【AIGC】深入理解 LORA模型

深入理解 LORA模型

LORA模型是一种神经网络模型，它通过学习可以自动调整神经网络中各层之间的权重，以提高模型的性能。本文将深入探讨LORA模型的原理、应用场景、优缺点等方面。

1. LORA模型的原理

LORA模型的全称为Learnable Re-Weighting，即可学习的重加权模型。它主要是通过对神经网络中各层之间的权重进行学习，来提高模型的性能。具体来说，LORA模型通过学习到前一层和后一层之间的相关性，来自动调整当前层的权重，从而提高模型的性能。

LORA模型的基本思想是，将神经网络中的每一层看做是一个可加权的特征提取器，每一层的权重决定了它对模型输出的影响。LORA模型通过对权重的调整，可以让不同的层在不同的任务上发挥更好的作用。

在LORA模型中，每一层的权重由两个部分组成：上一层和下一层的权重。具体来说，假设当前层为第$i$层，上一层为第$i-1$层，下一层为第$i+1$层，则当前层的权重可以表示为：

$w_i={\alpha }_i\cdot W_{i-1}\cdot W_{i+1}$

其中，${\alpha }_i$为学习到的可学习参数，$W_{i-1}$和$W_{i+1}$分别为上一层和下一层的权重。通过对${\alpha }_i$的学习，LORA模型可以自动调整当前层的权重，从而提高模型的性能。

2. LORA模型的应用场景

LORA模型的应用场景比较广泛，主要应用在需要处理复杂数据的场景中，例如自然语言处理、计算机视觉等。在自然语言处理领域，LORA模型可以通过学习上下文语境来提高文本分类、情感分析等任务的性能。在计算机视觉领域，LORA模型可以通过学习不同层之间的相关性来提高图像分类、物体检测等任务的性能。

3. LORA模型的优缺点

LORA模型的主要优点是可以自动学习各层之间的相关性，从而提高模型的性能。与传统的手动调整权重不同，LORA模型可以通过学习数据来自动调整权重，避免了人为调整权重带来的局限性。

然而，LORA模型也存在一些缺点。首先，LORA模型的假设每一层只受到前一层和后一层的影响，这在某些情况下可能会导致一些问题，但是在某些应用中，这种假设可以简化模型的设计和实现。

在LORA模型中，每一层都有一个与之对应的上层权重和下层权重，这些权重可以通过学习来得到。在训练过程中，LORA模型会自动地调整这些权重，从而使得模型更加准确地学习到数据中的特征。

LORA模型的实现过程相对简单，只需要对模型中的每一层进行重加权操作，即对上层权重和下层权重进行加权相乘，得到新的权重，然后用这些新的权重来更新模型。这种重加权操作可以用PyTorch框架中的torch.mm()函数来实现。

总的来说，LORA模型是一种简单而有效的可学习重加权模型，能够在某些应用中显著提高模型的表现。但是，由于其假设的局限性，LORA模型可能不适用于某些数据集和应用场景。

4. LORA 模型组成

一个 LORA 模型，它由三部分组成：lora_down.weight、lora_up.weight 和 alpha。
其中 lora_down.weight 和 lora_up.weight 是 LORA 模型中的上下层权重，而 alpha 是权重更新时的缩放系数。

5. 命名方式

这些是PyTorch模型中各个层的权重和偏置的命名。在PyTorch中，每个层的权重和偏置都存储在一个名为state_dict的字典中。这些命名规则通常是由层的类型和层在模型中的位置决定的。例如，lora_te_text_model_encoder_layers_9_self_attn_k_proj.lora_up.weight表示LORA模型中第9个自注意力层的K投影层的上行权重。

6. LORA模型key实例

这些key用于在PyTorch中加载和保存LORA模型的权重参数。每个key都与LORA模型中的一个权重张量相关联。

# LORA模型中的权重参数的key

- lora_te_text_model_encoder_layers_0_mlp_fc1.alpha.
- lora_te_text_model_encoder_layers_0_mlp_fc1.lora_down.weight.
- lora_te_text_model_encoder_layers_0_mlp_fc1.lora_up.weight.
- lora_te_text_model_encoder_layers_0_mlp_fc2.alpha.
- lora_te_text_model_encoder_layers_0_mlp_fc2.lora_down.weight.
- lora_te_text_model_encoder_layers_0_mlp_fc2.lora_up.weight.
- lora_te_text_model_encoder_layers_0_self_attn_k_proj.alpha.
- lora_te_text_model_encoder_layers_0_self_attn_k_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_0_self_attn_k_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_0_self_attn_out_proj.alpha.
- lora_te_text_model_encoder_layers_0_self_attn_out_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_0_self_attn_out_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_0_self_attn_q_proj.alpha.
- lora_te_text_model_encoder_layers_0_self_attn_q_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_0_self_attn_q_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_0_self_attn_v_proj.alpha.
- lora_te_text_model_encoder_layers_0_self_attn_v_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_0_self_attn_v_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_10_mlp_fc1.alpha.
- lora_te_text_model_encoder_layers_10_mlp_fc1.lora_down.weight.
- lora_te_text_model_encoder_layers_10_mlp_fc1.lora_up.weight.
- lora_te_text_model_encoder_layers_10_mlp_fc2.alpha.
- lora_te_text_model_encoder_layers_10_mlp_fc2.lora_down.weight.
- lora_te_text_model_encoder_layers_10_mlp_fc2.lora_up.weight.
- lora_te_text_model_encoder_layers_10_self_attn_k_proj.alpha.
- lora_te_text_model_encoder_layers_10_self_attn_k_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_10_self_attn_k_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_10_self_attn_out_proj.alpha.
- lora_te_text_model_encoder_layers_10_self_attn_out_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_10_self_attn_out_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_10_self_attn_q_proj.alpha.
- lora_te_text_model_encoder_layers_10_self_attn_q_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_10_self_attn_q_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_10_self_attn_v_proj.alpha.
- lora_te_text_model_encoder_layers_10_self_attn_v_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_10_self_attn_v_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_11_mlp_fc1.alpha.
- lora_te_text_model_encoder_layers_11_mlp_fc1.lora_down.weight.
- lora_te_text_model_encoder_layers_11_mlp_fc1.lora_up.weight.
- lora_te_text_model_encoder_layers_11_mlp_fc2.alpha.
- lora_te_text_model_encoder_layers_11_mlp_fc2.lora_down.weight.
- lora_te_text_model_encoder_layers_11_mlp_fc2.lora_up.weight.
- lora_te_text_model_encoder_layers_11_self_attn_k_proj.alpha.
- lora_te_text_model_encoder_layers_11_self_attn_k_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_11_self_attn_k_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_11_self_attn_out_proj.alpha.
- lora_te_text_model_encoder_layers_11_self_attn_out_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_11_self_attn_out_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_11_self_attn_q_proj.alpha.
- lora_te_text_model_encoder_layers_11_self_attn_q_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_11_self_attn_q_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_11_self_attn_v_proj.alpha.
- lora_te_text_model_encoder_layers_11_self_attn_v_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_11_self_attn_v_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_1_mlp_fc1.alpha.
- lora_te_text_model_encoder_layers_1_mlp_fc1.lora_down.weight.
- lora_te_text_model_encoder_layers_1_mlp_fc1.lora_up.weight.
- lora_te_text_model_encoder_layers_1_mlp_fc2.alpha.
- lora_te_text_model_encoder_layers_1_mlp_fc2.lora_down.weight.
- lora_te_text_model_encoder_layers_1_mlp_fc2.lora_up.weight.
- lora_te_text_model_encoder_layers_1_self_attn_k_proj.alpha.
- lora_te_text_model_encoder_layers_1_self_attn_k_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_1_self_attn_k_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_1_self_attn_out_proj.alpha.
- lora_te_text_model_encoder_layers_1_self_attn_out_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_1_self_attn_out_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_1_self_attn_q_proj.alpha.
- lora_te_text_model_encoder_layers_1_self_attn_q_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_1_self_attn_q_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_1_self_attn_v_proj.alpha.
- lora_te_text_model_encoder_layers_1_self_attn_v_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_1_self_attn_v_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_2_mlp_fc1.alpha.
- lora_te_text_model_encoder_layers_2_mlp_fc1.lora_down.weight.
- lora_te_text_model_encoder_layers_2_mlp_fc1.lora_up.weight.
- lora_te_text_model_encoder_layers_2_mlp_fc2.alpha.
- lora_te_text_model_encoder_layers_2_mlp_fc2.lora_down.weight.
- lora_te_text_model_encoder_layers_2_mlp_fc2.lora_up.weight.
- lora_te_text_model_encoder_layers_2_self_attn_k_proj.alpha.
- lora_te_text_model_encoder_layers_2_self_attn_k_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_2_self_attn_k_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_2_self_attn_out_proj.alpha.
- lora_te_text_model_encoder_layers_2_self_attn_out_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_2_self_attn_out_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_2_self_attn_q_proj.alpha.
- lora_te_text_model_encoder_layers_2_self_attn_q_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_2_self_attn_q_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_2_self_attn_v_proj.alpha.
- lora_te_text_model_encoder_layers_2_self_attn_v_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_2_self_attn_v_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_3_mlp_fc1.alpha.
- lora_te_text_model_encoder_layers_3_mlp_fc1.lora_down.weight.
- lora_te_text_model_encoder_layers_3_mlp_fc1.lora_up.weight.
- lora_te_text_model_encoder_layers_3_mlp_fc2.alpha.
- lora_te_text_model_encoder_layers_3_mlp_fc2.lora_down.weight.
- lora_te_text_model_encoder_layers_3_mlp_fc2.lora_up.weight.
- lora_te_text_model_encoder_layers_3_self_attn_k_proj.alpha.
- lora_te_text_model_encoder_layers_3_self_attn_k_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_3_self_attn_k_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_3_self_attn_out_proj.alpha.
- lora_te_text_model_encoder_layers_3_self_attn_out_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_3_self_attn_out_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_3_self_attn_q_proj.alpha.
- lora_te_text_model_encoder_layers_3_self_attn_q_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_3_self_attn_q_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_3_self_attn_v_proj.alpha.
- lora_te_text_model_encoder_layers_3_self_attn_v_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_3_self_attn_v_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_4_mlp_fc1.alpha.
- lora_te_text_model_encoder_layers_4_mlp_fc1.lora_down.weight.
- lora_te_text_model_encoder_layers_4_mlp_fc1.lora_up.weight.
- lora_te_text_model_encoder_layers_4_mlp_fc2.alpha.
- lora_te_text_model_encoder_layers_4_mlp_fc2.lora_down.weight.
- lora_te_text_model_encoder_layers_4_mlp_fc2.lora_up.weight.
- lora_te_text_model_encoder_layers_4_self_attn_k_proj.alpha.
- lora_te_text_model_encoder_layers_4_self_attn_k_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_4_self_attn_k_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_4_self_attn_out_proj.alpha.
- lora_te_text_model_encoder_layers_4_self_attn_out_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_4_self_attn_out_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_4_self_attn_q_proj.alpha.
- lora_te_text_model_encoder_layers_4_self_attn_q_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_4_self_attn_q_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_4_self_attn_v_proj.alpha.
- lora_te_text_model_encoder_layers_4_self_attn_v_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_4_self_attn_v_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_5_mlp_fc1.alpha.
- lora_te_text_model_encoder_layers_5_mlp_fc1.lora_down.weight.
- lora_te_text_model_encoder_layers_5_mlp_fc1.lora_up.weight.
- lora_te_text_model_encoder_layers_5_mlp_fc2.alpha.
- lora_te_text_model_encoder_layers_5_mlp_fc2.lora_down.weight.
- lora_te_text_model_encoder_layers_5_mlp_fc2.lora_up.weight.
- lora_te_text_model_encoder_layers_5_self_attn_k_proj.alpha.
- lora_te_text_model_encoder_layers_5_self_attn_k_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_5_self_attn_k_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_5_self_attn_out_proj.alpha.
- lora_te_text_model_encoder_layers_5_self_attn_out_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_5_self_attn_out_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_5_self_attn_q_proj.alpha.
- lora_te_text_model_encoder_layers_5_self_attn_q_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_5_self_attn_q_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_5_self_attn_v_proj.alpha.
- lora_te_text_model_encoder_layers_5_self_attn_v_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_5_self_attn_v_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_6_mlp_fc1.alpha.
- lora_te_text_model_encoder_layers_6_mlp_fc1.lora_down.weight.
- lora_te_text_model_encoder_layers_6_mlp_fc1.lora_up.weight.
- lora_te_text_model_encoder_layers_6_mlp_fc2.alpha.
- lora_te_text_model_encoder_layers_6_mlp_fc2.lora_down.weight.
- lora_te_text_model_encoder_layers_6_mlp_fc2.lora_up.weight.
- lora_te_text_model_encoder_layers_6_self_attn_k_proj.alpha.
- lora_te_text_model_encoder_layers_6_self_attn_k_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_6_self_attn_k_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_6_self_attn_out_proj.alpha.
- lora_te_text_model_encoder_layers_6_self_attn_out_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_6_self_attn_out_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_6_self_attn_q_proj.alpha.
- lora_te_text_model_encoder_layers_6_self_attn_q_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_6_self_attn_q_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_6_self_attn_v_proj.alpha.
- lora_te_text_model_encoder_layers_6_self_attn_v_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_6_self_attn_v_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_7_mlp_fc1.alpha.
- lora_te_text_model_encoder_layers_7_mlp_fc1.lora_down.weight.
- lora_te_text_model_encoder_layers_7_mlp_fc1.lora_up.weight.
- lora_te_text_model_encoder_layers_7_mlp_fc2.alpha.
- lora_te_text_model_encoder_layers_7_mlp_fc2.lora_down.weight.
- lora_te_text_model_encoder_layers_7_mlp_fc2.lora_up.weight.
- lora_te_text_model_encoder_layers_7_self_attn_k_proj.alpha.
- lora_te_text_model_encoder_layers_7_self_attn_k_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_7_self_attn_k_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_7_self_attn_out_proj.alpha.
- lora_te_text_model_encoder_layers_7_self_attn_out_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_7_self_attn_out_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_7_self_attn_q_proj.alpha.
- lora_te_text_model_encoder_layers_7_self_attn_q_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_7_self_attn_q_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_7_self_attn_v_proj.alpha.
- lora_te_text_model_encoder_layers_7_self_attn_v_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_7_self_attn_v_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_8_mlp_fc1.alpha.
- lora_te_text_model_encoder_layers_8_mlp_fc1.lora_down.weight.
- lora_te_text_model_encoder_layers_8_mlp_fc1.lora_up.weight.
- lora_te_text_model_encoder_layers_8_mlp_fc2.alpha.
- lora_te_text_model_encoder_layers_8_mlp_fc2.lora_down.weight.
- lora_te_text_model_encoder_layers_8_mlp_fc2.lora_up.weight.
- lora_te_text_model_encoder_layers_8_self_attn_k_proj.alpha.
- lora_te_text_model_encoder_layers_8_self_attn_k_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_8_self_attn_k_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_8_self_attn_out_proj.alpha.
- lora_te_text_model_encoder_layers_8_self_attn_out_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_8_self_attn_out_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_8_self_attn_q_proj.alpha.
- lora_te_text_model_encoder_layers_8_self_attn_q_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_8_self_attn_q_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_8_self_attn_v_proj.alpha.
- lora_te_text_model_encoder_layers_8_self_attn_v_proj.lora_down.weight.
- lora_te_text_model_encoder_layers_8_self_attn_v_proj.lora_up.weight.
- lora_te_text_model_encoder_layers_9_mlp_fc1.alpha.
- lora_te_text_model_encoder_layers_9_mlp_fc1.lora_down.weight.
- lora_te_text_model_encoder_layers_9_mlp_fc1.lora_up.weight.
- lora_te_text_model_encoder_layers_9_mlp_fc2.alpha.
- lora_te_text_model_encoder_layers_9_mlp_fc2.lora_down.weight.
- lora_te_text_model_encoder_layers_9_mlp_fc2.lora_up.weight.
- lora_te_text_model_encoder_layers_9_self_attn_k_proj.alpha.
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