Submitting job: /common/home/users/d/dh.huang.2023/code/logical-reasoning/scripts/tune-mgtv.sh
Current Directory:
/common/home/users/d/dh.huang.2023/code/logical-reasoning
Sat Jul 13 15:40:00 2024       
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/common/home/users/d/dh.huang.2023/code/logical-reasoning/scripts/tune-mgtv.sh: line 28: cho: command not found
Current Directory:
/common/home/users/d/dh.huang.2023/code/logical-reasoning/llama-factory
config/internlm2_5_7b_lora_sft_bf16_p2_full.yaml:
 {
  "model_name_or_path": "internlm/internlm2_5-7b-chat-1m",
  "stage": "sft",
  "do_train": true,
  "finetuning_type": "lora",
  "lora_target": "all",
  "loraplus_lr_ratio": 16.0,
  "upcast_layernorm": true,
  "dataset": "alpaca_mgtv_p2",
  "template": "intern2",
  "cutoff_len": 4096,
  "max_samples": 25000,
  "overwrite_cache": true,
  "preprocessing_num_workers": 16,
  "output_dir": "saves/internlm2_5_7b/lora/sft_bf16_p2_full",
  "logging_steps": 10,
  "save_steps": 88,
  "plot_loss": true,
  "overwrite_output_dir": true,
  "per_device_train_batch_size": 32,
  "gradient_accumulation_steps": 8,
  "learning_rate": 0.0001,
  "num_train_epochs": 6.0,
  "lr_scheduler_type": "cosine",
  "warmup_ratio": 0.1,
  "bf16": true,
  "ddp_timeout": 180000000,
  "val_size": 0.1,
  "per_device_eval_batch_size": 1,
  "eval_strategy": "steps",
  "eval_steps": 88,
  "report_to": "wandb",
  "run_name": "internlm2_5_7b_p2_l40"
}
07/13/2024 15:40:12 - INFO - llamafactory.hparams.parser - Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: False, compute dtype: torch.bfloat16
[INFO|tokenization_utils_base.py:2108] 2024-07-13 15:40:13,065 >> loading file ./tokenizer.model from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/./tokenizer.model
[INFO|tokenization_utils_base.py:2108] 2024-07-13 15:40:13,065 >> loading file added_tokens.json from cache at None
[INFO|tokenization_utils_base.py:2108] 2024-07-13 15:40:13,065 >> loading file special_tokens_map.json from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/special_tokens_map.json
[INFO|tokenization_utils_base.py:2108] 2024-07-13 15:40:13,065 >> loading file tokenizer_config.json from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/tokenizer_config.json
[INFO|tokenization_utils_base.py:2108] 2024-07-13 15:40:13,065 >> loading file tokenizer.json from cache at None
07/13/2024 15:40:14 - INFO - llamafactory.data.template - Add <|im_end|> to stop words.
07/13/2024 15:40:14 - INFO - llamafactory.data.loader - Loading dataset alpaca_mgtv_p2.json...

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/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
  warnings.warn(
[INFO|configuration_utils.py:733] 2024-07-13 15:40:20,063 >> loading configuration file config.json from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/config.json
[INFO|configuration_utils.py:733] 2024-07-13 15:40:20,559 >> loading configuration file config.json from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/config.json
[INFO|configuration_utils.py:796] 2024-07-13 15:40:20,559 >> Model config InternLM2Config {
  "_name_or_path": "internlm/internlm2_5-7b-chat-1m",
  "architectures": [
    "InternLM2ForCausalLM"
  ],
  "attn_implementation": "eager",
  "auto_map": {
    "AutoConfig": "internlm/internlm2_5-7b-chat-1m--configuration_internlm2.InternLM2Config",
    "AutoModel": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM",
    "AutoModelForCausalLM": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM"
  },
  "bias": false,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "hidden_act": "silu",
  "hidden_size": 4096,
  "initializer_range": 0.02,
  "intermediate_size": 14336,
  "max_position_embeddings": 262144,
  "model_type": "internlm2",
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 8,
  "pad_token_id": 2,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "factor": 2.5,
    "type": "dynamic"
  },
  "rope_theta": 50000000,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.41.2",
  "use_cache": true,
  "vocab_size": 92544
}

[INFO|modeling_utils.py:3474] 2024-07-13 15:40:20,894 >> loading weights file model.safetensors from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/model.safetensors.index.json
[INFO|modeling_utils.py:1519] 2024-07-13 15:40:20,895 >> Instantiating InternLM2ForCausalLM model under default dtype torch.bfloat16.
[INFO|configuration_utils.py:962] 2024-07-13 15:40:20,896 >> Generate config GenerationConfig {
  "bos_token_id": 1,
  "eos_token_id": 2,
  "pad_token_id": 2
}

input_ids:
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inputs:
<s><|im_start|>user
你是一个情景猜谜游戏的主持人。游戏规则如下：

1. 参与者会得到一个谜面，谜面会描述一个简单又难以理解的事件。
2. 主持人知道谜底，谜底是谜面的答案。
3. 参与者可以询问任何封闭式问题来找寻事件的真相。
4. 对于每个问题，主持人将根据实际情况回答以下五个选项之一：是、不是、不重要、回答正确、问法错误。各回答的判断标准如下：
   - 若谜面和谜底能找到问题的答案，回答：是或者不是
   - 若谜面和谜底不能直接或者间接推断出问题的答案，回答：不重要
   - 若参与者提问不是一个封闭式问题或者问题难以理解，回答：问法错误
   - 若参与者提问基本还原了谜底真相，回答：回答正确
5. 回答中不能添加任何其它信息，也不能省略选项中的任何一个字。例如，不可以把“不是”省略成“不”。

请严格按照这些规则回答参与者提出的问题。

**谜面:** 在甄家村里，有一个古老的传说：每年南瓜丰收的季节，南瓜田里总有一个最大的南瓜会不翼而飞，村民们对此现象困惑不解。请找出南瓜失踪背后的原因。

**谜底:** 真相原来与一位年迈的农夫有关。这位农夫年轻时，曾与一位美丽的姑娘相恋。他们约定在南瓜丰收的季节结婚。然而，命运弄人，姑娘在婚礼前的一场意外中离世。悲伤的农夫为了纪念心爱的姑娘，每年都会将最大的南瓜偷走，放到姑娘的墓前，以此寄托自己的哀思。这一行为延续了多年，成为了乡村里一个神秘的传说。

**参与者提出的问题:** 偷的人信神吗
<|im_end|>
<|im_start|>assistant
不是</s>
label_ids:
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labels:
不是</s>

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[INFO|modeling_utils.py:4280] 2024-07-13 15:40:31,063 >> All model checkpoint weights were used when initializing InternLM2ForCausalLM.

[INFO|modeling_utils.py:4288] 2024-07-13 15:40:31,063 >> All the weights of InternLM2ForCausalLM were initialized from the model checkpoint at internlm/internlm2_5-7b-chat-1m.
If your task is similar to the task the model of the checkpoint was trained on, you can already use InternLM2ForCausalLM for predictions without further training.
[INFO|configuration_utils.py:917] 2024-07-13 15:40:31,312 >> loading configuration file generation_config.json from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/generation_config.json
[INFO|configuration_utils.py:962] 2024-07-13 15:40:31,313 >> Generate config GenerationConfig {
  "bos_token_id": 1,
  "eos_token_id": [
    2,
    92542
  ],
  "pad_token_id": 2
}

07/13/2024 15:40:31 - INFO - llamafactory.model.model_utils.checkpointing - Upcasting layernorm weights in float32.
07/13/2024 15:40:31 - INFO - llamafactory.model.model_utils.checkpointing - Gradient checkpointing enabled.
07/13/2024 15:40:31 - INFO - llamafactory.model.model_utils.attention - Using vanilla attention implementation.
07/13/2024 15:40:31 - INFO - llamafactory.model.adapter - Upcasting trainable params to float32.
07/13/2024 15:40:31 - INFO - llamafactory.model.adapter - Fine-tuning method: LoRA
07/13/2024 15:40:31 - INFO - llamafactory.model.model_utils.misc - Found linear modules: wqkv,w2,w1,w3,wo
07/13/2024 15:40:31 - INFO - llamafactory.model.loader - trainable params: 18,874,368 || all params: 7,756,582,912 || trainable%: 0.2433
Detected kernel version 4.18.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
[INFO|trainer.py:641] 2024-07-13 15:40:31,769 >> Using auto half precision backend
07/13/2024 15:40:31 - INFO - llamafactory.train.trainer_utils - Using LoRA+ optimizer with loraplus lr ratio 16.00.
[INFO|trainer.py:2078] 2024-07-13 15:40:31,996 >> ***** Running training *****
[INFO|trainer.py:2079] 2024-07-13 15:40:31,996 >>   Num examples = 22,500
[INFO|trainer.py:2080] 2024-07-13 15:40:31,996 >>   Num Epochs = 6
[INFO|trainer.py:2081] 2024-07-13 15:40:31,996 >>   Instantaneous batch size per device = 32
[INFO|trainer.py:2084] 2024-07-13 15:40:31,996 >>   Total train batch size (w. parallel, distributed & accumulation) = 256
[INFO|trainer.py:2085] 2024-07-13 15:40:31,996 >>   Gradient Accumulation steps = 8
[INFO|trainer.py:2086] 2024-07-13 15:40:31,996 >>   Total optimization steps = 528
[INFO|trainer.py:2087] 2024-07-13 15:40:31,999 >>   Number of trainable parameters = 18,874,368
[INFO|integration_utils.py:723] 2024-07-13 15:40:32,001 >> Automatic Weights & Biases logging enabled, to disable set os.environ["WANDB_DISABLED"] = "true"
wandb: Currently logged in as: inflaton-sg (inflaton-ai). Use `wandb login --relogin` to force relogin
wandb: Tracking run with wandb version 0.17.4
wandb: Run data is saved locally in /common2/dh.huang.2023/code/logical-reasoning/llama-factory/wandb/run-20240713_154033-dpm5rcwx
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run internlm2_5_7b_p2_l40
wandb: ⭐️ View project at https://wandb.ai/inflaton-ai/huggingface
wandb: 🚀 View run at https://wandb.ai/inflaton-ai/huggingface/runs/dpm5rcwx

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[INFO|trainer.py:3721] 2024-07-13 17:47:40,097 >>   Num examples = 2500
[INFO|trainer.py:3724] 2024-07-13 17:47:40,097 >>   Batch size = 1
{'loss': 6.943, 'grad_norm': 3.514838457107544, 'learning_rate': 1.8867924528301888e-05, 'epoch': 0.11}
{'loss': 0.446, 'grad_norm': 1.0595427751541138, 'learning_rate': 3.7735849056603776e-05, 'epoch': 0.23}
{'loss': 0.3515, 'grad_norm': 0.6256385445594788, 'learning_rate': 5.660377358490566e-05, 'epoch': 0.34}
{'loss': 0.288, 'grad_norm': 0.633573055267334, 'learning_rate': 7.547169811320755e-05, 'epoch': 0.45}
{'loss': 0.2819, 'grad_norm': 0.4915701746940613, 'learning_rate': 9.433962264150944e-05, 'epoch': 0.57}
{'loss': 0.2765, 'grad_norm': 0.40083640813827515, 'learning_rate': 9.994642390694308e-05, 'epoch': 0.68}
{'loss': 0.2754, 'grad_norm': 0.7176418304443359, 'learning_rate': 9.968428675226714e-05, 'epoch': 0.8}
{'loss': 0.277, 'grad_norm': 0.6853049397468567, 'learning_rate': 9.92048928531717e-05, 'epoch': 0.91}


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                                                   [INFO|trainer.py:3410] 2024-07-13 17:51:32,042 >> Saving model checkpoint to saves/internlm2_5_7b/lora/sft_bf16_p2_full/checkpoint-88
/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
  warnings.warn(
[INFO|configuration_utils.py:733] 2024-07-13 17:51:32,799 >> loading configuration file config.json from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/config.json
[INFO|configuration_utils.py:796] 2024-07-13 17:51:32,799 >> Model config InternLM2Config {
  "architectures": [
    "InternLM2ForCausalLM"
  ],
  "attn_implementation": "eager",
  "auto_map": {
    "AutoConfig": "internlm/internlm2_5-7b-chat-1m--configuration_internlm2.InternLM2Config",
    "AutoModel": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM",
    "AutoModelForCausalLM": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM"
  },
  "bias": false,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "hidden_act": "silu",
  "hidden_size": 4096,
  "initializer_range": 0.02,
  "intermediate_size": 14336,
  "max_position_embeddings": 262144,
  "model_type": "internlm2",
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 8,
  "pad_token_id": 2,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "factor": 2.5,
    "type": "dynamic"
  },
  "rope_theta": 50000000,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.41.2",
  "use_cache": true,
  "vocab_size": 92544
}

[INFO|tokenization_utils_base.py:2513] 2024-07-13 17:51:33,269 >> tokenizer config file saved in saves/internlm2_5_7b/lora/sft_bf16_p2_full/checkpoint-88/tokenizer_config.json
[INFO|tokenization_utils_base.py:2522] 2024-07-13 17:51:33,270 >> Special tokens file saved in saves/internlm2_5_7b/lora/sft_bf16_p2_full/checkpoint-88/special_tokens_map.json

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[INFO|trainer.py:3721] 2024-07-13 19:58:03,230 >>   Num examples = 2500
[INFO|trainer.py:3724] 2024-07-13 19:58:03,230 >>   Batch size = 1
{'eval_loss': 0.26003387570381165, 'eval_accuracy': 0.9030666666666668, 'eval_runtime': 231.9406, 'eval_samples_per_second': 10.779, 'eval_steps_per_second': 10.779, 'epoch': 1.0}
{'loss': 0.2619, 'grad_norm': 0.4268323481082916, 'learning_rate': 9.851033847720166e-05, 'epoch': 1.02}
{'loss': 0.2385, 'grad_norm': 0.9503114819526672, 'learning_rate': 9.760366073392246e-05, 'epoch': 1.14}
{'loss': 0.2341, 'grad_norm': 0.3606574237346649, 'learning_rate': 9.648882429441257e-05, 'epoch': 1.25}
{'loss': 0.2447, 'grad_norm': 0.7226484417915344, 'learning_rate': 9.517070405476575e-05, 'epoch': 1.36}
{'loss': 0.2441, 'grad_norm': 0.8543397188186646, 'learning_rate': 9.365506381941066e-05, 'epoch': 1.48}
{'loss': 0.2379, 'grad_norm': 0.800394594669342, 'learning_rate': 9.194853109746074e-05, 'epoch': 1.59}
{'loss': 0.2434, 'grad_norm': 0.5756838321685791, 'learning_rate': 9.005856812230304e-05, 'epoch': 1.7}
{'loss': 0.2352, 'grad_norm': 1.0771032571792603, 'learning_rate': 8.799343922115044e-05, 'epoch': 1.82}
{'loss': 0.2427, 'grad_norm': 0.4805872440338135, 'learning_rate': 8.576217467724128e-05, 'epoch': 1.93}


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                                                   [INFO|trainer.py:3410] 2024-07-13 20:01:54,447 >> Saving model checkpoint to saves/internlm2_5_7b/lora/sft_bf16_p2_full/checkpoint-176
/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
  warnings.warn(
[INFO|configuration_utils.py:733] 2024-07-13 20:01:55,394 >> loading configuration file config.json from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/config.json
[INFO|configuration_utils.py:796] 2024-07-13 20:01:55,395 >> Model config InternLM2Config {
  "architectures": [
    "InternLM2ForCausalLM"
  ],
  "attn_implementation": "eager",
  "auto_map": {
    "AutoConfig": "internlm/internlm2_5-7b-chat-1m--configuration_internlm2.InternLM2Config",
    "AutoModel": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM",
    "AutoModelForCausalLM": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM"
  },
  "bias": false,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "hidden_act": "silu",
  "hidden_size": 4096,
  "initializer_range": 0.02,
  "intermediate_size": 14336,
  "max_position_embeddings": 262144,
  "model_type": "internlm2",
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 8,
  "pad_token_id": 2,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "factor": 2.5,
    "type": "dynamic"
  },
  "rope_theta": 50000000,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.41.2",
  "use_cache": true,
  "vocab_size": 92544
}

[INFO|tokenization_utils_base.py:2513] 2024-07-13 20:01:55,605 >> tokenizer config file saved in saves/internlm2_5_7b/lora/sft_bf16_p2_full/checkpoint-176/tokenizer_config.json
[INFO|tokenization_utils_base.py:2522] 2024-07-13 20:01:55,606 >> Special tokens file saved in saves/internlm2_5_7b/lora/sft_bf16_p2_full/checkpoint-176/special_tokens_map.json

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[INFO|trainer.py:3721] 2024-07-13 22:08:27,588 >>   Num examples = 2500
[INFO|trainer.py:3724] 2024-07-13 22:08:27,588 >>   Batch size = 1
{'eval_loss': 0.25738978385925293, 'eval_accuracy': 0.9006, 'eval_runtime': 231.2131, 'eval_samples_per_second': 10.813, 'eval_steps_per_second': 10.813, 'epoch': 2.0}
{'loss': 0.22, 'grad_norm': 0.5219587683677673, 'learning_rate': 8.337453124270863e-05, 'epoch': 2.05}
{'loss': 0.1787, 'grad_norm': 0.6363154053688049, 'learning_rate': 8.084094947478556e-05, 'epoch': 2.16}
{'loss': 0.1647, 'grad_norm': 0.6807820796966553, 'learning_rate': 7.817250808190483e-05, 'epoch': 2.27}
{'loss': 0.1828, 'grad_norm': 0.5443515777587891, 'learning_rate': 7.538087547932585e-05, 'epoch': 2.39}
{'loss': 0.1782, 'grad_norm': 0.4641902446746826, 'learning_rate': 7.247825876612353e-05, 'epoch': 2.5}
{'loss': 0.1942, 'grad_norm': 0.5865933299064636, 'learning_rate': 6.947735034665002e-05, 'epoch': 2.61}
{'loss': 0.1852, 'grad_norm': 0.5332173705101013, 'learning_rate': 6.639127242987988e-05, 'epoch': 2.73}
{'loss': 0.1936, 'grad_norm': 0.5550218820571899, 'learning_rate': 6.323351964932908e-05, 'epoch': 2.84}
{'loss': 0.1813, 'grad_norm': 0.6850063800811768, 'learning_rate': 6.001790005445607e-05, 'epoch': 2.95}


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                                                   [INFO|trainer.py:3410] 2024-07-13 22:12:18,602 >> Saving model checkpoint to saves/internlm2_5_7b/lora/sft_bf16_p2_full/checkpoint-264
/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
  warnings.warn(
[INFO|configuration_utils.py:733] 2024-07-13 22:12:19,354 >> loading configuration file config.json from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/config.json
[INFO|configuration_utils.py:796] 2024-07-13 22:12:19,355 >> Model config InternLM2Config {
  "architectures": [
    "InternLM2ForCausalLM"
  ],
  "attn_implementation": "eager",
  "auto_map": {
    "AutoConfig": "internlm/internlm2_5-7b-chat-1m--configuration_internlm2.InternLM2Config",
    "AutoModel": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM",
    "AutoModelForCausalLM": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM"
  },
  "bias": false,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "hidden_act": "silu",
  "hidden_size": 4096,
  "initializer_range": 0.02,
  "intermediate_size": 14336,
  "max_position_embeddings": 262144,
  "model_type": "internlm2",
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 8,
  "pad_token_id": 2,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "factor": 2.5,
    "type": "dynamic"
  },
  "rope_theta": 50000000,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.41.2",
  "use_cache": true,
  "vocab_size": 92544
}

[INFO|tokenization_utils_base.py:2513] 2024-07-13 22:12:19,564 >> tokenizer config file saved in saves/internlm2_5_7b/lora/sft_bf16_p2_full/checkpoint-264/tokenizer_config.json
[INFO|tokenization_utils_base.py:2522] 2024-07-13 22:12:19,565 >> Special tokens file saved in saves/internlm2_5_7b/lora/sft_bf16_p2_full/checkpoint-264/special_tokens_map.json

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[INFO|trainer.py:3721] 2024-07-14 00:18:38,547 >>   Num examples = 2500
[INFO|trainer.py:3724] 2024-07-14 00:18:38,547 >>   Batch size = 1
{'eval_loss': 0.2705931067466736, 'eval_accuracy': 0.9027, 'eval_runtime': 231.0113, 'eval_samples_per_second': 10.822, 'eval_steps_per_second': 10.822, 'epoch': 3.0}
{'loss': 0.14, 'grad_norm': 0.42733630537986755, 'learning_rate': 5.675847473157485e-05, 'epoch': 3.07}
{'loss': 0.1197, 'grad_norm': 0.5972977876663208, 'learning_rate': 5.3469496318302204e-05, 'epoch': 3.18}
{'loss': 0.1198, 'grad_norm': 0.4995785653591156, 'learning_rate': 5.016534668039976e-05, 'epoch': 3.3}
{'loss': 0.1131, 'grad_norm': 0.5500032305717468, 'learning_rate': 4.6860474023534335e-05, 'epoch': 3.41}
{'loss': 0.1185, 'grad_norm': 0.4452584683895111, 'learning_rate': 4.3569329714950704e-05, 'epoch': 3.52}
{'loss': 0.1197, 'grad_norm': 0.4754205346107483, 'learning_rate': 4.0306305091319595e-05, 'epoch': 3.64}
{'loss': 0.122, 'grad_norm': 0.6347799301147461, 'learning_rate': 3.7085668529084184e-05, 'epoch': 3.75}
{'loss': 0.1163, 'grad_norm': 0.48911160230636597, 'learning_rate': 3.392150305248024e-05, 'epoch': 3.86}
{'loss': 0.1263, 'grad_norm': 0.6460514068603516, 'learning_rate': 3.082764475205442e-05, 'epoch': 3.98}


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                                                   [INFO|trainer.py:3410] 2024-07-14 00:22:31,595 >> Saving model checkpoint to saves/internlm2_5_7b/lora/sft_bf16_p2_full/checkpoint-352
/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
  warnings.warn(
[INFO|configuration_utils.py:733] 2024-07-14 00:22:32,476 >> loading configuration file config.json from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/config.json
[INFO|configuration_utils.py:796] 2024-07-14 00:22:32,478 >> Model config InternLM2Config {
  "architectures": [
    "InternLM2ForCausalLM"
  ],
  "attn_implementation": "eager",
  "auto_map": {
    "AutoConfig": "internlm/internlm2_5-7b-chat-1m--configuration_internlm2.InternLM2Config",
    "AutoModel": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM",
    "AutoModelForCausalLM": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM"
  },
  "bias": false,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "hidden_act": "silu",
  "hidden_size": 4096,
  "initializer_range": 0.02,
  "intermediate_size": 14336,
  "max_position_embeddings": 262144,
  "model_type": "internlm2",
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 8,
  "pad_token_id": 2,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "factor": 2.5,
    "type": "dynamic"
  },
  "rope_theta": 50000000,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.41.2",
  "use_cache": true,
  "vocab_size": 92544
}

[INFO|tokenization_utils_base.py:2513] 2024-07-14 00:22:32,704 >> tokenizer config file saved in saves/internlm2_5_7b/lora/sft_bf16_p2_full/checkpoint-352/tokenizer_config.json
[INFO|tokenization_utils_base.py:2522] 2024-07-14 00:22:32,706 >> Special tokens file saved in saves/internlm2_5_7b/lora/sft_bf16_p2_full/checkpoint-352/special_tokens_map.json

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[INFO|trainer.py:3721] 2024-07-14 02:29:28,387 >>   Num examples = 2500
[INFO|trainer.py:3724] 2024-07-14 02:29:28,387 >>   Batch size = 1
{'eval_loss': 0.2945823669433594, 'eval_accuracy': 0.8993666666666668, 'eval_runtime': 233.0443, 'eval_samples_per_second': 10.728, 'eval_steps_per_second': 10.728, 'epoch': 4.0}
{'loss': 0.0856, 'grad_norm': 0.37293320894241333, 'learning_rate': 2.7817622282960815e-05, 'epoch': 4.09}
{'loss': 0.0661, 'grad_norm': 0.5676562190055847, 'learning_rate': 2.490459770759398e-05, 'epoch': 4.2}
{'loss': 0.061, 'grad_norm': 0.5680781006813049, 'learning_rate': 2.2101308941239203e-05, 'epoch': 4.32}
{'loss': 0.0744, 'grad_norm': 0.690169095993042, 'learning_rate': 1.942001405240979e-05, 'epoch': 4.43}
{'loss': 0.0736, 'grad_norm': 0.5858839750289917, 'learning_rate': 1.6872437661432517e-05, 'epoch': 4.55}
{'loss': 0.0779, 'grad_norm': 0.6473811268806458, 'learning_rate': 1.4469719671666043e-05, 'epoch': 4.66}
{'loss': 0.075, 'grad_norm': 0.3694300055503845, 'learning_rate': 1.2222366557537911e-05, 'epoch': 4.77}
{'loss': 0.0752, 'grad_norm': 0.5935441851615906, 'learning_rate': 1.0140205422405214e-05, 'epoch': 4.89}
{'loss': 0.0684, 'grad_norm': 0.7272607684135437, 'learning_rate': 8.232341027131885e-06, 'epoch': 5.0}


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                                                   [INFO|trainer.py:3410] 2024-07-14 02:33:20,816 >> Saving model checkpoint to saves/internlm2_5_7b/lora/sft_bf16_p2_full/checkpoint-440
/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
  warnings.warn(
[INFO|configuration_utils.py:733] 2024-07-14 02:33:21,617 >> loading configuration file config.json from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/config.json
[INFO|configuration_utils.py:796] 2024-07-14 02:33:21,618 >> Model config InternLM2Config {
  "architectures": [
    "InternLM2ForCausalLM"
  ],
  "attn_implementation": "eager",
  "auto_map": {
    "AutoConfig": "internlm/internlm2_5-7b-chat-1m--configuration_internlm2.InternLM2Config",
    "AutoModel": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM",
    "AutoModelForCausalLM": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM"
  },
  "bias": false,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "hidden_act": "silu",
  "hidden_size": 4096,
  "initializer_range": 0.02,
  "intermediate_size": 14336,
  "max_position_embeddings": 262144,
  "model_type": "internlm2",
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 8,
  "pad_token_id": 2,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "factor": 2.5,
    "type": "dynamic"
  },
  "rope_theta": 50000000,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.41.2",
  "use_cache": true,
  "vocab_size": 92544
}

[INFO|tokenization_utils_base.py:2513] 2024-07-14 02:33:21,839 >> tokenizer config file saved in saves/internlm2_5_7b/lora/sft_bf16_p2_full/checkpoint-440/tokenizer_config.json
[INFO|tokenization_utils_base.py:2522] 2024-07-14 02:33:21,840 >> Special tokens file saved in saves/internlm2_5_7b/lora/sft_bf16_p2_full/checkpoint-440/special_tokens_map.json

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100%|██████████| 528/528 [13:00:34<00:00, 84.44s/it][INFO|trainer.py:3719] 2024-07-14 04:41:15,426 >> ***** Running Evaluation *****
[INFO|trainer.py:3721] 2024-07-14 04:41:15,426 >>   Num examples = 2500
[INFO|trainer.py:3724] 2024-07-14 04:41:15,426 >>   Batch size = 1
{'eval_loss': 0.369967520236969, 'eval_accuracy': 0.8996666666666668, 'eval_runtime': 232.4252, 'eval_samples_per_second': 10.756, 'eval_steps_per_second': 10.756, 'epoch': 5.0}
{'loss': 0.0531, 'grad_norm': 0.3855780363082886, 'learning_rate': 6.5071159772861436e-06, 'epoch': 5.11}
{'loss': 0.0437, 'grad_norm': 0.3242223560810089, 'learning_rate': 4.972074243048897e-06, 'epoch': 5.23}
{'loss': 0.0463, 'grad_norm': 0.36955130100250244, 'learning_rate': 3.6339281713517303e-06, 'epoch': 5.34}
{'loss': 0.0485, 'grad_norm': 0.3851165473461151, 'learning_rate': 2.4985291344915674e-06, 'epoch': 5.45}
{'loss': 0.0495, 'grad_norm': 0.30520951747894287, 'learning_rate': 1.5708419435684462e-06, 'epoch': 5.57}
{'loss': 0.0484, 'grad_norm': 0.8094011545181274, 'learning_rate': 8.549231386298151e-07, 'epoch': 5.68}
{'loss': 0.0384, 'grad_norm': 0.21888971328735352, 'learning_rate': 3.5390325045304706e-07, 'epoch': 5.8}
{'loss': 0.0486, 'grad_norm': 0.4017506539821625, 'learning_rate': 6.997311153086883e-08, 'epoch': 5.91}


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                                                   [INFO|trainer.py:3410] 2024-07-14 04:45:08,375 >> Saving model checkpoint to saves/internlm2_5_7b/lora/sft_bf16_p2_full/checkpoint-528
/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
  warnings.warn(
[INFO|configuration_utils.py:733] 2024-07-14 04:45:09,134 >> loading configuration file config.json from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/config.json
[INFO|configuration_utils.py:796] 2024-07-14 04:45:09,135 >> Model config InternLM2Config {
  "architectures": [
    "InternLM2ForCausalLM"
  ],
  "attn_implementation": "eager",
  "auto_map": {
    "AutoConfig": "internlm/internlm2_5-7b-chat-1m--configuration_internlm2.InternLM2Config",
    "AutoModel": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM",
    "AutoModelForCausalLM": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM"
  },
  "bias": false,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "hidden_act": "silu",
  "hidden_size": 4096,
  "initializer_range": 0.02,
  "intermediate_size": 14336,
  "max_position_embeddings": 262144,
  "model_type": "internlm2",
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 8,
  "pad_token_id": 2,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "factor": 2.5,
    "type": "dynamic"
  },
  "rope_theta": 50000000,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.41.2",
  "use_cache": true,
  "vocab_size": 92544
}

[INFO|tokenization_utils_base.py:2513] 2024-07-14 04:45:09,343 >> tokenizer config file saved in saves/internlm2_5_7b/lora/sft_bf16_p2_full/checkpoint-528/tokenizer_config.json
[INFO|tokenization_utils_base.py:2522] 2024-07-14 04:45:09,345 >> Special tokens file saved in saves/internlm2_5_7b/lora/sft_bf16_p2_full/checkpoint-528/special_tokens_map.json
[INFO|trainer.py:2329] 2024-07-14 04:45:09,798 >> 

Training completed. Do not forget to share your model on huggingface.co/models =)



                                                    

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[INFO|trainer.py:3410] 2024-07-14 04:45:09,802 >> Saving model checkpoint to saves/internlm2_5_7b/lora/sft_bf16_p2_full
/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
  warnings.warn(
[INFO|configuration_utils.py:733] 2024-07-14 04:45:10,284 >> loading configuration file config.json from cache at /common/scratch/users/d/dh.huang.2023/transformers/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/config.json
[INFO|configuration_utils.py:796] 2024-07-14 04:45:10,285 >> Model config InternLM2Config {
  "architectures": [
    "InternLM2ForCausalLM"
  ],
  "attn_implementation": "eager",
  "auto_map": {
    "AutoConfig": "internlm/internlm2_5-7b-chat-1m--configuration_internlm2.InternLM2Config",
    "AutoModel": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM",
    "AutoModelForCausalLM": "internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM"
  },
  "bias": false,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "hidden_act": "silu",
  "hidden_size": 4096,
  "initializer_range": 0.02,
  "intermediate_size": 14336,
  "max_position_embeddings": 262144,
  "model_type": "internlm2",
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 8,
  "pad_token_id": 2,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "factor": 2.5,
    "type": "dynamic"
  },
  "rope_theta": 50000000,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.41.2",
  "use_cache": true,
  "vocab_size": 92544
}

[INFO|tokenization_utils_base.py:2513] 2024-07-14 04:45:10,484 >> tokenizer config file saved in saves/internlm2_5_7b/lora/sft_bf16_p2_full/tokenizer_config.json
[INFO|tokenization_utils_base.py:2522] 2024-07-14 04:45:10,486 >> Special tokens file saved in saves/internlm2_5_7b/lora/sft_bf16_p2_full/special_tokens_map.json
[INFO|trainer.py:3719] 2024-07-14 04:45:10,951 >> ***** Running Evaluation *****
[INFO|trainer.py:3721] 2024-07-14 04:45:10,951 >>   Num examples = 2500
[INFO|trainer.py:3724] 2024-07-14 04:45:10,951 >>   Batch size = 1
{'eval_loss': 0.4368518590927124, 'eval_accuracy': 0.8984, 'eval_runtime': 232.9443, 'eval_samples_per_second': 10.732, 'eval_steps_per_second': 10.732, 'epoch': 6.0}
{'train_runtime': 47077.7992, 'train_samples_per_second': 2.868, 'train_steps_per_second': 0.011, 'train_loss': 0.28717788867652416, 'epoch': 6.0}
***** train metrics *****
  epoch                    =          6.0
  total_flos               = 2704704304GF
  train_loss               =       0.2872
  train_runtime            =  13:04:37.79
  train_samples_per_second =        2.868
  train_steps_per_second   =        0.011
Figure saved at: saves/internlm2_5_7b/lora/sft_bf16_p2_full/training_loss.png
Figure saved at: saves/internlm2_5_7b/lora/sft_bf16_p2_full/training_eval_loss.png
Figure saved at: saves/internlm2_5_7b/lora/sft_bf16_p2_full/training_eval_accuracy.png

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[INFO|modelcard.py:450] 2024-07-14 04:49:03,077 >> Dropping the following result as it does not have all the necessary fields:
{'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}, 'metrics': [{'name': 'Accuracy', 'type': 'accuracy', 'value': 0.8984}]}
***** eval metrics *****
  epoch                   =        6.0
  eval_accuracy           =     0.8984
  eval_loss               =     0.4369
  eval_runtime            = 0:03:52.12
  eval_samples_per_second =      10.77
  eval_steps_per_second   =      10.77
wandb: - 0.014 MB of 0.014 MB uploaded
wandb: \ 0.062 MB of 0.062 MB uploaded
wandb: | 0.062 MB of 0.062 MB uploaded
wandb: / 0.062 MB of 0.062 MB uploaded
wandb: 
wandb: Run history:
wandb:           eval/accuracy █▄▇▂▃▁▁
wandb:               eval/loss ▁▁▂▂▅██
wandb:            eval/runtime ▄▂▁█▆█▅
wandb: eval/samples_per_second ▅▇█▁▃▁▄
wandb:   eval/steps_per_second ▅▇█▁▃▁▄
wandb:             train/epoch ▁▁▁▂▂▂▂▂▂▃▃▃▃▃▄▄▄▄▄▄▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇████
wandb:       train/global_step ▁▁▁▂▂▂▂▂▂▃▃▃▃▃▄▄▄▄▄▄▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇████
wandb:         train/grad_norm █▃▂▂▁▂▂▂▁▂▂▂▃▁▂▂▂▂▁▂▁▂▁▁▁▂▂▁▂▂▂▂▁▂▁▁▁▁▂▁
wandb:     train/learning_rate ▂▄▅▆██████▇▇▇▇▇▆▆▆▆▅▅▅▅▄▄▄▃▃▃▃▂▂▂▂▁▁▁▁▁▁
wandb:              train/loss █▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁
wandb: 
wandb: Run summary:
wandb:            eval/accuracy 0.8984
wandb:                eval/loss 0.43685
wandb:             eval/runtime 232.12
wandb:  eval/samples_per_second 10.77
wandb:    eval/steps_per_second 10.77
wandb:               total_flos 2.9041541335076045e+18
wandb:              train/epoch 6.0
wandb:        train/global_step 528
wandb:          train/grad_norm 0.40175
wandb:      train/learning_rate 0.0
wandb:               train/loss 0.0486
wandb:               train_loss 0.28718
wandb:            train_runtime 47077.7992
wandb: train_samples_per_second 2.868
wandb:   train_steps_per_second 0.011
wandb: 
wandb: 🚀 View run internlm2_5_7b_p2_l40 at: https://wandb.ai/inflaton-ai/huggingface/runs/dpm5rcwx
wandb: ⭐️ View project at: https://wandb.ai/inflaton-ai/huggingface
wandb: Synced 6 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)
wandb: Find logs at: ./wandb/run-20240713_154033-dpm5rcwx/logs
wandb: WARNING The new W&B backend becomes opt-out in version 0.18.0; try it out with `wandb.require("core")`! See https://wandb.me/wandb-core for more information.
Job ID: 71125
Cluster: crimson
User/Group: dh.huang.2023/dh.huang.2023
State: RUNNING
Nodes: 1
Cores per node: 10
CPU Utilized: 12:46:29
CPU Efficiency: 9.71% of 5-11:32:10 core-walltime
Job Wall-clock time: 13:09:13
Memory Utilized: 2.41 GB
Memory Efficiency: 0.94% of 256.00 GB
WARNING: Efficiency statistics may be misleading for RUNNING jobs.