Model save
Browse files- README.md +64 -0
- config.json +76 -0
- model.safetensors +3 -0
- preprocessor_config.json +36 -0
- runs/May23_22-05-26_Edus-MacBook-Pro.local/events.out.tfevents.1716498384.Edus-MacBook-Pro.local +3 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: swin-windturbine
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# swin-windturbine
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This model is a fine-tuned version of [microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft](https://huggingface.co/microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0472
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- Accuracy: 0.9964
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 1337
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.0604 | 1.0 | 197 | 0.0459 | 0.9892 |
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| 0.1309 | 2.0 | 394 | 0.0337 | 0.9857 |
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| 0.3207 | 3.0 | 591 | 0.1261 | 0.9785 |
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| 0.2517 | 4.0 | 788 | 0.0491 | 0.9928 |
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| 0.1549 | 5.0 | 985 | 0.0472 | 0.9964 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.3.0
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft",
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"architectures": [
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"Swinv2ForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"depths": [
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2,
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2,
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18,
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2
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],
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"drop_path_rate": 0.1,
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"embed_dim": 192,
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"encoder_stride": 32,
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"finetuning_task": "image-classification",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 1536,
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"id2label": {
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"0": "Blade",
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"1": "FullTurbine",
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"2": "Hub",
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"3": "Mast",
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"4": "Nacelle",
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"5": "Van"
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},
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"image_size": 256,
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"initializer_range": 0.02,
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"label2id": {
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"Blade": "0",
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"FullTurbine": "1",
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"Hub": "2",
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"Mast": "3",
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"Nacelle": "4",
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"Van": "5"
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},
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"layer_norm_eps": 1e-05,
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"mlp_ratio": 4.0,
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"model_type": "swinv2",
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"num_channels": 3,
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"num_heads": [
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6,
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12,
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24,
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48
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],
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"num_layers": 4,
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"out_features": [
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"stage4"
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],
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"out_indices": [
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4
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],
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"patch_size": 4,
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"path_norm": true,
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"pretrained_window_sizes": [
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12,
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12,
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12,
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6
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],
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"stage_names": [
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"stem",
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"stage1",
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"stage2",
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"stage3",
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"stage4"
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],
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"torch_dtype": "float32",
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"transformers_version": "4.41.1",
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"use_absolute_embeddings": false,
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"window_size": 16
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a9be320fbf936bde9062408b66b491a66267e8e1cc019eed3ba2bc3ed06a3147
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size 780910880
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preprocessor_config.json
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{
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"_valid_processor_keys": [
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"images",
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"do_resize",
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"size",
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"resample",
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"do_rescale",
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"rescale_factor",
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"do_normalize",
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"image_mean",
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"image_std",
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"return_tensors",
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"data_format",
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"input_data_format"
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],
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.485,
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0.456,
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0.406
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],
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"image_processor_type": "ViTImageProcessor",
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 256,
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"width": 256
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}
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}
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runs/May23_22-05-26_Edus-MacBook-Pro.local/events.out.tfevents.1716498384.Edus-MacBook-Pro.local
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version https://git-lfs.github.com/spec/v1
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oid sha256:4b8a11d04e16db135ba2f0170501eb2a36aa8a574ca7e0f200a08891dcc5928a
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size 28062
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:cfde3e6b6266b3b1ed577840f0dbf4f28d77c209ab0a359936ba0ce2e987025d
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size 5112
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