Model save
Browse files- README.md +55 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- preprocessor_config.json +36 -0
- runs/May20_16-15-28_be60cc0132a3/events.out.tfevents.1716223245.be60cc0132a3.178.0 +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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library_name: peft
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tags:
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- generated_from_trainer
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base_model: microsoft/swin-large-patch4-window7-224-in22k
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datasets:
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- medmnist-v2
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model-index:
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- name: chestmnist-swin-base-finetuned
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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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# chestmnist-swin-base-finetuned
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This model is a fine-tuned version of [microsoft/swin-large-patch4-window7-224-in22k](https://huggingface.co/microsoft/swin-large-patch4-window7-224-in22k) on the medmnist-v2 dataset.
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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: 0.005
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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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: 10
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- mixed_precision_training: Native AMP
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.40.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "SwinForImageClassification",
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"parent_library": "transformers.models.swin.modeling_swin"
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},
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"base_model_name_or_path": "microsoft/swin-large-patch4-window7-224-in22k",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": [
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"classifier"
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],
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"query",
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"value"
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],
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"task_type": null,
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f592f71c0913639f894d134ab8d02e9ba061a8f0140ec33e90a3ba059c720fcd
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size 4647264
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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": 224,
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"width": 224
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}
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}
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runs/May20_16-15-28_be60cc0132a3/events.out.tfevents.1716223245.be60cc0132a3.178.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:7ac6ed83dc34ff70499601b66b05f0f47e625f62ab18261190b34793b34e6072
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size 4184
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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:b0f75fb49ed10aefca283d15b59deecf965efc576c05c0b142e74a6a1d1fdfd7
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size 5240
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