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[2025-10-22 16:34:24,607] [DEBUG] [axolotl.utils.config.resolve_dtype:66] [PID:2199] bf16 support detected, enabling for this configuration.
[2025-10-22 16:34:24,749] [DEBUG] [axolotl.utils.config.log_gpu_memory_usage:127] [PID:2199] baseline 0.000GB ()
[2025-10-22 16:34:24,749] [INFO] [axolotl.cli.config.load_cfg:248] [PID:2199] config:
{
"activation_offloading": false,
"adapter": "lora",
"axolotl_config_path": "config.yaml",
"base_model": "Qwen/Qwen2.5-7B-Instruct",
"base_model_config": "Qwen/Qwen2.5-7B-Instruct",
"batch_size": 16,
"bf16": true,
"capabilities": {
"bf16": true,
"compute_capability": "sm_90",
"fp8": false,
"n_gpu": 1,
"n_node": 1
},
"context_parallel_size": 1,
"dataloader_num_workers": 1,
"dataloader_pin_memory": true,
"dataloader_prefetch_factor": 256,
"dataset_processes": 32,
"datasets": [
{
"message_property_mappings": {
"content": "content",
"role": "role"
},
"path": "/workspace/fine-tuning/data/trump.json",
"trust_remote_code": false,
"type": "alpaca"
}
],
"ddp": false,
"device": "cuda:0",
"dion_rank_fraction": 1.0,
"dion_rank_multiple_of": 1,
"env_capabilities": {
"torch_version": "2.7.1"
},
"eval_batch_size": 16,
"eval_causal_lm_metrics": [
"sacrebleu",
"comet",
"ter",
"chrf"
],
"eval_max_new_tokens": 128,
"eval_table_size": 0,
"experimental_skip_move_to_device": true,
"fp16": false,
"gradient_accumulation_steps": 1,
"gradient_checkpointing": false,
"include_tkps": true,
"learning_rate": 0.0002,
"lisa_layers_attribute": "model.layers",
"load_best_model_at_end": false,
"load_in_4bit": false,
"load_in_8bit": true,
"local_rank": 0,
"lora_alpha": 16,
"lora_dropout": 0.05,
"lora_r": 8,
"lora_target_modules": [
"q_proj",
"v_proj",
"k_proj",
"o_proj",
"gate_proj",
"down_proj",
"up_proj"
],
"loraplus_lr_embedding": 1e-06,
"lr_scheduler": "cosine",
"mean_resizing_embeddings": false,
"micro_batch_size": 16,
"model_config_type": "qwen2",
"num_epochs": 1.0,
"optimizer": "adamw_bnb_8bit",
"output_dir": "./outputs/thoth_text_v2",
"pretrain_multipack_attn": true,
"profiler_steps_start": 0,
"qlora_sharded_model_loading": false,
"ray_num_workers": 1,
"resources_per_worker": {
"GPU": 1
},
"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,
"streaming_multipack_buffer_size": 10000,
"strict": false,
"tensor_parallel_size": 1,
"tiled_mlp_use_original_mlp": true,
"tokenizer_config": "Qwen/Qwen2.5-7B-Instruct",
"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_ray": false,
"val_set_size": 0.0,
"vllm": {
"device": "auto",
"dtype": "auto",
"gpu_memory_utilization": 0.9,
"host": "0.0.0.0",
"port": 8000
},
"weight_decay": 0.0,
"world_size": 1
}
[2025-10-22 16:34:25,444] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:278] [PID:2199] EOS: 151645 / <|im_end|>
[2025-10-22 16:34:25,444] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:279] [PID:2199] BOS: None / None
[2025-10-22 16:34:25,444] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:280] [PID:2199] PAD: 151643 / <|endoftext|>
[2025-10-22 16:34:25,444] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:281] [PID:2199] UNK: None / None
[2025-10-22 16:34:25,445] [INFO] [axolotl.utils.data.shared.load_preprocessed_dataset:476] [PID:2199] Unable to find prepared dataset in last_run_prepared/8eaeba3b90268710df560cd4dfe04e2d
[2025-10-22 16:34:25,445] [INFO] [axolotl.utils.data.sft._load_raw_datasets:320] [PID:2199] Loading raw datasets...
[2025-10-22 16:34:25,445] [WARNING] [axolotl.utils.data.sft._load_raw_datasets:322] [PID:2199] Processing datasets during training can lead to VRAM instability. Please pre-process your dataset using `axolotl preprocess path/to/config.yml`.
[2025-10-22 16:34:25,754] [INFO] [axolotl.utils.data.wrappers.get_dataset_wrapper:87] [PID:2199] Loading dataset: /workspace/fine-tuning/data/trump.json with base_type: alpaca and prompt_style: None
[2025-10-22 16:34:25,754] [WARNING] [datasets.arrow_dataset.map:3100] [PID:2199] num_proc must be <= 15. Reducing num_proc to 15 for dataset of size 15.
Tokenizing Prompts (num_proc=15): 0%| | 0/15 [00:00<?, ? examples/s]
Tokenizing Prompts (num_proc=15): 7%|█████ | 1/15 [00:00<00:08, 1.56 examples/s]
Tokenizing Prompts (num_proc=15): 13%|██████████▏ | 2/15 [00:00<00:04, 3.01 examples/s]
Tokenizing Prompts (num_proc=15): 27%|████████████████████▎ | 4/15 [00:00<00:01, 5.98 examples/s]
Tokenizing Prompts (num_proc=15): 47%|███████████████████████████████████▍ | 7/15 [00:01<00:00, 9.94 examples/s]
Tokenizing Prompts (num_proc=15): 60%|█████████████████████████████████████████████▌ | 9/15 [00:01<00:00, 11.64 examples/s]
Tokenizing Prompts (num_proc=15): 73%|██████████████████████████████████████████████████████▉ | 11/15 [00:01<00:00, 12.43 examples/s]
Tokenizing Prompts (num_proc=15): 87%|█████████████████████████████████████████████████████████████████ | 13/15 [00:01<00:00, 12.76 examples/s]
Tokenizing Prompts (num_proc=15): 100%|███████████████████████████████████████████████████████████████████████████| 15/15 [00:01<00:00, 14.05 examples/s]
Tokenizing Prompts (num_proc=15): 100%|███████████████████████████████████████████████████████████████████████████| 15/15 [00:01<00:00, 8.67 examples/s]
[2025-10-22 16:34:27,600] [INFO] [axolotl.utils.data.utils.handle_long_seq_in_dataset:218] [PID:2199] min_input_len: 46
[2025-10-22 16:34:27,600] [INFO] [axolotl.utils.data.utils.handle_long_seq_in_dataset:220] [PID:2199] max_input_len: 87
[2025-10-22 16:34:27,601] [WARNING] [datasets.arrow_dataset.map:3100] [PID:2199] num_proc must be <= 15. Reducing num_proc to 15 for dataset of size 15.
Dropping Long Sequences (>4096) (num_proc=15): 0%| | 0/15 [00:00<?, ? examples/s]
Dropping Long Sequences (>4096) (num_proc=15): 7%|████▏ | 1/15 [00:00<00:03, 4.29 examples/s]
Dropping Long Sequences (>4096) (num_proc=15): 100%|██████████████████████████████████████████████████████████████| 15/15 [00:00<00:00, 34.65 examples/s]
Saving the dataset (0/1 shards): 0%| | 0/15 [00:00<?, ? examples/s]
Saving the dataset (1/1 shards): 100%|██████████████████████████████████████████████████████████████████████████| 15/15 [00:00<00:00, 1508.60 examples/s]
Saving the dataset (1/1 shards): 100%|██████████████████████████████████████████████████████████████████████████| 15/15 [00:00<00:00, 1468.01 examples/s]
[2025-10-22 16:34:28,163] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:404] [PID:2199] total_num_tokens: 1_016
[2025-10-22 16:34:28,164] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:422] [PID:2199] `total_supervised_tokens: 386`
[2025-10-22 16:34:28,164] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:520] [PID:2199] total_num_steps: 1
[2025-10-22 16:34:28,164] [INFO] [axolotl.utils.data.sft._prepare_standard_dataset:121] [PID:2199] Maximum number of steps set at 1
[2025-10-22 16:34:28,208] [DEBUG] [axolotl.train.setup_model_and_tokenizer:65] [PID:2199] Loading tokenizer... Qwen/Qwen2.5-7B-Instruct
[2025-10-22 16:34:28,772] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:278] [PID:2199] EOS: 151645 / <|im_end|>
[2025-10-22 16:34:28,772] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:279] [PID:2199] BOS: None / None
[2025-10-22 16:34:28,772] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:280] [PID:2199] PAD: 151643 / <|endoftext|>
[2025-10-22 16:34:28,772] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:281] [PID:2199] UNK: None / None
[2025-10-22 16:34:28,772] [DEBUG] [axolotl.train.setup_model_and_tokenizer:74] [PID:2199] Loading model
[2025-10-22 16:34:28,893] [DEBUG] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_evaluation_loop:87] [PID:2199] Patched Trainer.evaluation_loop with nanmean loss calculation
[2025-10-22 16:34:28,895] [DEBUG] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_maybe_log_save_evaluate:138] [PID:2199] Patched Trainer._maybe_log_save_evaluate with nanmean loss calculation
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[2025-10-22 16:35:11,043] [INFO] [axolotl.loaders.model._prepare_model_for_quantization:863] [PID:2199] converting PEFT model w/ prepare_model_for_kbit_training
[2025-10-22 16:35:11,045] [INFO] [axolotl.loaders.model._configure_embedding_dtypes:345] [PID:2199] Converting modules to torch.bfloat16
[2025-10-22 16:35:11,047] [DEBUG] [axolotl.loaders.model.log_gpu_memory_usage:127] [PID:2199] Memory usage after model load 11.676GB (+11.676GB allocated, +13.172GB reserved)
trainable params: 20,185,088 || all params: 7,635,801,600 || trainable%: 0.2643
[2025-10-22 16:35:11,254] [DEBUG] [axolotl.loaders.model.log_gpu_memory_usage:127] [PID:2199] after adapters 8.565GB (+8.565GB allocated, +13.248GB reserved)
[2025-10-22 16:35:16,678] [INFO] [axolotl.train.save_initial_configs:398] [PID:2199] Pre-saving adapter config to ./outputs/thoth_text_v2...
[2025-10-22 16:35:16,678] [INFO] [axolotl.train.save_initial_configs:402] [PID:2199] Pre-saving tokenizer to ./outputs/thoth_text_v2...
[2025-10-22 16:35:16,788] [INFO] [axolotl.train.save_initial_configs:407] [PID:2199] Pre-saving model config to ./outputs/thoth_text_v2...
[2025-10-22 16:35:16,790] [INFO] [axolotl.train.execute_training:196] [PID:2199] Starting trainer...
0%| | 0/1 [00:00<?, ?it/s][2025-10-22 16:35:17,741] [WARNING] [py.warnings._showwarnmsg:110] [PID:2199] /root/miniconda3/envs/py3.11/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:186: UserWarning: MatMul8bitLt: inputs will be cast from torch.bfloat16 to float16 during quantization
warnings.warn(f"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization")
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:01<00:00, 1.18s/it]
{'loss': 3.0765, 'grad_norm': 2.254563570022583, 'learning_rate': 0.0002, 'memory/max_active (GiB)': 30.16, 'memory/max_allocated (GiB)': 30.16, 'memory/device_reserved (GiB)': 30.95, 'tokens_per_second_per_gpu': 466.19, 'epoch': 1.0}
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:01<00:00, 1.18s/it][2025-10-22 16:35:18,399] [INFO] [axolotl.core.trainers.base._save:671] [PID:2199] Saving model checkpoint to ./outputs/thoth_text_v2/checkpoint-1
{'train_runtime': 1.6797, 'train_samples_per_second': 9.525, 'train_steps_per_second': 0.595, 'train_loss': 3.0764801502227783, 'memory/max_active (GiB)': 8.67, 'memory/max_allocated (GiB)': 8.67, 'memory/device_reserved (GiB)': 30.95, 'epoch': 1.0}
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:01<00:00, 1.18s/it]
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:01<00:00, 1.68s/it]
[2025-10-22 16:35:18,999] [INFO] [axolotl.train.save_trained_model:218] [PID:2199] Training completed! Saving trained model to ./outputs/thoth_text_v2.
[2025-10-22 16:35:19,335] [INFO] [axolotl.train.save_trained_model:336] [PID:2199] Model successfully saved to ./outputs/thoth_text_v2
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