commit fd3eeb9e96d1a35076cbf863211ce8156239f83d
Author: ModelHub XC <noreply@modelhub.org.cn>
Date:   Fri Jun 26 23:06:12 2026 +0800

    初始化项目，由ModelHub XC社区提供模型
    
    Model: mlfoundations-dev/oh-dcft-v3.1-claude-3-5-sonnet-20241022
    Source: Original Platform

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diff --git a/README.md b/README.md
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+---
+library_name: transformers
+license: llama3.1
+base_model: meta-llama/Meta-Llama-3.1-8B
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: oh-dcft-v3.1-claude-3-5-sonnet-20241022
+  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. -->
+
+# oh-dcft-v3.1-claude-3-5-sonnet-20241022
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the mlfoundations-dev/oh-dcft-v3.1-claude-3-5-sonnet-20241022 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4631
+
+## 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: 5e-06
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 512
+- total_eval_batch_size: 64
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: constant
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.4822        | 0.9986 | 454  | 0.4843          |
+| 0.4246        | 1.9995 | 909  | 0.4651          |
+| 0.3735        | 2.9959 | 1362 | 0.4631          |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.3.0
+- Datasets 3.1.0
+- Tokenizers 0.20.3
diff --git a/all_results.json b/all_results.json
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+{
+    "epoch": 2.995875721748694,
+    "eval_loss": 0.46309909224510193,
+    "eval_runtime": 303.4791,
+    "eval_samples_per_second": 40.369,
+    "eval_steps_per_second": 0.633,
+    "total_flos": 2281191348633600.0,
+    "train_loss": 0.44531785190192963,
+    "train_runtime": 45435.4893,
+    "train_samples_per_second": 15.368,
+    "train_steps_per_second": 0.03
+}
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diff --git a/config.json b/config.json
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+{
+  "_name_or_path": "meta-llama/Meta-Llama-3.1-8B",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 8.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.1",
+  "use_cache": false,
+  "vocab_size": 128256
+}
diff --git a/configs.yaml b/configs.yaml
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+adam_beta1: '0.9'
+adam_beta2: '0.999'
+bf16: 'True'
+cutoff_len: '2048'
+dataset: mlfoundations-dev/oh-dcft-v3.1-claude-3-5-sonnet-20241022
+dataset_dir: ONLINE
+ddp_timeout: '180000000'
+deepspeed: /opt/ml/code/zero3.json
+do_train: 'True'
+enable_liger_kernel: 'False'
+eval_strategy: epoch
+finetuning_type: full
+formatting: sharegpt
+global_batch_size: '512'
+gradient_accumulation_steps: '8'
+gradient_checkpointing: 'True'
+hub_model_id: mlfoundations-dev/oh-dcft-v3.1-claude-3-5-sonnet-20241022
+learning_rate: 5e-06
+logging_steps: '10'
+lr_scheduler_type: constant
+max_grad_norm: '1'
+messages: conversations
+model_name_or_path: meta-llama/Meta-Llama-3.1-8B
+neat_packing: 'True'
+num_train_epochs: '3.0'
+output_dir: /opt/ml/model
+overwrite_cache: 'True'
+overwrite_output_dir: 'True'
+packing: 'True'
+per_device_train_batch_size: '8'
+plot_loss: 'True'
+preprocessing_num_workers: '16'
+push_to_db: 'True'
+push_to_hub: 'True'
+report_to: wandb
+run_name: oh-dcft-v3.1-claude-3-5-sonnet-20241022
+save_strategy: epoch
+stage: sft
+template: llama3
+val_size: '0.05'
+weight_decay: '0.1'
diff --git a/configuration.json b/configuration.json
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+++ b/configuration.json
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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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diff --git a/eval_results.json b/eval_results.json
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+    "epoch": 2.995875721748694,
+    "eval_loss": 0.46309909224510193,
+    "eval_runtime": 303.4791,
+    "eval_samples_per_second": 40.369,
+    "eval_steps_per_second": 0.633
+}
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+  "do_sample": true,
+  "eos_token_id": 128001,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.46.1"
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+    }
+  },
+  "bos_token": "<|begin_of_text|>",
+  "chat_template": "{{ '<|begin_of_text|>' }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ '<|start_header_id|>system<|end_header_id|>\n\n' + system_message + '<|eot_id|>' }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|start_header_id|>user<|end_header_id|>\n\n' + content + '<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|eot_id|>' }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|eot_id|>",
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 131072,
+  "pad_token": "<|eot_id|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}
diff --git a/train_results.json b/train_results.json
new file mode 100644
index 0000000..442c466
--- /dev/null
+++ b/train_results.json
@@ -0,0 +1,8 @@
+{
+    "epoch": 2.995875721748694,
+    "total_flos": 2281191348633600.0,
+    "train_loss": 0.44531785190192963,
+    "train_runtime": 45435.4893,
+    "train_samples_per_second": 15.368,
+    "train_steps_per_second": 0.03
+}
\ No newline at end of file
diff --git a/trainer_log.jsonl b/trainer_log.jsonl
new file mode 100644
index 0000000..8653b40
--- /dev/null
+++ b/trainer_log.jsonl
@@ -0,0 +1,140 @@
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+{"current_steps": 50, "total_steps": 1362, "loss": 0.5951, "lr": 5e-06, "epoch": 0.10998075336816057, "percentage": 3.67, "elapsed_time": "0:27:05", "remaining_time": "11:50:58"}
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+{"current_steps": 100, "total_steps": 1362, "loss": 0.5403, "lr": 5e-06, "epoch": 0.21996150673632114, "percentage": 7.34, "elapsed_time": "0:54:05", "remaining_time": "11:22:41"}
+{"current_steps": 110, "total_steps": 1362, "loss": 0.5409, "lr": 5e-06, "epoch": 0.24195765740995326, "percentage": 8.08, "elapsed_time": "0:59:29", "remaining_time": "11:17:04"}
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