentially.
[2026-01-04 00:10:05,685] [DEBUG] [axolotl.utils.samplers.multipack.__len__:462] [PID:15692] generate_batches time: 0.22262859344482422
[2026-01-04 00:10:05,686] [DEBUG] [axolotl.utils.samplers.multipack.pack_parallel:177] [PID:15692] Using single process for pack_parallel, running sequentially.
[2026-01-04 00:10:05,930] [DEBUG] [axolotl.utils.samplers.multipack.__len__:462] [PID:15692] generate_batches time: 0.2447659969329834
[2026-01-04 00:10:05,931] [DEBUG] [axolotl.utils.samplers.multipack.pack_parallel:177] [PID:15692] Using single process for pack_parallel, running sequentially.
[2026-01-04 00:10:06,188] [DEBUG] [axolotl.utils.samplers.multipack.__len__:462] [PID:15692] generate_batches time: 0.25751280784606934
[2026-01-04 00:10:06,211] [INFO] [axolotl.utils.samplers.multipack.calc_min_len:438] [PID:15692] gather_len_batches: [84]
[2026-01-04 00:10:06,212] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:494] [PID:15692] data_loader_len: 42
[2026-01-04 00:10:06,212] [INFO] [axolotl.utils.trainer.calc_sample_packing_eff_est:510] [PID:15692] sample_packing_eff_est across ranks: [0.9946216401599702]
[2026-01-04 00:10:06,212] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:522] [PID:15692] sample_packing_eff_est: 1.0
[2026-01-04 00:10:06,212] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:533] [PID:15692] total_num_steps: 84
[2026-01-04 00:10:06,212] [INFO] [axolotl.utils.data.sft._prepare_standard_dataset:121] [PID:15692] Maximum number of steps set at 84
[2026-01-04 00:10:06,240] [DEBUG] [axolotl.train.setup_model_and_tokenizer:70] [PID:15692] loading tokenizer... shb777/Llama-3.3-8B-Instruct-128K
[2026-01-04 00:10:06,719] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:285] [PID:15692] EOS: 128009 / <|eot_id|>
[2026-01-04 00:10:06,719] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:286] [PID:15692] BOS: 128000 / <|begin_of_text|>
[2026-01-04 00:10:06,719] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:287] [PID:15692] PAD: 128004 / <|reserved_special_token_2|>
[2026-01-04 00:10:06,719] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:288] [PID:15692] UNK: None / None
[2026-01-04 00:10:06,719] [DEBUG] [axolotl.train.setup_model_and_tokenizer:82] [PID:15692] Loading model
[2026-01-04 00:10:06,766] [DEBUG] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_evaluation_loop:87] [PID:15692] Patched Trainer.evaluation_loop with nanmean loss calculation
[2026-01-04 00:10:06,767] [DEBUG] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_maybe_log_save_evaluate:138] [PID:15692] Patched Trainer._maybe_log_save_evaluate with nanmean loss calculation
[2026-01-04 00:10:06,768] [INFO] [axolotl.loaders.patch_manager._apply_multipack_patches:344] [PID:15692] Applying multipack dataloader patch for sample packing...
[2026-01-04 00:10:06,873] [INFO] [axolotl.integrations.liger.plugin.pre_model_load:98] [PID:15692] Applying LIGER to llama with kwargs: {'rope': True, 'cross_entropy': None, 'fused_linear_cross_entropy': False, 'rms_norm': True, 'swiglu': True}
[2026-01-04 00:10:07,074] [INFO] [axolotl.integrations.cut_cross_entropy.pre_model_load:94] [PID:15692] Applying Cut Cross Entropy to model type: llama
Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]
Loading checkpoint shards: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 4/4 [00:00<00:00, 133.41it/s]
[2026-01-04 00:10:09,611] [INFO] [axolotl.loaders.model._configure_embedding_dtypes:347] [PID:15692] Converting modules to torch.bfloat16
[2026-01-04 00:10:10,928] [DEBUG] [axolotl.loaders.model.log_gpu_memory_usage:127] [PID:15692] Memory usage after model load 0.000GB ()
[2026-01-04 00:10:10,929] [INFO] [axolotl.loaders.adapter.load_lora:81] [PID:15692] found linear modules: ['down_proj', 'gate_proj', 'k_proj', 'o_proj', 'q_proj', 'up_proj', 'v_proj']
trainable params: 167,772,160 || all params: 8,198,033,408 || trainable%: 2.0465
[2026-01-04 00:10:12,458] [DEBUG] [axolotl.loaders.model.log_gpu_memory_usage:127] [PID:15692] after adapters 0.000GB ()
[2026-01-04 00:10:20,773] [INFO] [axolotl.train.save_initial_configs:413] [PID:15692] Pre-saving adapter config to ./output...
[2026-01-04 00:10:20,773] [INFO] [axolotl.train.save_initial_configs:417] [PID:15692] Pre-saving tokenizer to ./output...
[2026-01-04 00:10:20,929] [INFO] [axolotl.train.save_initial_configs:422] [PID:15692] Pre-saving model config to ./output...
[2026-01-04 00:10:20,931] [INFO] [axolotl.train.execute_training:212] [PID:15692] Starting trainer...
[2026-01-04 00:10:22,337] [DEBUG] [axolotl.utils.samplers.multipack.__len__:462] [PID:15692] generate_batches time: 0.49930906295776367
[2026-01-04 00:10:22,811] [DEBUG] [axolotl.utils.samplers.multipack.__len__:462] [PID:15692] generate_batches time: 0.47399091720581055
[2026-01-04 00:10:23,297] [DEBUG] [axolotl.utils.samplers.multipack.__len__:462] [PID:15692] generate_batches time: 0.4854564666748047
[2026-01-04 00:10:23,802] [DEBUG] [axolotl.utils.samplers.multipack.__len__:462] [PID:15692] generate_batches time: 0.5046358108520508
[2026-01-04 00:10:23,802] [INFO] [axolotl.utils.samplers.multipack.calc_min_len:438] [PID:15692] gather_len_batches: [84]
[34m[1mwandb[0m: (1) Create a W&B account
[34m[1mwandb[0m: (2) Use an existing W&B account
[34m[1mwandb[0m: (3) Don't visualize my results
[34m[1mwandb[0m: Enter your choice:[34m[1mwandb[0m: You chose 'Use an existing W&B account'
[34m[1mwandb[0m: Logging into https://api.wandb.ai. (Learn how to deploy a W&B server locally: https://wandb.me/wandb-server)
[34m[1mwandb[0m: Find your API key here: https://wandb.ai/authorize?ref=models
[34m[1mwandb[0m: Paste an API key from your profile and hit enter:[34m[1mwandb[0m: No netrc file found, creating one.
[34m[1mwandb[0m: Appending key for api.wandb.ai to your netrc file: /root/.netrc
[34m[1mwandb[0m: Currently logged in as: [33mfizzz[0m ([33mfizzzz[0m) to [32mhttps://api.wandb.ai[0m. Use [1m`wandb login --relogin`[0m to force relogin
[34m[1mwandb[0m: [38;5;178mβ’Ώ[0m Waiting for wandb.init()...
[Am[2K
[34m[1mwandb[0m: [38;5;178mβ£»[0m Waiting for wandb.init()...
[Am[2K
[34m[1mwandb[0m: Tracking run with wandb version 0.23.1
[34m[1mwandb[0m: Run data is saved locally in [35m[1m/root/axolotl/wandb/run-20260104_001243-myor4kbd[0m
[34m[1mwandb[0m: Run [1m`wandb offline`[0m to turn off syncing.
[34m[1mwandb[0m: Syncing run [33mdistinctive-firebrand-5[0m
[34m[1mwandb[0m: βοΈ View project at [34m[4mhttps://wandb.ai/fizzzz/newyear[0m
[34m[1mwandb[0m: π View run at [34m[4mhttps://wandb.ai/fizzzz/newyear/runs/myor4kbd[0m
[34m[1mwandb[0m: Detected [huggingface_hub.inference] in use.
[34m[1mwandb[0m: Use W&B Weave for improved LLM call tracing. Install Weave with `pip install weave` then add `import weave` to the top of your script.
[34m[1mwandb[0m: For more information, check out the docs at: https://weave-docs.wandb.ai/
[34m[1mwandb[0m: [33mWARNING[0m Saving files without folders. If you want to preserve subdirectories pass base_path to wandb.save, i.e. wandb.save("/mnt/folder/file.h5", base_path="/mnt")
[34m[1mwandb[0m: [33mWARNING[0m Symlinked 1 file into the W&B run directory; call wandb.save again to sync new files.
[2026-01-04 00:12:45,380] [INFO] [axolotl.utils.callbacks.on_train_begin:757] [PID:15692] The Axolotl config has been saved to the WandB run under files.
0%| | 0/84 [00:00<?, ?it/s]
1%|ββ | 1/84 [00:36<50:25, 36.45s/it]
{'loss': 3.0634, 'grad_norm': 8.193868637084961, 'learning_rate': 4.999999873689376e-06, 'ppl': 21.40019, 'memory/max_active (GiB)': 20.05, 'memory/max_allocated (GiB)': 20.05, 'memory/device_reserved (GiB)': 20.62, 'tokens/train_per_sec_per_gpu': 155.38671875, 'epoch': 0.02, 'tokens/total': 16384.0, 'tokens/trainable': 9972.0}
1%|ββ | 1/84 [00:36<50:25, 36.45s/it]
2%|ββββ | 2/84 [00:53<33:55, 24.83s/it]
{'loss': 3.2197, 'grad_norm': 8.957365036010742, 'learning_rate': 9.999999747378752e-06, 'ppl': 25.02061, 'memory/max_active (GiB)': 20.44, 'memory/max_allocated (GiB)': 20.44, 'memory/device_reserved (GiB)': 20.87, 'tokens/train_per_sec_per_gpu': 364.190185546875, 'epoch': 0.05, 'tokens/total': 32768.0, 'tokens/trainable': 21140.0}
2%|ββββ | 2/84 [00:53<33:55, 24.83s/it]
4%|βββββββ | 3/84 [01:08<27:24, 20.31s/it]
{'loss': 3.0878, 'grad_norm': 7.201009273529053, 'learning_rate': 9.987669727706816e-06, 'ppl': 21.92878, 'memory/max_active (GiB)': 20.37, 'memory/max_allocated (GiB)': 20.37, 'memory/device_reserved (GiB)': 20.87, 'tokens/train_per_sec_per_gpu': 446.0367736816406, 'epoch': 0.07, 'tokens/total': 49152.0, 'tokens/trainable': 33455.0}
4%|βββββββ | 3/84 [01:08<27:24, 20.31s/it]
5%|βββββββββ | 4/84 [01:22<24:13, 18.17s/it]
{'loss': 3.0947, 'grad_norm': 6.2549729347229, 'learning_rate': 9.97506231215084e-06, 'ppl': 22.08061, 'memory/max_active (GiB)': 20.37, 'memory/max_allocated (GiB)': 20.37, 'memory/device_reserved (GiB)': 20.87, 'tokens/train_per_sec_per_gpu': 355.3751220703125, 'epoch': 0.1, 'tokens/total': 65536.0, 'tokens/trainable': 44394.0}
5%|βββββββββ | 4/84 [01:22<24:13, 18.17s/it]
6%|βββββββββββ | 5/84 [01:39<23:21, 17.74s/it]
{'loss': 2.6876, 'grad_norm': 5.082422733306885, 'learning_rate': 9.962168405763805e-06, 'ppl': 14.69636, 'memory/max_active (GiB)': 20.31, 'memory/max_allocated (GiB)': 20.31, 'memory/device_reserved (GiB)': 20.87, 'tokens/train_per_sec_per_gpu': 351.228515625, 'epoch': 0.12, 'tokens/total': 81920.0, 'tokens/trainable': 56961.0}
6%|βββββββββββ | 5/84 [01:39<23:21, 17.74s/it]
7%|βββββββββββββ | 6/84 [01:54<21:49, 16.78s/it]
{'loss': 3.0661, 'grad_norm': 4.808957099914551, 'learning_rate': 9.948978913598694e-06, 'ppl': 21.45805, 'memory/max_active (GiB)': 20.31, 'memory/max_allocated (GiB)': 20.31, 'memory/device_reserved (GiB)': 20.87, 'tokens/train_per_sec_per_gpu': 418.3861083984375, 'epoch': 0.14, 'tokens/total': 98304.0, 'tokens/trainable': 69788.0}
7%|βββββββββββββ | 6/84 [01:54<21:49, 16.78s/it]
8%|βββββββββββββββ | 7/84 [02:09<20:46, 16.19s/it]
{'loss': 2.7881, 'grad_norm': 3.901789426803589, 'learning_rate': 9.935483831213787e-06, 'ppl': 16.25012, 'memory/max_active (GiB)': 20.44, 'memory/max_allocated (GiB)': 20.44, 'memory/device_reserved (GiB)': 20.87, 'tokens/train_per_sec_per_gpu': 364.1433410644531, 'epoch': 0.17, 'tokens/total': 114688.0, 'tokens/trainable': 81854.0}
8%|βββββββββββββββ | 7/84 [02:09<20:46, 16.19s/it]
10%|βββββββββββββββββ | 8/84 [02:24<20:00, 15.80s/it]
{'loss': 2.556, 'grad_norm': 3.0737860202789307, 'learning_rate': 9.921671335177962e-06, 'ppl': 12.88418, 'memory/max_active (GiB)': 20.5, 'memory/max_allocated (GiB)': 20.5, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 393.31671142578125, 'epoch': 0.19, 'tokens/total': 131072.0, 'tokens/trainable': 94072.0}
10%|βββββββββββββββββ | 8/84 [02:24<20:00, 15.80s/it]
11%|βββββββββββββββββββ | 9/84 [02:39<19:25, 15.54s/it]
{'loss': 2.8264, 'grad_norm': 2.6989502906799316, 'learning_rate': 9.907529602060094e-06, 'ppl': 16.88457, 'memory/max_active (GiB)': 20.43, 'memory/max_allocated (GiB)': 20.43, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 420.95263671875, 'epoch': 0.21, 'tokens/total': 147456.0, 'tokens/trainable': 106403.0}
11%|βββββββββββββββββββ | 9/84 [02:39<19:25, 15.54s/it]
12%|βββββββββββββββββββββ | 10/84 [02:54<18:59, 15.39s/it]
{'loss': 2.7276, 'grad_norm': 1.9797707796096802, 'learning_rate': 9.893047717923764e-06, 'ppl': 15.29613, 'memory/max_active (GiB)': 20.44, 'memory/max_allocated (GiB)': 20.44, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 435.0211181640625, 'epoch': 0.24, 'tokens/total': 163840.0, 'tokens/trainable': 119564.0}
12%|βββββββββββββββββββββ | 10/84 [02:54<18:59, 15.39s/it]
13%|βββββββββββββββββββββββ | 11/84 [03:09<18:36, 15.29s/it]
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13%|βββββββββββββββββββββββ | 11/84 [03:09<18:36, 15.29s/it]
14%|βββββββββββββββββββββββββ | 12/84 [03:24<18:16, 15.23s/it]
{'loss': 2.7597, 'grad_norm': 1.589630126953125, 'learning_rate': 9.863013474387117e-06, 'ppl': 15.7951, 'memory/max_active (GiB)': 20.44, 'memory/max_allocated (GiB)': 20.44, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 436.2579345703125, 'epoch': 0.29, 'tokens/total': 196608.0, 'tokens/trainable': 141402.0}
14%|βββββββββββββββββββββββββ | 12/84 [03:24<18:16, 15.23s/it]
15%|βββββββββββββββββββββββββββ | 13/84 [03:39<17:56, 15.16s/it]
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15%|βββββββββββββββββββββββββββ | 13/84 [03:39<17:56, 15.16s/it]
17%|βββββββββββββββββββββββββββββ | 14/84 [03:55<17:39, 15.13s/it]
{'loss': 2.3513, 'grad_norm': 1.4143847227096558, 'learning_rate': 9.831460374698509e-06, 'ppl': 10.49921, 'memory/max_active (GiB)': 20.43, 'memory/max_allocated (GiB)': 20.43, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 394.7943115234375, 'epoch': 0.33, 'tokens/total': 229376.0, 'tokens/trainable': 165183.0}
17%|βββββββββββββββββββββββββββββ | 14/84 [03:55<17:39, 15.13s/it]
18%|βββββββββββββββββββββββββββββββ | 15/84 [04:10<17:23, 15.13s/it]
{'loss': 2.7007, 'grad_norm': 1.272851586341858, 'learning_rate': 9.815078556130175e-06, 'ppl': 14.89015, 'memory/max_active (GiB)': 20.44, 'memory/max_allocated (GiB)': 20.44, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 408.2015380859375, 'epoch': 0.36, 'tokens/total': 245760.0, 'tokens/trainable': 176902.0}
18%|βββββββββββββββββββββββββββββββ | 15/84 [04:10<17:23, 15.13s/it]
19%|βββββββββββββββββββββββββββββββββ | 16/84 [04:25<17:07, 15.11s/it]
{'loss': 2.6622, 'grad_norm': 1.1848429441452026, 'learning_rate': 9.79827109404141e-06, 'ppl': 14.32778, 'memory/max_active (GiB)': 20.31, 'memory/max_allocated (GiB)': 20.31, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 425.4239501953125, 'epoch': 0.38, 'tokens/total': 262144.0, 'tokens/trainable': 189732.0}
19%|βββββββββββββββββββββββββββββββββ | 16/84 [04:25<17:07, 15.11s/it]
20%|βββββββββββββββββββββββββββββββββββ | 17/84 [04:40<16:50, 15.08s/it]
{'loss': 2.7354, 'grad_norm': 1.4691566228866577, 'learning_rate': 9.781021617527585e-06, 'ppl': 15.41591, 'memory/max_active (GiB)': 20.44, 'memory/max_allocated (GiB)': 20.44, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 288.30322265625, 'epoch': 0.4, 'tokens/total': 278528.0, 'tokens/trainable': 199657.0}
20%|βββββββββββββββββββββββββββββββββββ | 17/84 [04:40<16:50, 15.08s/it]
21%|βββββββββββββββββββββββββββββββββββββ | 18/84 [04:55<16:33, 15.06s/it]
{'loss': 2.5652, 'grad_norm': 1.199852466583252, 'learning_rate': 9.763312846189365e-06, 'ppl': 13.00326, 'memory/max_active (GiB)': 20.5, 'memory/max_allocated (GiB)': 20.5, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 437.531982421875, 'epoch': 0.43, 'tokens/total': 294912.0, 'tokens/trainable': 211618.0}
21%|βββββββββββββββββββββββββββββββββββββ | 18/84 [04:55<16:33, 15.06s/it]
23%|βββββββββββββββββββββββββββββββββββββββ | 19/84 [05:10<16:18, 15.05s/it]
{'loss': 2.4957, 'grad_norm': 1.1276423931121826, 'learning_rate': 9.745127499627415e-06, 'ppl': 12.13022, 'memory/max_active (GiB)': 20.43, 'memory/max_allocated (GiB)': 20.43, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 419.6016540527344, 'epoch': 0.45, 'tokens/total': 311296.0, 'tokens/trainable': 223722.0}
23%|βββββββββββββββββββββββββββββββββββββββ | 19/84 [05:10<16:18, 15.05s/it]
24%|βββββββββββββββββββββββββββββββββββββββββ | 20/84 [05:25<16:03, 15.05s/it]
{'loss': 2.5416, 'grad_norm': 1.1429506540298462, 'learning_rate': 9.726443749968894e-06, 'ppl': 12.69997, 'memory/max_active (GiB)': 20.44, 'memory/max_allocated (GiB)': 20.44, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 474.4263000488281, 'epoch': 0.48, 'tokens/total': 327680.0, 'tokens/trainable': 236639.0}
24%|βββββββββββββββββββββββββββββββββββββββββ | 20/84 [05:25<16:03, 15.05s/it]
25%|βββββββββββββββββββββββββββββββββββββββββββ | 21/84 [05:40<15:48, 15.05s/it]
{'loss': 2.437, 'grad_norm': 0.9757459759712219, 'learning_rate': 9.707241588330362e-06, 'ppl': 11.43867, 'memory/max_active (GiB)': 20.31, 'memory/max_allocated (GiB)': 20.31, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 408.1600341796875, 'epoch': 0.5, 'tokens/total': 344064.0, 'tokens/trainable': 248033.0}
25%|βββββββββββββββββββββββββββββββββββββββββββ | 21/84 [05:40<15:48, 15.05s/it]
26%|βββββββββββββββββββββββββββββββββββββββββββββ | 22/84 [05:55<15:34, 15.08s/it]
{'loss': 2.2622, 'grad_norm': 0.9250922799110413, 'learning_rate': 9.687500096333679e-06, 'ppl': 9.6042, 'memory/max_active (GiB)': 20.44, 'memory/max_allocated (GiB)': 20.44, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 341.8017578125, 'epoch': 0.52, 'tokens/total': 360448.0, 'tokens/trainable': 259928.0}
26%|βββββββββββββββββββββββββββββββββββββββββββββ | 22/84 [05:55<15:34, 15.08s/it]
27%|βββββββββββββββββββββββββββββββββββββββββββββββ | 23/84 [06:10<15:20, 15.10s/it]
{'loss': 2.6973, 'grad_norm': 1.0023396015167236, 'learning_rate': 9.667194717621896e-06, 'ppl': 14.83961, 'memory/max_active (GiB)': 20.5, 'memory/max_allocated (GiB)': 20.5, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 456.94940185546875, 'epoch': 0.55, 'tokens/total': 376832.0, 'tokens/trainable': 273229.0}
27%|βββββββββββββββββββββββββββββββββββββββββββββββ | 23/84 [06:10<15:20, 15.10s/it]
29%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 24/84 [06:25<15:05, 15.09s/it]
{'loss': 2.4554, 'grad_norm': 0.8203016519546509, 'learning_rate': 9.646301805332769e-06, 'ppl': 11.65109, 'memory/max_active (GiB)': 20.43, 'memory/max_allocated (GiB)': 20.43, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 377.00543212890625, 'epoch': 0.57, 'tokens/total': 393216.0, 'tokens/trainable': 285582.0}
29%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 24/84 [06:25<15:05, 15.09s/it]
30%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 25/84 [06:40<14:48, 15.06s/it]
{'loss': 2.4833, 'grad_norm': 0.9041063785552979, 'learning_rate': 9.624795893614646e-06, 'ppl': 11.98074, 'memory/max_active (GiB)': 20.44, 'memory/max_allocated (GiB)': 20.44, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 307.10601806640625, 'epoch': 0.6, 'tokens/total': 409600.0, 'tokens/trainable': 296666.0}
30%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 25/84 [06:40<14:48, 15.06s/it]
31%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 26/84 [06:55<14:34, 15.07s/it]
{'loss': 2.5628, 'grad_norm': 0.9094843864440918, 'learning_rate': 9.602648788131773e-06, 'ppl': 12.97209, 'memory/max_active (GiB)': 20.31, 'memory/max_allocated (GiB)': 20.31, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 424.59381103515625, 'epoch': 0.62, 'tokens/total': 425984.0, 'tokens/trainable': 309496.0}
31%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 26/84 [06:55<14:34, 15.07s/it]
32%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 27/84 [07:10<14:19, 15.07s/it]
{'loss': 2.5322, 'grad_norm': 0.9065321683883667, 'learning_rate': 9.579831385053694e-06, 'ppl': 12.58115, 'memory/max_active (GiB)': 20.44, 'memory/max_allocated (GiB)': 20.44, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 447.19561767578125, 'epoch': 0.64, 'tokens/total': 442368.0, 'tokens/trainable': 323050.0}
32%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 27/84 [07:10<14:19, 15.07s/it]
33%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 28/84 [07:25<14:03, 15.06s/it]
{'loss': 2.4975, 'grad_norm': 0.9096329212188721, 'learning_rate': 9.55631367105525e-06, 'ppl': 12.15208, 'memory/max_active (GiB)': 20.5, 'memory/max_allocated (GiB)': 20.5, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 276.995361328125, 'epoch': 0.67, 'tokens/total': 458752.0, 'tokens/trainable': 332229.0}
33%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 28/84 [07:25<14:03, 15.06s/it]
35%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 29/84 [07:41<13:48, 15.07s/it]
{'loss': 2.2896, 'grad_norm': 0.811943531036377, 'learning_rate': 9.532061994832475e-06, 'ppl': 9.87099, 'memory/max_active (GiB)': 20.43, 'memory/max_allocated (GiB)': 20.43, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 331.5038146972656, 'epoch': 0.69, 'tokens/total': 475136.0, 'tokens/trainable': 342910.0}
35%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 29/84 [07:41<13:48, 15.07s/it]
36%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 30/84 [07:56<13:32, 15.05s/it]
{'loss': 2.1711, 'grad_norm': 0.7714135646820068, 'learning_rate': 9.507041795586701e-06, 'ppl': 8.76792, 'memory/max_active (GiB)': 20.44, 'memory/max_allocated (GiB)': 20.44, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 378.57464599609375, 'epoch': 0.71, 'tokens/total': 491520.0, 'tokens/trainable': 354990.0}
36%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 30/84 [07:56<13:32, 15.05s/it]
37%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 31/84 [08:11<13:18, 15.06s/it]
{'loss': 2.5228, 'grad_norm': 0.7664998769760132, 'learning_rate': 9.48121669352986e-06, 'ppl': 12.46345, 'memory/max_active (GiB)': 20.31, 'memory/max_allocated (GiB)': 20.31, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 419.0357666015625, 'epoch': 0.74, 'tokens/total': 507904.0, 'tokens/trainable': 368404.0}
37%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 31/84 [08:11<13:18, 15.06s/it]
38%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 32/84 [08:26<13:03, 15.06s/it]
{'loss': 2.4413, 'grad_norm': 0.7703967094421387, 'learning_rate': 9.454544851905666e-06, 'ppl': 11.48797, 'memory/max_active (GiB)': 20.44, 'memory/max_allocated (GiB)': 20.44, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 387.70343017578125, 'epoch': 0.76, 'tokens/total': 524288.0, 'tokens/trainable': 381274.0}
38%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 32/84 [08:26<13:03, 15.06s/it]
39%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 33/84 [08:41<12:47, 15.04s/it]
{'loss': 2.3928, 'grad_norm': 0.8420023918151855, 'learning_rate': 9.426987162441947e-06, 'ppl': 10.94409, 'memory/max_active (GiB)': 20.5, 'memory/max_allocated (GiB)': 20.5, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 350.9320983886719, 'epoch': 0.79, 'tokens/total': 540672.0, 'tokens/trainable': 392843.0}
39%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 33/84 [08:41<12:47, 15.04s/it]
40%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 34/84 [08:56<12:33, 15.07s/it]
{'loss': 2.4511, 'grad_norm': 0.7319009900093079, 'learning_rate': 9.398496331414208e-06, 'ppl': 11.6011, 'memory/max_active (GiB)': 20.44, 'memory/max_allocated (GiB)': 20.44, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 461.1392822265625, 'epoch': 0.81, 'tokens/total': 557056.0, 'tokens/trainable': 406127.0}
40%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 34/84 [08:56<12:33, 15.07s/it]
42%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 35/84 [09:11<12:18, 15.07s/it]
{'loss': 2.6036, 'grad_norm': 0.845214307308197, 'learning_rate': 9.369024155603256e-06, 'ppl': 13.51229, 'memory/max_active (GiB)': 20.44, 'memory/max_allocated (GiB)': 20.44, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 363.6831359863281, 'epoch': 0.83, 'tokens/total': 573440.0, 'tokens/trainable': 416879.0}
42%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 35/84 [09:11<12:18, 15.07s/it]
43%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 36/84 [09:26<12:02, 15.06s/it]
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43%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 36/84 [09:26<12:02, 15.06s/it]
44%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 37/84 [09:41<11:49, 15.09s/it]
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44%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 37/84 [09:41<11:49, 15.09s/it]
45%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 38/84 [09:56<11:33, 15.07s/it]
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45%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 38/84 [09:56<11:33, 15.07s/it]
46%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 39/84 [10:11<11:17, 15.05s/it]
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46%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 39/84 [10:11<11:17, 15.05s/it]
48%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 40/84 [10:26<11:02, 15.05s/it]
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48%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 40/84 [10:26<11:02, 15.05s/it]
49%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 41/84 [10:41<10:47, 15.05s/it]
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49%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 41/84 [10:41<10:47, 15.05s/it]
50%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 42/84 [10:56<10:32, 15.07s/it]
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50%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 42/84 [10:56<10:32, 15.07s/it][2026-01-04 00:23:42,204] [INFO] [axolotl.core.trainers.base._save:722] [PID:15692] Saving model checkpoint to ./output/checkpoint-42
51%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 43/84 [11:15<11:01, 16.15s/it]
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51%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 43/84 [11:15<11:01, 16.15s/it]
52%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 44/84 [11:30<10:33, 15.83s/it]
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52%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 44/84 [11:30<10:33, 15.83s/it]
54%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 45/84 [11:45<10:07, 15.58s/it]
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54%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 45/84 [11:45<10:07, 15.58s/it]
55%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 46/84 [12:00<09:45, 15.42s/it]
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55%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 46/84 [12:00<09:45, 15.42s/it]
56%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 47/84 [12:15<09:27, 15.33s/it]
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56%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 47/84 [12:15<09:27, 15.33s/it]
57%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 48/84 [12:30<09:10, 15.28s/it]
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57%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 48/84 [12:30<09:10, 15.28s/it]
58%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 49/84 [12:46<08:53, 15.24s/it]
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58%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 49/84 [12:46<08:53, 15.24s/it]
60%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 50/84 [13:01<08:37, 15.21s/it]
{'loss': 2.287, 'grad_norm': 0.7534531950950623, 'learning_rate': 8.762885954638477e-06, 'ppl': 9.84536, 'memory/max_active (GiB)': 20.44, 'memory/max_allocated (GiB)': 20.44, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 460.1733703613281, 'epoch': 1.19, 'tokens/total': 819200.0, 'tokens/trainable': 593415.0}
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61%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 51/84 [13:16<08:21, 15.18s/it]
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62%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 52/84 [13:31<08:04, 15.16s/it]
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63%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 53/84 [13:46<07:49, 15.14s/it]
{'loss': 2.208, 'grad_norm': 0.7909743189811707, 'learning_rate': 8.587257980252616e-06, 'ppl': 9.0975, 'memory/max_active (GiB)': 20.5, 'memory/max_allocated (GiB)': 20.5, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 342.66082763671875, 'epoch': 1.26, 'tokens/total': 868352.0, 'tokens/trainable': 628294.0}
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64%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 54/84 [14:01<07:33, 15.12s/it]
{'loss': 2.0099, 'grad_norm': 0.9540871977806091, 'learning_rate': 8.522727512172423e-06, 'ppl': 7.46257, 'memory/max_active (GiB)': 20.43, 'memory/max_allocated (GiB)': 20.43, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 331.34002685546875, 'epoch': 1.29, 'tokens/total': 884736.0, 'tokens/trainable': 639131.0}
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65%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 55/84 [14:16<07:18, 15.11s/it]
{'loss': 2.1202, 'grad_norm': 0.7127824425697327, 'learning_rate': 8.454810085822828e-06, 'ppl': 8.3328, 'memory/max_active (GiB)': 20.44, 'memory/max_allocated (GiB)': 20.44, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 309.6125793457031, 'epoch': 1.31, 'tokens/total': 901120.0, 'tokens/trainable': 650860.0}
65%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 55/84 [14:16<07:18, 15.11s/it]
67%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 56/84 [14:31<07:02, 15.08s/it]
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68%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 57/84 [14:46<06:47, 15.10s/it]
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69%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 58/84 [15:01<06:32, 15.10s/it]
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70%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 59/84 [15:17<06:17, 15.09s/it]
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71%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 60/84 [15:32<06:01, 15.08s/it]
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73%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 61/84 [15:47<05:47, 15.10s/it]
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75%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 63/84 [16:17<05:16, 15.09s/it]
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76%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 64/84 [16:32<05:01, 15.06s/it]
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77%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 65/84 [16:47<04:46, 15.07s/it]
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79%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 66/84 [17:02<04:31, 15.06s/it]
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80%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 67/84 [17:17<04:16, 15.07s/it]
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81%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 68/84 [17:32<04:01, 15.09s/it]
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82%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 69/84 [17:47<03:46, 15.11s/it]
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83%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 70/84 [18:02<03:31, 15.12s/it]
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85%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 71/84 [18:18<03:16, 15.14s/it]
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86%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 72/84 [18:33<03:01, 15.15s/it]
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86%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 72/84 [18:33<03:01, 15.15s/it]
87%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 73/84 [18:48<02:46, 15.13s/it]
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87%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 73/84 [18:48<02:46, 15.13s/it]
88%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 74/84 [19:03<02:31, 15.13s/it]
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88%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 74/84 [19:03<02:31, 15.13s/it]
89%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 75/84 [19:18<02:15, 15.10s/it]
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89%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 75/84 [19:18<02:15, 15.10s/it]
90%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 76/84 [19:33<02:00, 15.11s/it]
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90%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 76/84 [19:33<02:00, 15.11s/it]
92%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 77/84 [19:48<01:46, 15.16s/it]
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92%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 77/84 [19:48<01:46, 15.16s/it]
93%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 78/84 [20:04<01:30, 15.16s/it]
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93%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 78/84 [20:04<01:30, 15.16s/it]
94%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 79/84 [20:19<01:15, 15.17s/it]
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94%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 79/84 [20:19<01:15, 15.17s/it]
95%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 80/84 [20:34<01:00, 15.18s/it]
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95%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 80/84 [20:34<01:00, 15.18s/it]
96%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 81/84 [20:49<00:45, 15.18s/it]
{'loss': 2.2245, 'grad_norm': 0.7918537259101868, 'learning_rate': 2.7522935397428228e-06, 'ppl': 9.24886, 'memory/max_active (GiB)': 20.31, 'memory/max_allocated (GiB)': 20.31, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 347.5594787597656, 'epoch': 1.93, 'tokens/total': 1327104.0, 'tokens/trainable': 959572.0}
96%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 81/84 [20:49<00:45, 15.18s/it]
98%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 82/84 [21:04<00:30, 15.19s/it]
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98%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 82/84 [21:04<00:30, 15.19s/it]
99%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 83/84 [21:20<00:15, 15.19s/it]
{'loss': 2.13, 'grad_norm': 0.7520664930343628, 'learning_rate': 1.0989010661432985e-06, 'ppl': 8.41487, 'memory/max_active (GiB)': 20.5, 'memory/max_allocated (GiB)': 20.5, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 448.2036437988281, 'epoch': 1.98, 'tokens/total': 1359872.0, 'tokens/trainable': 985757.0}
99%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 83/84 [21:20<00:15, 15.19s/it]
100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 84/84 [21:35<00:00, 15.20s/it]
{'loss': 2.2931, 'grad_norm': 0.9194205403327942, 'learning_rate': 0.0, 'ppl': 9.9056, 'memory/max_active (GiB)': 20.43, 'memory/max_allocated (GiB)': 20.43, 'memory/device_reserved (GiB)': 20.93, 'tokens/train_per_sec_per_gpu': 277.64056396484375, 'epoch': 2.0, 'tokens/total': 1376256.0, 'tokens/trainable': 996638.0}
100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 84/84 [21:35<00:00, 15.20s/it][2026-01-04 00:34:20,737] [INFO] [axolotl.core.trainers.base._save:722] [PID:15692] Saving model checkpoint to ./output/checkpoint-84
{'train_runtime': 1438.4013, 'train_samples_per_second': 0.234, 'train_steps_per_second': 0.058, 'train_loss': 2.380285389366604, 'memory/max_active (GiB)': 15.96, 'memory/max_allocated (GiB)': 15.96, 'memory/device_reserved (GiB)': 20.93, 'epoch': 2.0, 'tokens/train_per_sec_per_gpu': 0.0, 'tokens/total': 1376256.0, 'tokens/trainable': 996638.0}
100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 84/84 [21:36<00:00, 15.20s/it]
100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 84/84 [21:36<00:00, 15.44s/it]
[2026-01-04 00:34:22,468] [INFO] [axolotl.train.save_trained_model:233] [PID:15692] Training completed! Saving trained model to ./output.
[2026-01-04 00:34:23,290] [INFO] [axolotl.train.save_trained_model:351] [PID:15692] Model successfully saved to ./output
[0m |