End of training
Browse filesThis view is limited to 50 files because it contains too many changes.
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- .gitattributes +4 -0
- README.md +44 -0
- checkpoint-4000/optimizer.bin +3 -0
- checkpoint-4000/random_states_0.pkl +3 -0
- checkpoint-4000/scheduler.bin +3 -0
- checkpoint-4000/text_encoder/config.json +25 -0
- checkpoint-4000/text_encoder/model.safetensors +3 -0
- checkpoint-4000/unet/config.json +68 -0
- checkpoint-4000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-4500/optimizer.bin +3 -0
- checkpoint-4500/random_states_0.pkl +3 -0
- checkpoint-4500/scheduler.bin +3 -0
- checkpoint-4500/text_encoder/config.json +25 -0
- checkpoint-4500/text_encoder/model.safetensors +3 -0
- checkpoint-4500/unet/config.json +68 -0
- checkpoint-4500/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-5000/optimizer.bin +3 -0
- checkpoint-5000/random_states_0.pkl +3 -0
- checkpoint-5000/scheduler.bin +3 -0
- checkpoint-5000/text_encoder/config.json +25 -0
- checkpoint-5000/text_encoder/model.safetensors +3 -0
- checkpoint-5000/unet/config.json +68 -0
- checkpoint-5000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-5500/optimizer.bin +3 -0
- checkpoint-5500/random_states_0.pkl +3 -0
- checkpoint-5500/scheduler.bin +3 -0
- checkpoint-5500/text_encoder/config.json +25 -0
- checkpoint-5500/text_encoder/model.safetensors +3 -0
- checkpoint-5500/unet/config.json +68 -0
- checkpoint-5500/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-6000/optimizer.bin +3 -0
- checkpoint-6000/random_states_0.pkl +3 -0
- checkpoint-6000/scheduler.bin +3 -0
- checkpoint-6000/text_encoder/config.json +25 -0
- checkpoint-6000/text_encoder/model.safetensors +3 -0
- checkpoint-6000/unet/config.json +68 -0
- checkpoint-6000/unet/diffusion_pytorch_model.safetensors +3 -0
- feature_extractor/preprocessor_config.json +27 -0
- image_0.png +3 -0
- image_1.png +3 -0
- image_2.png +3 -0
- image_3.png +3 -0
- logs/dreambooth/1744668281.1100252/events.out.tfevents.1744668281.4e85b15e1781.8108.1 +3 -0
- logs/dreambooth/1744668281.1125748/hparams.yml +62 -0
- logs/dreambooth/1744833514.8618143/events.out.tfevents.1744833514.d1cb2b891c9f.551.1 +3 -0
- logs/dreambooth/1744833514.8643048/hparams.yml +62 -0
- logs/dreambooth/1744859428.208435/events.out.tfevents.1744859428.8b5ed5235537.550.1 +3 -0
- logs/dreambooth/1744859428.2106025/hparams.yml +62 -0
- logs/dreambooth/1744868934.7168958/events.out.tfevents.1744868934.dd120e9030b1.551.1 +3 -0
- logs/dreambooth/1744868934.7191749/hparams.yml +62 -0
.gitattributes
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@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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image_0.png filter=lfs diff=lfs merge=lfs -text
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image_1.png filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
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library_name: diffusers
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license: creativeml-openrail-m
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inference: true
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instance_prompt: A photo of a sks leaf with small brown circular spots and yellow
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halos
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tags:
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- text-to-image
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- dreambooth
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- diffusers-training
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- stable-diffusion
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- stable-diffusion-diffusers
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# DreamBooth - ButterChicken98/pv_sls_v4
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This is a dreambooth model derived from stable-diffusion-v1-5/stable-diffusion-v1-5. The weights were trained on A photo of a sks leaf with small brown circular spots and yellow halos using [DreamBooth](https://dreambooth.github.io/).
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You can find some example images in the following.
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DreamBooth for the text encoder was enabled: True.
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## Intended uses & limitations
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#### How to use
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```python
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# TODO: add an example code snippet for running this diffusion pipeline
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```
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#### Limitations and bias
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[TODO: provide examples of latent issues and potential remediations]
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## Training details
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[TODO: describe the data used to train the model]
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checkpoint-4000/optimizer.bin
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size 7861415992
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checkpoint-4000/random_states_0.pkl
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size 14668
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checkpoint-4000/scheduler.bin
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checkpoint-4000/text_encoder/config.json
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{
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"_name_or_path": "/data/march/dreambooth/Pv/Tomato___Septoria_leaf_spot_v4/checkpoint-1500",
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"architectures": [
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"CLIPTextModel"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"dropout": 0.0,
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"eos_token_id": 2,
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"hidden_act": "quick_gelu",
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"hidden_size": 768,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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| 15 |
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"layer_norm_eps": 1e-05,
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| 16 |
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"max_position_embeddings": 77,
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| 17 |
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"model_type": "clip_text_model",
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| 18 |
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"num_attention_heads": 12,
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| 19 |
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"num_hidden_layers": 12,
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| 20 |
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"pad_token_id": 1,
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| 21 |
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"projection_dim": 768,
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| 22 |
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"torch_dtype": "float32",
|
| 23 |
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"transformers_version": "4.49.0",
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| 24 |
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"vocab_size": 49408
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| 25 |
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}
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checkpoint-4000/text_encoder/model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 492265168
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checkpoint-4000/unet/config.json
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.33.0.dev0",
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| 4 |
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"_name_or_path": "/data/march/dreambooth/Pv/Tomato___Septoria_leaf_spot_v4/checkpoint-1500",
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"act_fn": "silu",
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"attention_type": "default",
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"block_out_channels": [
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320,
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"center_input_sample": false,
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"class_embed_type": null,
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"class_embeddings_concat": false,
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"conv_in_kernel": 3,
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"conv_out_kernel": 3,
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"cross_attention_dim": 768,
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| 23 |
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"cross_attention_norm": null,
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| 24 |
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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],
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| 30 |
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"downsample_padding": 1,
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| 31 |
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"dropout": 0.0,
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"dual_cross_attention": false,
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"encoder_hid_dim": null,
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"encoder_hid_dim_type": null,
|
| 35 |
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"flip_sin_to_cos": true,
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| 36 |
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"freq_shift": 0,
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"in_channels": 4,
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| 38 |
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"layers_per_block": 2,
|
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"mid_block_only_cross_attention": null,
|
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"mid_block_scale_factor": 1,
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| 41 |
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"mid_block_type": "UNetMidBlock2DCrossAttn",
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| 42 |
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"norm_eps": 1e-05,
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| 43 |
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"norm_num_groups": 32,
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| 44 |
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"num_attention_heads": null,
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"num_class_embeds": null,
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"only_cross_attention": false,
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"out_channels": 4,
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"projection_class_embeddings_input_dim": null,
|
| 49 |
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"resnet_out_scale_factor": 1.0,
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"resnet_skip_time_act": false,
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"resnet_time_scale_shift": "default",
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"reverse_transformer_layers_per_block": null,
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| 53 |
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"sample_size": 64,
|
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"time_cond_proj_dim": null,
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"time_embedding_act_fn": null,
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| 57 |
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"time_embedding_type": "positional",
|
| 58 |
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"timestep_post_act": null,
|
| 59 |
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"transformer_layers_per_block": 1,
|
| 60 |
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"up_block_types": [
|
| 61 |
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"UpBlock2D",
|
| 62 |
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"CrossAttnUpBlock2D",
|
| 63 |
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"CrossAttnUpBlock2D",
|
| 64 |
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"CrossAttnUpBlock2D"
|
| 65 |
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],
|
| 66 |
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"upcast_attention": false,
|
| 67 |
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"use_linear_projection": false
|
| 68 |
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}
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checkpoint-4000/unet/diffusion_pytorch_model.safetensors
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checkpoint-4500/optimizer.bin
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checkpoint-4500/random_states_0.pkl
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checkpoint-4500/scheduler.bin
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checkpoint-4500/text_encoder/config.json
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{
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"_name_or_path": "/data/march/dreambooth/Pv/Tomato___Septoria_leaf_spot_v4/checkpoint-1500",
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"architectures": [
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| 4 |
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"CLIPTextModel"
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],
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| 6 |
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"dropout": 0.0,
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"eos_token_id": 2,
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"hidden_act": "quick_gelu",
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"hidden_size": 768,
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"initializer_factor": 1.0,
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| 13 |
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"initializer_range": 0.02,
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| 14 |
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"intermediate_size": 3072,
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| 15 |
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"layer_norm_eps": 1e-05,
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| 16 |
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"max_position_embeddings": 77,
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"model_type": "clip_text_model",
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| 18 |
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"num_attention_heads": 12,
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| 19 |
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"num_hidden_layers": 12,
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| 20 |
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"pad_token_id": 1,
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"projection_dim": 768,
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"torch_dtype": "float32",
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| 23 |
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"transformers_version": "4.49.0",
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| 24 |
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"vocab_size": 49408
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| 25 |
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}
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checkpoint-4500/text_encoder/model.safetensors
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version https://git-lfs.github.com/spec/v1
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checkpoint-4500/unet/config.json
ADDED
|
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|
| 1 |
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checkpoint-4500/unet/diffusion_pytorch_model.safetensors
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checkpoint-5000/optimizer.bin
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checkpoint-5000/scheduler.bin
ADDED
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checkpoint-5000/text_encoder/config.json
ADDED
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{
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"_name_or_path": "/data/march/dreambooth/Pv/Tomato___Septoria_leaf_spot_v4/checkpoint-1500",
|
| 3 |
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|
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|
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|
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checkpoint-5000/text_encoder/model.safetensors
ADDED
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checkpoint-5000/unet/config.json
ADDED
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|
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 65 |
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checkpoint-5000/unet/diffusion_pytorch_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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checkpoint-5500/optimizer.bin
ADDED
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checkpoint-5500/random_states_0.pkl
ADDED
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checkpoint-5500/scheduler.bin
ADDED
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checkpoint-5500/text_encoder/config.json
ADDED
|
@@ -0,0 +1,25 @@
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| 1 |
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{
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"_name_or_path": "/data/march/dreambooth/Pv/Tomato___Septoria_leaf_spot_v4/checkpoint-1500",
|
| 3 |
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|
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|
| 11 |
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|
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|
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|
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|
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|
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|
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|
| 24 |
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|
| 25 |
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checkpoint-5500/text_encoder/model.safetensors
ADDED
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checkpoint-5500/unet/config.json
ADDED
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@@ -0,0 +1,68 @@
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gradient_accumulation_steps: 1
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instance_data_dir: /data/dataset/Split_PlantVillage/train/Tomato___Septoria_leaf_spot
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instance_prompt: A photo of a sks leaf with small brown circular spots and yellow
|
| 20 |
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halos
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learning_rate: 1.0e-06
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logging_dir: logs
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lr_scheduler: cosine
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ADDED
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