初始化项目，由ModelHub XC社区提供模型

Model: alwaysgood/QWEN3-4B-CPT
Source: Original Platform

.gitattributes

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+*.ckpt filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+base_model: unsloth/Qwen3-4B-Base
+library_name: transformers
+model_name: checkpoints
+tags:
+- generated_from_trainer
+- sft
+- unsloth
+- trl
+licence: license
+---
+
+# Model Card for checkpoints
+
+This model is a fine-tuned version of [unsloth/Qwen3-4B-Base](https://huggingface.co/unsloth/Qwen3-4B-Base).
+It has been trained using [TRL](https://github.com/huggingface/trl).
+
+## Quick start
+
+```python
+from transformers import pipeline
+
+question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+generator = pipeline("text-generation", model="None", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/hiloong/mono-cpt/runs/sxp4zkdr) 
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- TRL: 0.24.0
+- Transformers: 5.5.3
+- Pytorch: 2.9.0+cu128
+- Datasets: 4.3.0
+- Tokenizers: 0.22.2
+
+## Citations
+
+
+
+Cite TRL as:
+    
+```bibtex
+@misc{vonwerra2022trl,
+	title        = {{TRL: Transformer Reinforcement Learning}},
+	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```

all_results.json

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+    "eval_steps_per_second": 0.693,
+    "total_flos": 2.103177196962902e+18,
+    "train_loss": 1.7256613558986822,
+    "train_runtime": 29239.084,
+    "train_samples_per_second": 1.616,
+    "train_steps_per_second": 0.051
+}

checkpoint-1477/config.json

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+  ],
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+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2560,
+  "initializer_range": 0.02,
+  "intermediate_size": 9728,
+  "layer_types": [
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+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 32768,
+  "max_window_layers": 36,
+  "model_name": "unsloth/Qwen3-4B-Base",
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "pad_token_id": 151669,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
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+    "rope_type": "default"
+  },
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+  "tie_word_embeddings": true,
+  "transformers_version": "5.5.3",
+  "unsloth_fixed": true,
+  "unsloth_version": "2026.4.4",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

checkpoint-1477/generation_config.json

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checkpoint-1477/tokenizer_config.json

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config.json

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eval/summary.json

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+    "label": "final",
+    "ppl": 5.476611910214701,
+    "base_ppl": 6.23081716116593,
+    "path": "/home/unsloth/scp_stage1_cpt/artifacts/cpt_full_96gb_qwen3_4b/checkpoints"
+  }
+]

eval_results.json

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generation_config.json

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tokenizer/tokenizer_config.json

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tokenizer_config.json

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train_results.json

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