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ares56-test-text
File size: 12,699 Bytes 
2fac470
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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[2025-09-09 07:47:05,190] [INFO] [axolotl.cli.config.load_cfg:245] [PID:37] [RANK:0] config:
{
  "activation_offloading": false,
  "adapter": "lora",
  "attn_implementation": "eager",
  "axolotl_config_path": "/app/checkpoints/instr-fast-052b/ares56-test-text/train_instr-fast-052b.yml",
  "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
  "base_model_config": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
  "batch_size": 1,
  "bf16": false,
  "capabilities": {
    "bf16": false,
    "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": "/app/axolotl/data/mini_instruct_50.jsonl",
      "trust_remote_code": false,
      "type": "alpaca"
    }
  ],
  "ddp": false,
  "device": "cpu",
  "device_map": "auto",
  "dion_rank_fraction": 1.0,
  "dion_rank_multiple_of": 1,
  "env_capabilities": {
    "torch_version": "2.6.0"
  },
  "eval_batch_size": 1,
  "eval_causal_lm_metrics": [
    "sacrebleu",
    "comet",
    "ter",
    "chrf"
  ],
  "eval_max_new_tokens": 128,
  "eval_steps": 0,
  "eval_table_size": 0,
  "experimental_skip_move_to_device": true,
  "fp16": false,
  "gradient_accumulation_steps": 1,
  "gradient_checkpointing": false,
  "is_llama_derived_model": true,
  "learning_rate": 0.0002,
  "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": 0.05,
  "lora_r": 8,
  "lora_target_modules": [
    "q_proj",
    "k_proj",
    "v_proj",
    "o_proj",
    "gate_proj",
    "up_proj",
    "down_proj"
  ],
  "loraplus_lr_embedding": 1e-06,
  "lr_scheduler": "cosine",
  "max_prompt_len": 512,
  "max_steps": 10,
  "mean_resizing_embeddings": false,
  "micro_batch_size": 1,
  "model_config_type": "llama",
  "num_epochs": 1.0,
  "optimizer": "adamw_torch",
  "output_dir": "/app/checkpoints/instr-fast-052b/ares56-test-text",
  "pretrain_multipack_attn": true,
  "profiler_steps_start": 0,
  "qlora_sharded_model_loading": false,
  "ray_num_workers": 1,
  "resources_per_worker": {
    "GPU": 1
  },
  "sample_packing": false,
  "sample_packing_bin_size": 200,
  "sample_packing_group_size": 100000,
  "save_only_model": false,
  "save_safetensors": true,
  "save_steps": 10,
  "save_strategy": "steps",
  "save_total_limit": 1,
  "sequence_len": 256,
  "shuffle_before_merging_datasets": false,
  "shuffle_merged_datasets": true,
  "skip_prepare_dataset": false,
  "streaming_multipack_buffer_size": 10000,
  "strict": false,
  "tensor_parallel_size": 1,
  "tf32": false,
  "tiled_mlp_use_original_mlp": true,
  "tokenizer_config": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
  "tokenizer_save_jinja_files": true,
  "torch_dtype": "torch.float32",
  "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
  },
  "warmup_steps": 0,
  "weight_decay": 0.0,
  "world_size": 1
}
[2025-09-09 07:47:05,871] [INFO] [axolotl.loaders.tokenizer.load_tokenizer:300] [PID:37] [RANK:0] No Chat template selected. Consider adding a chat template for easier inference.
[2025-09-09 07:47:05,871] [INFO] [axolotl.utils.data.shared.load_preprocessed_dataset:476] [PID:37] [RANK:0] Unable to find prepared dataset in last_run_prepared/103416ae75fe35cf3a7cdd59f8415c5e
[2025-09-09 07:47:05,871] [INFO] [axolotl.utils.data.sft._load_raw_datasets:320] [PID:37] [RANK:0] Loading raw datasets...
[2025-09-09 07:47:05,871] [WARNING] [axolotl.utils.data.sft._load_raw_datasets:322] [PID:37] [RANK:0] Processing datasets during training can lead to VRAM instability. Please pre-process your dataset using `axolotl preprocess path/to/config.yml`.

Generating train split: 0 examples [00:00, ? examples/s]
Generating train split: 50 examples [00:00, 17666.18 examples/s]
[2025-09-09 07:47:06,858] [INFO] [axolotl.utils.data.wrappers.get_dataset_wrapper:87] [PID:37] [RANK:0] Loading dataset: /app/axolotl/data/mini_instruct_50.jsonl with base_type: alpaca and prompt_style: None

Tokenizing Prompts (num_proc=32):   0%|          | 0/50 [00:00<?, ? examples/s]
Tokenizing Prompts (num_proc=32):   4%|▍         | 2/50 [00:00<00:07,  6.64 examples/s]
Tokenizing Prompts (num_proc=32):  32%|███▏      | 16/50 [00:00<00:00, 49.07 examples/s]
Tokenizing Prompts (num_proc=32):  64%|██████▍   | 32/50 [00:00<00:00, 78.43 examples/s]
Tokenizing Prompts (num_proc=32):  86%|████████▌ | 43/50 [00:00<00:00, 83.86 examples/s]
Tokenizing Prompts (num_proc=32): 100%|██████████| 50/50 [00:00<00:00, 59.60 examples/s]
[2025-09-09 07:47:07,731] [INFO] [axolotl.utils.data.utils.handle_long_seq_in_dataset:218] [PID:37] [RANK:0] min_input_len: 69
[2025-09-09 07:47:07,731] [INFO] [axolotl.utils.data.utils.handle_long_seq_in_dataset:220] [PID:37] [RANK:0] max_input_len: 71

Dropping Long Sequences (>256) (num_proc=32):   0%|          | 0/50 [00:00<?, ? examples/s]
Dropping Long Sequences (>256) (num_proc=32):   4%|▍         | 2/50 [00:00<00:05,  8.84 examples/s]
Dropping Long Sequences (>256) (num_proc=32): 100%|██████████| 50/50 [00:00<00:00, 132.29 examples/s]

Saving the dataset (0/1 shards):   0%|          | 0/50 [00:00<?, ? examples/s]
Saving the dataset (1/1 shards): 100%|██████████| 50/50 [00:00<00:00, 13005.59 examples/s]
Saving the dataset (1/1 shards): 100%|██████████| 50/50 [00:00<00:00, 12705.39 examples/s]
[2025-09-09 07:47:08,152] [INFO] [axolotl.utils.data.sft._prepare_standard_dataset:121] [PID:37] [RANK:0] Maximum number of steps set at 10
[2025-09-09 07:47:08,722] [INFO] [axolotl.loaders.tokenizer.load_tokenizer:300] [PID:37] [RANK:0] No Chat template selected. Consider adding a chat template for easier inference.
[2025-09-09 07:47:08,917] [INFO] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_evaluation_loop:87] [PID:37] [RANK:0] Patched Trainer.evaluation_loop with nanmean loss calculation
[2025-09-09 07:47:08,918] [INFO] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_maybe_log_save_evaluate:138] [PID:37] [RANK:0] Patched Trainer._maybe_log_save_evaluate with nanmean loss calculation
`torch_dtype` is deprecated! Use `dtype` instead!
[2025-09-09 07:47:09,681] [INFO] [axolotl.loaders.model._configure_embedding_dtypes:351] [PID:37] [RANK:0] Converting modules to torch.float32
trainable params: 6,307,840 || all params: 1,106,356,224 || trainable%: 0.5701
[2025-09-09 07:47:10,932] [INFO] [axolotl.train.save_initial_configs:414] [PID:37] [RANK:0] Pre-saving adapter config to /app/checkpoints/instr-fast-052b/ares56-test-text...
[2025-09-09 07:47:10,932] [INFO] [axolotl.train.save_initial_configs:418] [PID:37] [RANK:0] Pre-saving tokenizer to /app/checkpoints/instr-fast-052b/ares56-test-text...
[2025-09-09 07:47:10,946] [INFO] [axolotl.train.save_initial_configs:423] [PID:37] [RANK:0] Pre-saving model config to /app/checkpoints/instr-fast-052b/ares56-test-text...
[2025-09-09 07:47:10,947] [INFO] [axolotl.train.execute_training:203] [PID:37] [RANK:0] Starting trainer...

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 10%|█         | 1/10 [00:01<00:13,  1.45s/it]
                                              
{'loss': 4.5061, 'grad_norm': 5.485438823699951, 'learning_rate': 0.0002, 'memory/max_active (GiB)': 0.0, 'memory/max_allocated (GiB)': 0.0, 'memory/device_reserved (GiB)': 0.0, 'epoch': 0.02}

 10%|█         | 1/10 [00:01<00:13,  1.45s/it]
 20%|██        | 2/10 [00:02<00:09,  1.22s/it]
                                              
{'loss': 3.7913, 'grad_norm': 4.593176364898682, 'learning_rate': 0.00019510565162951537, 'memory/max_active (GiB)': 0.0, 'memory/max_allocated (GiB)': 0.0, 'memory/device_reserved (GiB)': 0.0, 'epoch': 0.04}

 20%|██        | 2/10 [00:02<00:09,  1.22s/it]
 30%|███       | 3/10 [00:03<00:08,  1.18s/it]
                                              
{'loss': 3.0368, 'grad_norm': 4.607494354248047, 'learning_rate': 0.00018090169943749476, 'memory/max_active (GiB)': 0.0, 'memory/max_allocated (GiB)': 0.0, 'memory/device_reserved (GiB)': 0.0, 'epoch': 0.06}

 30%|███       | 3/10 [00:03<00:08,  1.18s/it]
 40%|████      | 4/10 [00:04<00:06,  1.15s/it]
                                              
{'loss': 2.4057, 'grad_norm': 4.247849464416504, 'learning_rate': 0.00015877852522924732, 'memory/max_active (GiB)': 0.0, 'memory/max_allocated (GiB)': 0.0, 'memory/device_reserved (GiB)': 0.0, 'epoch': 0.08}

 40%|████      | 4/10 [00:04<00:06,  1.15s/it]
 50%|█████     | 5/10 [00:05<00:05,  1.15s/it]
                                              
{'loss': 1.9879, 'grad_norm': 3.5455574989318848, 'learning_rate': 0.00013090169943749476, 'memory/max_active (GiB)': 0.0, 'memory/max_allocated (GiB)': 0.0, 'memory/device_reserved (GiB)': 0.0, 'epoch': 0.1}

 50%|█████     | 5/10 [00:05<00:05,  1.15s/it]
 60%|██████    | 6/10 [00:06<00:04,  1.08s/it]
                                              
{'loss': 1.6576, 'grad_norm': 3.5534489154815674, 'learning_rate': 0.0001, 'memory/max_active (GiB)': 0.0, 'memory/max_allocated (GiB)': 0.0, 'memory/device_reserved (GiB)': 0.0, 'epoch': 0.12}

 60%|██████    | 6/10 [00:06<00:04,  1.08s/it]
 70%|███████   | 7/10 [00:07<00:03,  1.03s/it]
                                              
{'loss': 1.4126, 'grad_norm': 3.670276403427124, 'learning_rate': 6.909830056250527e-05, 'memory/max_active (GiB)': 0.0, 'memory/max_allocated (GiB)': 0.0, 'memory/device_reserved (GiB)': 0.0, 'epoch': 0.14}

 70%|███████   | 7/10 [00:07<00:03,  1.03s/it]
 80%|████████  | 8/10 [00:08<00:02,  1.01s/it]
                                              
{'loss': 1.2206, 'grad_norm': 4.0369062423706055, 'learning_rate': 4.12214747707527e-05, 'memory/max_active (GiB)': 0.0, 'memory/max_allocated (GiB)': 0.0, 'memory/device_reserved (GiB)': 0.0, 'epoch': 0.16}

 80%|████████  | 8/10 [00:08<00:02,  1.01s/it]
 90%|█████████ | 9/10 [00:09<00:00,  1.02it/s]
                                              
{'loss': 1.0935, 'grad_norm': 4.194610595703125, 'learning_rate': 1.9098300562505266e-05, 'memory/max_active (GiB)': 0.0, 'memory/max_allocated (GiB)': 0.0, 'memory/device_reserved (GiB)': 0.0, 'epoch': 0.18}

 90%|█████████ | 9/10 [00:09<00:00,  1.02it/s]
100%|██████████| 10/10 [00:10<00:00,  1.05s/it]
                                               
{'loss': 1.0354, 'grad_norm': 4.174754619598389, 'learning_rate': 4.8943483704846475e-06, 'memory/max_active (GiB)': 0.0, 'memory/max_allocated (GiB)': 0.0, 'memory/device_reserved (GiB)': 0.0, 'epoch': 0.2}

100%|██████████| 10/10 [00:10<00:00,  1.05s/it][2025-09-09 07:47:21,982] [INFO] [axolotl.core.trainers.base._save:632] [PID:37] [RANK:0] Saving model checkpoint to /app/checkpoints/instr-fast-052b/ares56-test-text/checkpoint-10
[2025-09-09 07:47:22,404] [INFO] [axolotl.core.trainers.base._save:681] [PID:37] [RANK:0] Saving Trainer.data_collator.tokenizer by default as Trainer.processing_class is `None`

                                               
{'train_runtime': 11.3209, 'train_samples_per_second': 0.883, 'train_steps_per_second': 0.883, 'train_loss': 2.214738917350769, 'memory/max_active (GiB)': 0.0, 'memory/max_allocated (GiB)': 0.0, 'memory/device_reserved (GiB)': 0.0, 'epoch': 0.2}

100%|██████████| 10/10 [00:11<00:00,  1.05s/it]
100%|██████████| 10/10 [00:11<00:00,  1.13s/it]
[2025-09-09 07:47:22,504] [INFO] [axolotl.train.save_trained_model:228] [PID:37] [RANK:0] Training completed! Saving trained model to /app/checkpoints/instr-fast-052b/ares56-test-text.
[2025-09-09 07:47:22,841] [INFO] [axolotl.train.save_trained_model:352] [PID:37] [RANK:0] Model successfully saved to /app/checkpoints/instr-fast-052b/ares56-test-text