Upload folder using huggingface_hub

.d0000139204

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+#!/bin/sh
+#PJM -L rscgrp=a-batch
+#PJM -L vnode-core=4
+#PJM -L elapse=24:00:00
+#PJM -j
+#PJM -S
+
+source $HOME/venv/eugene/bin/activate
+
+huggingface-cli upload lihkg-story . .

.d0000139204_nodeinfo

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+172.16.13.43

README.md

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+---
+license: other
+base_model: hon9kon9ize/CantoneseLLM-v0.5
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: model
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# model
+
+This model is a fine-tuned version of [hon9kon9ize/CantoneseLLM-v0.5](https://huggingface.co/hon9kon9ize/CantoneseLLM-v0.5) on the lihkg_story_sft_v2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.9276
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 20
+- eval_batch_size: 22
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 1280
+- total_eval_batch_size: 88
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cpu
+- Datasets 2.19.1
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 1.0,
+    "eval_loss": 2.927582025527954,
+    "eval_runtime": 35.9792,
+    "eval_samples_per_second": 0.528,
+    "eval_steps_per_second": 0.028,
+    "total_flos": 1.2812634768277504e+16,
+    "train_loss": 0.5184584856033325,
+    "train_runtime": 389.4133,
+    "train_samples_per_second": 0.419,
+    "train_steps_per_second": 0.003
+}

checkpoint-1/config.json

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+{
+  "_name_or_path": "hon9kon9ize/CantoneseLLM-v0.5",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 4,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 5000000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.4",
+  "use_cache": false,
+  "vocab_size": 64960
+}

checkpoint-1/generation_config.json

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+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.42.4"
+}

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checkpoint-1/special_tokens_map.json

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+    "<|System|>"
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+  "chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|im_start|><|System|>\n' + system_message + '<|im_end|>\n' }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|><|Human|>\n' + content + '<|im_end|>\n<|im_start|><|Assistant|>\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>' + '\n' }}{% endif %}{% endfor %}",
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checkpoint-1/trainer_state.json

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config.json

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+{
+  "_name_or_path": "hon9kon9ize/CantoneseLLM-v0.5",
+  "architectures": [
+    "LlamaForCausalLM"
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eval_results.json

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+    "eval_runtime": 35.9792,
+    "eval_samples_per_second": 0.528,
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generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.42.4"
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hf_upload.sh

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+#!/bin/sh
+#PJM -L rscgrp=a-batch
+#PJM -L vnode-core=4
+#PJM -L elapse=24:00:00
+#PJM -j
+#PJM -S
+
+source $HOME/venv/eugene/bin/activate
+
+huggingface-cli upload lihkg-story . .

hf_upload.sh.139186.out

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+/home/pj24001684/ku40000295/jc/6B_4GPU_story/model/.d0000139186: 行 8: eugene: コマンドが見つかりません
+Traceback (most recent call last):
+  File "/home/pj24001684/ku40000295/.local/bin/huggingface-cli", line 5, in <module>
+    from huggingface_hub.commands.huggingface_cli import main
+ModuleNotFoundError: No module named 'huggingface_hub'

hf_upload.sh.139186.stats

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+Job Statistical Information
+
+ JOB ID                    : 139186
+ SUB JOB NUM               : -
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hf_upload.sh.139188.out

@@ -0,0 +1,2 @@
+Consider using `hf_transfer` for faster uploads. This solution comes with some limitations. See https://huggingface.co/docs/huggingface_hub/hf_transfer for more details.
+

hf_upload.sh.139188.stats

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+ UTILIZATION INFO OF POWER API : 0
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+ MIN POWER CONSUMPTION OF CPU/PKG(1) : 647.783796
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+
+--------------------------------------------------------------------------------
+Node Statistical Information
+
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+ MAX MEMORY SIZE (USE)     : 5962.4 MiB (6251974656)
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+ ENERGY CONSUMPTION OF NODE (MEASURED) : 30.287976
+ UTILIZATION INFO OF POWER API : 0
+ AVG POWER CONSUMPTION OF CPU/PKG(0) : 205.530028
+ AVG POWER CONSUMPTION OF CPU/PKG(1) : 195.977776
+ MAX POWER CONSUMPTION OF CPU/PKG(0) : 224.202909
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+ MIN POWER CONSUMPTION OF CPU/PKG(1) : 181.194604
+ ENERGY CONSUMPTION OF CPU/PKG(0) : 15.203161
+ ENERGY CONSUMPTION OF CPU/PKG(1) : 14.496576
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+ MAX POWER CONSUMPTION OF MEM/PKG(1) : 4.470709
+ MIN POWER CONSUMPTION OF MEM/PKG(0) : 3.431021
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+ ENERGY CONSUMPTION OF MEM/PKG(1) : 0.328730
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+ POWER CONSUMPTION MEASURE START DATE : 2024/08/07 16:55:46
+ POWER CONSUMPTION MEASURE END DATE : 2024/08/07 17:00:12
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+
+--------------------------------------------------------------------------------
+Node Statistical Information
+
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+ ENERGY CONSUMPTION OF NODE (MEASURED) : 23.935028
+ UTILIZATION INFO OF POWER API : 0
+ AVG POWER CONSUMPTION OF CPU/PKG(0) : 163.656683
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+
+--------------------------------------------------------------------------------
+Node Statistical Information
+
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+  "chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|im_start|><|System|>\n' + system_message + '<|im_end|>\n' }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|><|Human|>\n' + content + '<|im_end|>\n<|im_start|><|Assistant|>\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>' + '\n' }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "legacy": true,
+  "model_max_length": 4096,
+  "pad_token": "<unk>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "split_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "total_flos": 1.2812634768277504e+16,
+    "train_loss": 0.5184584856033325,
+    "train_runtime": 389.4133,
+    "train_samples_per_second": 0.419,
+    "train_steps_per_second": 0.003
+}

trainer_log.jsonl

@@ -0,0 +1 @@
+{"current_steps": 1, "total_steps": 1, "epoch": 1.0, "percentage": 100.0, "elapsed_time": "0:06:30", "remaining_time": "0:00:00", "throughput": "0.00", "total_tokens": 0}

trainer_state.json

@@ -0,0 +1,42 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.0,
+  "eval_steps": 200,
+  "global_step": 1,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "step": 1,
+      "total_flos": 1.2812634768277504e+16,
+      "train_loss": 0.5184584856033325,
+      "train_runtime": 389.4133,
+      "train_samples_per_second": 0.419,
+      "train_steps_per_second": 0.003
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 1,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.2812634768277504e+16,
+  "train_batch_size": 20,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:573d28203023b762697e41b321f7b278ffbc8a3dcd73eff82e6530f8f35d29db
+size 5304