{"id":57607,"date":"2025-08-15T16:10:15","date_gmt":"2025-08-15T08:10:15","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/57607.html"},"modified":"2025-08-15T16:10:15","modified_gmt":"2025-08-15T08:10:15","slug":"%e3%80%90%e7%ac%ac%e5%9b%9b%e7%ab%a0%e5%a4%a7%e6%a8%a1%e5%9e%8b%ef%bc%88llm%e3%80%9105-llm%e5%ae%9e%e6%88%98%ef%bc%9a-%e5%ae%9e%e7%8e%b0gpt2-7%e6%a8%a1%e5%9e%8b%e8%ae%ad%e7%bb%83%e4%b8%8e%e5%be%ae","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/57607.html","title":{"rendered":"\u3010\u7b2c\u56db\u7ae0:\u5927\u6a21\u578b\uff08LLM)\u301105.LLM\u5b9e\u6218\uff1a \u5b9e\u73b0GPT2-(7)\u6a21\u578b\u8bad\u7ec3\u4e0e\u5fae\u8c03"},"content":{"rendered":"<h2>\u7b2c\u56db\u7ae0&#xff1a;\u5927\u6a21\u578b&#xff08;LLM&#xff09;<\/h2>\n<h3>\u7b2c\u4e94\u90e8\u5206&#xff1a;LLM\u5b9e\u6218&#xff1a; \u5b9e\u73b0GPT2<\/h3>\n<h4>\u7b2c\u516d\u8282&#xff1a;\u6a21\u578b\u8bad\u7ec3\u4e0e\u5fae\u8c03<\/h4>\n<p style=\"text-align:center\"><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"703\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250815081005-689eeb5d8f0c0.gif\" width=\"800\" \/><\/p>\n<hr \/>\n<h4>1. \u524d\u7f6e\u56de\u987e<\/h4>\n<p>\u5728\u4e0a\u4e00\u8282\u4e2d&#xff0c;\u6211\u4eec\u5df2\u7ecf\u5b8c\u6210\u4e86&#xff1a;<\/p>\n<ul>\n<li>\n<p>Token \u2192 Embedding<\/p>\n<\/li>\n<li>\n<p>\u5206\u8bcd\u5668&#xff08;Tokenizer&#xff09;<\/p>\n<\/li>\n<li>\n<p>Attention \u4e0e Multi-Head Attention<\/p>\n<\/li>\n<li>\n<p>\u6b8b\u5dee&#xff08;Residual&#xff09;\u4e0e\u524d\u9988\u7f51\u7edc&#xff08;FFN&#xff09;<\/p>\n<\/li>\n<li>\n<p>\u8f93\u51fa\u5c42&#xff08;logits \u751f\u6210&#xff09;<\/p>\n<\/li>\n<li>\n<p>\u91c7\u6837\u65b9\u6cd5&#xff08;\u8d2a\u5a6a\u3001temperature\u3001top-k\/top-p&#xff09;<\/p>\n<\/li>\n<\/ul>\n<p>\u73b0\u5728&#xff0c;\u6211\u4eec\u7684 GPT-2 \u6a21\u578b\u67b6\u6784\u5df2\u7ecf\u642d\u597d&#xff0c;\u63a5\u4e0b\u6765\u8981\u8ba9\u5b83\u5b66\u4f1a\u8bed\u8a00\u6a21\u5f0f&#xff0c;\u5fc5\u987b\u901a\u8fc7 \u8bad\u7ec3 \u6216 \u5fae\u8c03&#xff08;fine-tuning&#xff09;\u3002<\/p>\n<hr \/>\n<h4>2. \u6a21\u578b\u8bad\u7ec3\u7684\u76ee\u6807<\/h4>\n<p>\u8bad\u7ec3\u8fc7\u7a0b\u7684\u6838\u5fc3\u601d\u60f3&#xff1a;<\/p>\n<p>\u8ba9\u6a21\u578b\u6839\u636e\u4e0a\u4e0b\u6587\u9884\u6d4b\u4e0b\u4e00\u4e2a token&#xff0c;\u5e76\u4e0d\u65ad\u8c03\u6574\u53c2\u6570\u4ee5\u964d\u4f4e\u9884\u6d4b\u9519\u8bef\u7387&#xff08;loss&#xff09;\u3002<\/p>\n<p>\u6570\u5b66\u5f62\u5f0f&#xff1a;<\/p>\n<p style=\"text-align:center\"><img decoding=\"async\" alt=\"\\\\text{Loss} &#061; -\\\\frac{1}{N} \\\\sum_{i&#061;1}^{N} \\\\log P_\\\\theta(t_i | t_1, ..., t_{i-1})\" class=\"mathcode\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250815081013-689eeb65308f6.png\" \/><\/p>\n<ul>\n<li>\n<p>N\u00a0\u2014 token \u5e8f\u5217\u957f\u5ea6<\/p>\n<\/li>\n<li>\n<p><img decoding=\"async\" alt=\"t_i\" class=\"mathcode\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250815081013-689eeb65a9f37.png\" \/> \u2014 \u771f\u5b9e token<\/p>\n<\/li>\n<li>\n<p><img decoding=\"async\" alt=\"P_\\\\theta\" class=\"mathcode\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250815081014-689eeb661c86c.png\" \/> \u2014 \u6a21\u578b\u53c2\u6570\u4e0b\u7684\u9884\u6d4b\u6982\u7387\u5206\u5e03<\/p>\n<\/li>\n<\/ul>\n<p>GPT-2 \u7684\u8bad\u7ec3\u5b9e\u9645\u4e0a\u5c31\u662f\u4e00\u4e2a\u5927\u89c4\u6a21 \u81ea\u56de\u5f52\u8bed\u8a00\u5efa\u6a21 \u4efb\u52a1\u3002<\/p>\n<hr \/>\n<h4>3. \u6570\u636e\u51c6\u5907<\/h4>\n<h5>3.1 \u8bed\u6599\u6765\u6e90<\/h5>\n<ul>\n<li>\n<p>\u9884\u8bad\u7ec3&#xff1a;\u4f7f\u7528\u5927\u89c4\u6a21\u516c\u5f00\u6570\u636e\u96c6&#xff08;Wiki, WebText, Books&#xff09;\u3002<\/p>\n<\/li>\n<li>\n<p>\u5fae\u8c03&#xff1a;\u4f7f\u7528\u9886\u57df\u6570\u636e&#xff08;\u6cd5\u5f8b\u3001\u533b\u7597\u3001\u91d1\u878d\u3001\u5bf9\u8bdd\u6570\u636e\u7b49&#xff09;\u3002<\/p>\n<\/li>\n<\/ul>\n<h5>3.2 \u5206\u8bcd &amp; \u7f16\u7801<\/h5>\n<p>from transformers import GPT2Tokenizer<\/p>\n<p>tokenizer &#061; GPT2Tokenizer.from_pretrained(&#039;gpt2&#039;)<br \/>\ntext &#061; &#034;\u4eca\u5929\u662f\u4e2a\u597d\u65e5\u5b50\u3002&#034;<br \/>\ntokens &#061; tokenizer.encode(text, return_tensors&#061;&#039;pt&#039;)  # shape: (1, seq_len)<\/p>\n<p>\u6ce8\u610f&#xff1a;<\/p>\n<ul>\n<li>\n<p>GPT-2 \u5206\u8bcd\u5668\u662f BPE&#xff08;Byte Pair Encoding&#xff09;&#xff0c;\u4e2d\u82f1\u6587\u90fd\u80fd\u5904\u7406\u3002<\/p>\n<\/li>\n<li>\n<p>\u8fd4\u56de\u662f token ID \u5f20\u91cf&#xff0c;\u7528\u4e8e\u6a21\u578b\u8f93\u5165\u3002<\/p>\n<\/li>\n<\/ul>\n<hr \/>\n<h4>4. \u8bad\u7ec3\u6d41\u7a0b<\/h4>\n<h5>4.1 \u6838\u5fc3\u6b65\u9aa4<\/h5>\n<li>\n<p>\u6279\u91cf\u5316\u6570\u636e&#xff08;batching&#xff09;<\/p>\n<\/li>\n<li>\n<p>\u524d\u5411\u4f20\u64ad&#xff08;forward pass&#xff09;<\/p>\n<\/li>\n<li>\n<p>\u8ba1\u7b97\u635f\u5931&#xff08;loss&#xff09;<\/p>\n<\/li>\n<li>\n<p>\u53cd\u5411\u4f20\u64ad&#xff08;backpropagation&#xff09;<\/p>\n<\/li>\n<li>\n<p>\u4f18\u5316\u5668\u66f4\u65b0\u53c2\u6570&#xff08;optimizer step&#xff09;<\/p>\n<\/li>\n<li>\n<p>\u91cd\u590d\u591a\u4e2a epoch<\/p>\n<\/li>\n<h5>4.2 \u4ee3\u7801\u793a\u4f8b&#xff08;PyTorch&#xff09;<\/h5>\n<p>from torch.optim import AdamW<br \/>\nfrom transformers import GPT2LMHeadModel, GPT2Tokenizer<\/p>\n<p># 1. \u52a0\u8f7d\u6a21\u578b\u4e0e\u5206\u8bcd\u5668<br \/>\nmodel &#061; GPT2LMHeadModel.from_pretrained(&#039;gpt2&#039;)<br \/>\ntokenizer &#061; GPT2Tokenizer.from_pretrained(&#039;gpt2&#039;)<br \/>\ntokenizer.pad_token &#061; tokenizer.eos_token<\/p>\n<p># 2. \u6570\u636e<br \/>\ntexts &#061; [&#034;\u4eca\u5929\u662f\u4e2a\u597d\u65e5\u5b50\u3002&#034;, &#034;\u673a\u5668\u5b66\u4e60\u6b63\u5728\u6539\u53d8\u4e16\u754c\u3002&#034;]<br \/>\nencodings &#061; tokenizer(texts, return_tensors&#061;&#039;pt&#039;, padding&#061;True, truncation&#061;True)<\/p>\n<p># 3. \u4f18\u5316\u5668<br \/>\noptimizer &#061; AdamW(model.parameters(), lr&#061;5e-5)<\/p>\n<p># 4. \u8bad\u7ec3\u5faa\u73af<br \/>\nmodel.train()<br \/>\nfor epoch in range(3):<br \/>\n    optimizer.zero_grad()<br \/>\n    outputs &#061; model(**encodings, labels&#061;encodings[&#039;input_ids&#039;])<br \/>\n    loss &#061; outputs.loss<br \/>\n    loss.backward()<br \/>\n    optimizer.step()<br \/>\n    print(f&#034;Epoch {epoch &#043; 1} Loss: {loss.item():.4f}&#034;)<\/p>\n<p>\u8fd0\u884c\u7ed3\u679c<\/p>\n<p>Epoch 1 Loss: 5.1916<br \/>\nEpoch 2 Loss: 3.5485<br \/>\nEpoch 3 Loss: 2.6843<\/p>\n<hr \/>\n<h4>5. \u5fae\u8c03&#xff08;Fine-tuning&#xff09;<\/h4>\n<h5>5.1 \u4e0e\u9884\u8bad\u7ec3\u7684\u533a\u522b<\/h5>\n<ul>\n<li>\n<p>\u9884\u8bad\u7ec3&#xff1a;\u4ece\u96f6\u5f00\u59cb&#xff0c;\u53c2\u6570\u968f\u673a\u521d\u59cb\u5316&#xff0c;\u9700\u8981\u5de8\u91cf\u6570\u636e\u548c\u7b97\u529b\u3002<\/p>\n<\/li>\n<li>\n<p>\u5fae\u8c03&#xff1a;\u5728\u5df2\u6709\u7684\u9884\u8bad\u7ec3\u6a21\u578b\u4e0a\u7ee7\u7eed\u8bad\u7ec3&#xff0c;\u6570\u636e\u89c4\u6a21\u5c0f\u5f97\u591a&#xff0c;\u4f46\u80fd\u5feb\u901f\u9002\u5e94\u7279\u5b9a\u4efb\u52a1\/\u9886\u57df\u3002<\/p>\n<\/li>\n<\/ul>\n<h5>5.2 \u5fae\u8c03\u7b56\u7565<\/h5>\n<ul>\n<li>\n<p>\u5168\u53c2\u6570\u5fae\u8c03&#xff1a;\u66f4\u65b0\u6240\u6709\u6743\u91cd&#xff08;\u9002\u5408\u7b97\u529b\u5145\u8db3&#xff09;<\/p>\n<\/li>\n<li>\n<p>\u90e8\u5206\u5c42\u5fae\u8c03&#xff1a;\u4ec5\u8bad\u7ec3\u6700\u540e\u51e0\u5c42<\/p>\n<\/li>\n<li>\n<p>\u53c2\u6570\u9ad8\u6548\u5fae\u8c03&#xff08;PEFT&#xff09;&#xff1a;\u5982 LoRA\u3001Prefix-Tuning&#xff0c;\u53ea\u66f4\u65b0\u5c11\u91cf\u53c2\u6570<\/p>\n<\/li>\n<\/ul>\n<h5>5.3 LoRA \u793a\u4f8b<\/h5>\n<p>from peft import get_peft_model, LoraConfig<\/p>\n<p>config &#061; LoraConfig(<br \/>\n    r&#061;8, lora_alpha&#061;32, target_modules&#061;[&#034;c_attn&#034;],<br \/>\n    lora_dropout&#061;0.1, bias&#061;&#034;none&#034;, task_type&#061;&#034;CAUSAL_LM&#034;<br \/>\n)<br \/>\nmodel &#061; get_peft_model(model, config)<\/p>\n<hr \/>\n<h4>6. \u8d85\u53c2\u6570\u9009\u62e9<\/h4>\n<table>\n<tr>\u53c2\u6570\u8bf4\u660eGPT-2 \u7ecf\u9a8c\u503c<\/tr>\n<tbody>\n<tr>\n<td>batch_size<\/td>\n<td>\u6bcf\u6b21\u68af\u5ea6\u66f4\u65b0\u7684\u6837\u672c\u6570<\/td>\n<td>8~64<\/td>\n<\/tr>\n<tr>\n<td>learning_rate<\/td>\n<td>\u5b66\u4e60\u7387<\/td>\n<td>5e-51e-4&#xff08;\u5fae\u8c03&#xff09;&#xff0c;1e-45e-4&#xff08;\u9884\u8bad\u7ec3&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>max_seq_len<\/td>\n<td>\u5e8f\u5217\u6700\u5927\u957f\u5ea6<\/td>\n<td>512~1024<\/td>\n<\/tr>\n<tr>\n<td>epochs<\/td>\n<td>\u8bad\u7ec3\u8f6e\u6570<\/td>\n<td>3~10&#xff08;\u89c6\u6570\u636e\u91cf&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>warmup_steps<\/td>\n<td>\u5b66\u4e60\u7387\u9884\u70ed\u6b65\u6570<\/td>\n<td>\u603b\u6b65\u6570\u7684 1~5%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr \/>\n<h4>7. \u8bad\u7ec3\u6280\u5de7<\/h4>\n<ul>\n<li>\n<p>\u68af\u5ea6\u7d2f\u79ef&#xff08;gradient accumulation&#xff09;&#xff1a;\u663e\u5b58\u4e0d\u591f\u65f6&#xff0c;\u5c06\u591a\u4e2a\u5c0f batch \u7684\u68af\u5ea6\u7d2f\u79ef\u8d77\u6765\u518d\u66f4\u65b0\u3002<\/p>\n<\/li>\n<li>\n<p>\u6df7\u5408\u7cbe\u5ea6&#xff08;FP16&#xff09;\u8bad\u7ec3&#xff1a;\u63d0\u5347\u901f\u5ea6\u3001\u964d\u4f4e\u663e\u5b58\u3002<\/p>\n<\/li>\n<li>\n<p>\u68af\u5ea6\u88c1\u526a&#xff08;clip gradients&#xff09;&#xff1a;\u907f\u514d\u68af\u5ea6\u7206\u70b8\u3002<\/p>\n<\/li>\n<li>\n<p>\u5b9a\u671f\u4fdd\u5b58\u68c0\u67e5\u70b9&#xff08;checkpoint&#xff09;&#xff1a;\u9632\u6b62\u4e2d\u9014\u8bad\u7ec3\u4e2d\u65ad\u4e22\u5931\u8fdb\u5ea6\u3002<\/p>\n<\/li>\n<\/ul>\n<hr \/>\n<h4>8. \u63a8\u7406&#xff08;Inference&#xff09;<\/h4>\n<p>\u5fae\u8c03\u5b8c\u6210\u540e&#xff0c;\u5373\u53ef\u7528\u6a21\u578b\u751f\u6210\u6587\u672c&#xff1a;<\/p>\n<p>model.eval()<br \/>\nprompt &#061; &#034;\u4eba\u5de5\u667a\u80fd\u7684\u672a\u6765\u662f&#034;<br \/>\ninputs &#061; tokenizer(prompt, return_tensors&#061;&#039;pt&#039;)<br \/>\noutput_ids &#061; model.generate(<br \/>\n    **inputs,<br \/>\n    max_length&#061;50,<br \/>\n    temperature&#061;0.7,<br \/>\n    top_k&#061;50,<br \/>\n    top_p&#061;0.9,<br \/>\n    do_sample&#061;True<br \/>\n)<br \/>\nprint(tokenizer.decode(output_ids[0], skip_special_tokens&#061;True))<\/p>\n<hr \/>\n<h4>9. \u53ef\u89c6\u5316 &amp; \u76d1\u63a7<\/h4>\n<ul>\n<li>\n<p>loss \u66f2\u7ebf&#xff1a;\u89c2\u5bdf\u6536\u655b\u60c5\u51b5<\/p>\n<\/li>\n<li>\n<p>\u751f\u6210\u6837\u4f8b&#xff1a;\u6bcf\u9694 N step \u8f93\u51fa\u6a21\u578b\u751f\u6210\u6587\u672c<\/p>\n<\/li>\n<li>\n<p>\u6743\u91cd\u53d8\u5316&#xff1a;\u53ef\u7528 TensorBoard \u76d1\u63a7\u68af\u5ea6\u5206\u5e03<\/p>\n<\/li>\n<\/ul>\n<hr \/>\n<h4>10. \u672c\u8282\u603b\u7ed3<\/h4>\n<ul>\n<li>\n<p>GPT-2 \u8bad\u7ec3\u76ee\u6807&#xff1a;\u6700\u5c0f\u5316\u4e0b\u4e00\u4e2a token \u7684\u8d1f\u5bf9\u6570\u4f3c\u7136\u635f\u5931<\/p>\n<\/li>\n<li>\n<p>\u5fae\u8c03\u662f\u8ba9\u901a\u7528\u8bed\u8a00\u6a21\u578b\u5feb\u901f\u9002\u914d\u7279\u5b9a\u4efb\u52a1\u7684\u9ad8\u6548\u65b9\u5f0f<\/p>\n<\/li>\n<li>\n<p>\u8bad\u7ec3\u8fc7\u7a0b\u9700\u6ce8\u610f\u6570\u636e\u51c6\u5907\u3001\u8d85\u53c2\u6570\u8bbe\u7f6e\u3001\u4f18\u5316\u7b56\u7565<\/p>\n<\/li>\n<li>\n<p>\u63a8\u7406\u9636\u6bb5\u53ef\u7528\u91c7\u6837\u7b56\u7565&#xff08;temperature\u3001top-k\u3001top-p&#xff09;\u63a7\u5236\u751f\u6210\u591a\u6837\u6027<\/p>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>\u6587\u7ae0\u6d4f\u89c8\u9605\u8bfb1k\u6b21\uff0c\u70b9\u8d5e34\u6b21\uff0c\u6536\u85cf26\u6b21\u3002\u672c\u6587\u4ecb\u7ecd\u4e86GPT-2\u6a21\u578b\u7684\u8bad\u7ec3\u4e0e\u5fae\u8c03\u8fc7\u7a0b\u3002\u9996\u5148\u56de\u987e\u4e86\u6a21\u578b\u67b6\u6784\u7684\u5173\u952e\u7ec4\u4ef6\uff0c\u5305\u62ec\u5206\u8bcd\u5668\u3001\u6ce8\u610f\u529b\u673a\u5236\u7b49\u3002\u91cd\u70b9\u9610\u8ff0\u4e86\u8bad\u7ec3\u76ee\u6807\u662f\u901a\u8fc7\u4e0a\u4e0b\u6587\u9884\u6d4b\u4e0b\u4e00\u4e2atoken\u6765\u4f18\u5316\u53c2\u6570\u3002\u8be6\u7ec6\u8bf4\u660e\u4e86\u6570\u636e\u51c6\u5907\u3001\u8bad\u7ec3\u6d41\u7a0b\uff08\u5305\u62ec\u6279\u5904\u7406\u3001\u524d\u5411\u4f20\u64ad\u3001\u53cd\u5411\u4f20\u64ad\u7b49\u6b65\u9aa4\uff09\u548c\u5fae\u8c03\u7b56\u7565\uff08\u5168\u53c2\u6570\u5fae\u8c03\u3001\u90e8\u5206\u5c42\u5fae\u8c03\u53caLoRA\u7b49\u9ad8\u6548\u65b9\u6cd5\uff09\u3002\u63d0\u4f9b\u4e86PyTorch\u4ee3\u7801\u793a\u4f8b\uff0c\u5e76\u8ba8\u8bba\u4e86\u8d85\u53c2\u6570\u9009\u62e9\u3001\u8bad\u7ec3\u6280\u5de7\uff08\u68af\u5ea6\u7d2f\u79ef\u3001\u6df7\u5408\u7cbe\u5ea6\u7b49\uff09\u548c\u63a8\u7406\u65f6\u7684\u6587\u672c\u751f\u6210\u65b9\u6cd5\u3002\u6700\u540e\u5f3a\u8c03\u4e86\u8bad\u7ec3\u76d1\u63a7\u548c\u53ef\u89c6\u5316\u7684\u91cd\u8981\u6027\uff0c\u603b\u7ed3\u6307\u51fa\u5fae\u8c03\u662f\u4f7f\u901a\u7528\u6a21\u578b\u9002\u914d\u7279\u5b9a\u4efb\u52a1\u7684\u6709\u6548\u65b9\u5f0f\u3002<\/p>\n","protected":false},"author":2,"featured_media":57603,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[346,75,50,4929,132],"topic":[],"class_list":["post-57607","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-embedding","tag-llm","tag-50","tag-4929","tag-132"],"yoast_head":"<!-- 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