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diff --git a/checkpoint-9500/unet/config.json b/checkpoint-9500/unet/config.json
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index 0000000000000000000000000000000000000000..ccb8474073252815aa720c280c23b28669d7a727
--- /dev/null
+++ b/checkpoint-9500/unet/config.json
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+{
+  "_class_name": "UNet2DConditionModel",
+  "_diffusers_version": "0.33.1",
+  "_name_or_path": "output_lr1e4_accstep1/checkpoint-2500",
+  "act_fn": "silu",
+  "addition_embed_type": null,
+  "addition_embed_type_num_heads": 64,
+  "addition_time_embed_dim": null,
+  "attention_head_dim": 8,
+  "attention_type": "default",
+  "block_out_channels": [
+    320,
+    640,
+    1280,
+    1280
+  ],
+  "center_input_sample": false,
+  "class_embed_type": null,
+  "class_embeddings_concat": false,
+  "conv_in_kernel": 3,
+  "conv_out_kernel": 3,
+  "cross_attention_dim": 768,
+  "cross_attention_norm": null,
+  "down_block_types": [
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "DownBlock2D"
+  ],
+  "downsample_padding": 1,
+  "dropout": 0.0,
+  "dual_cross_attention": false,
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+  "flip_sin_to_cos": true,
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+  "layers_per_block": 2,
+  "mid_block_only_cross_attention": null,
+  "mid_block_scale_factor": 1,
+  "mid_block_type": "UNetMidBlock2DCrossAttn",
+  "norm_eps": 1e-05,
+  "norm_num_groups": 32,
+  "num_attention_heads": null,
+  "num_class_embeds": null,
+  "only_cross_attention": false,
+  "out_channels": 4,
+  "projection_class_embeddings_input_dim": null,
+  "resnet_out_scale_factor": 1.0,
+  "resnet_skip_time_act": false,
+  "resnet_time_scale_shift": "default",
+  "reverse_transformer_layers_per_block": null,
+  "sample_size": 64,
+  "time_cond_proj_dim": null,
+  "time_embedding_act_fn": null,
+  "time_embedding_dim": null,
+  "time_embedding_type": "positional",
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+  "transformer_layers_per_block": 1,
+  "up_block_types": [
+    "UpBlock2D",
+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D"
+  ],
+  "upcast_attention": false,
+  "use_linear_projection": false
+}
diff --git a/checkpoint-9500/unet/diffusion_pytorch_model.safetensors b/checkpoint-9500/unet/diffusion_pytorch_model.safetensors
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diff --git a/readme.txt b/readme.txt
new file mode 100644
index 0000000000000000000000000000000000000000..26b14fc9e17a7d7ff9639a7653ac090494c9240f
--- /dev/null
+++ b/readme.txt
@@ -0,0 +1,5 @@
+目前，output_lr1e4_accstep1里面，直到2500步，学习率都是1e-4，梯度累计步长为1步，未使用角度信息。
+对应的参数为：Namespace(adam_beta1=0.9, adam_beta2=0.999, adam_epsilon=1e-08, adam_weight_decay=0.01, allow_tf32=False, cache_dir=None, center_crop=False, checkpointing_steps=500, checkpoints_total_limit=None, conditioning_dropout_prob=None, data_file_records='/home/ach17654gk/code/train_sdxl_gg/metadata.jsonl', dataloader_num_workers=0, dataset_config_name=None, dataset_name=None, edit_prompt_column='text', edited_image_column='conditioning_image', enable_xformers_memory_efficient_attention=False, gradient_accumulation_steps=1, gradient_checkpointing=False, hub_model_id=None, hub_token=None, learning_rate=0.0001, local_rank=1, logging_dir='logs', lr_scheduler='constant', lr_warmup_steps=500, max_grad_norm=1.0, max_train_samples=None, max_train_steps=2500, mixed_precision=None, non_ema_revision=None, num_train_epochs=100, num_validation_images=4, original_image_column='file_name', output_dir='output_lr1e4_accstep1', pretrained_model_name_or_path='/home/ach17654gk/.cache/huggingface/hub/models--runwayml--stable-diffusion-v1-5/snapshots/451f4fe16113bff5a5d2269ed5ad43b0592e9a14', push_to_hub=True, random_flip=False, report_to='wandb', resolution=512, resume_from_checkpoint=None, revision=None, scale_lr=False, seed=0, train_batch_size=16, train_data_dir='/home/ach17654gk/download/dataset/DFC/Track_1', use_8bit_adam=False, use_ema=False, val_image_url='/home/ach17654gk/download/dataset/DFC/Track_1/png/rgb_images/TrainArea_1551.png', validation_epochs=1, validation_prompt='A high-resolution synthetic aperture radar (SAR) satellite image, heavy speckle noise, monochrome, moderate contrast, detailed geometric patterns, realistic radar texture, remote sensing style, urban area, distinct linear and rectangular structures', variant=None)
+
+
+接下来，在2500步的基础上，我将尝试学习率缩小3倍，即3e-5，训练到10000步，依旧不加入角度信息。
\ No newline at end of file
diff --git a/unet/config.json b/unet/config.json
index a0cfd35c2efd29641de60c2814431ed57d25ed46..ccb8474073252815aa720c280c23b28669d7a727 100644
--- a/unet/config.json
+++ b/unet/config.json
@@ -1,7 +1,7 @@
 {
   "_class_name": "UNet2DConditionModel",
   "_diffusers_version": "0.33.1",
-  "_name_or_path": "/home/ach17654gk/.cache/huggingface/hub/models--runwayml--stable-diffusion-v1-5/snapshots/451f4fe16113bff5a5d2269ed5ad43b0592e9a14",
+  "_name_or_path": "output_lr1e4_accstep1/checkpoint-2500",
   "act_fn": "silu",
   "addition_embed_type": null,
   "addition_embed_type_num_heads": 64,
diff --git a/unet/diffusion_pytorch_model.safetensors b/unet/diffusion_pytorch_model.safetensors
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