End of training
Browse files
README.md
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---
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license: apache-2.0
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base_model: google/vit-base-patch16-224-in21k
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: alzheimer_classification
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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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# alzheimer_classification
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3183
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- F1: 0.8946
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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: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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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: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 1.0 | 128 | 0.8686 | 0.5548 |
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| No log | 2.0 | 256 | 0.8457 | 0.6087 |
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| No log | 3.0 | 384 | 0.7396 | 0.6478 |
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| 0.8172 | 4.0 | 512 | 0.6833 | 0.6826 |
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| 0.8172 | 5.0 | 640 | 0.6280 | 0.7205 |
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| 0.8172 | 6.0 | 768 | 0.5347 | 0.7727 |
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| 0.8172 | 7.0 | 896 | 0.5108 | 0.7909 |
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| 0.5292 | 8.0 | 1024 | 0.4707 | 0.8078 |
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| 0.5292 | 9.0 | 1152 | 0.4477 | 0.8302 |
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| 0.5292 | 10.0 | 1280 | 0.4075 | 0.8511 |
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| 0.5292 | 11.0 | 1408 | 0.4263 | 0.8380 |
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| 0.3498 | 12.0 | 1536 | 0.3558 | 0.8756 |
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| 0.3498 | 13.0 | 1664 | 0.3768 | 0.8558 |
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| 0.3498 | 14.0 | 1792 | 0.3412 | 0.8701 |
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| 0.3498 | 15.0 | 1920 | 0.3028 | 0.8952 |
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### Framework versions
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- Transformers 4.41.0
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- Pytorch 2.3.0+cu121
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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": "google/vit-base-patch16-224-in21k",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "Mild_Demented",
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"1": "Moderate_Demented",
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"2": "Non_Demented",
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"3": "Very_Mild_Demented"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"Mild_Demented": "0",
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"Moderate_Demented": "1",
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"Non_Demented": "2",
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"Very_Mild_Demented": "3"
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},
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.41.0"
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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 sha256:7bf6f2957dab70779d7a825e47b5c14d6ae440bdebddf989a60057710eb41425
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size 343230128
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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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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "ViTImageProcessor",
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"resample": 2,
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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/May23_03-10-17_ef0de3e3286a/events.out.tfevents.1716433819.ef0de3e3286a.1223.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:c456b36f4cd8b18565151658270749541ef513316d21cca8846cc1259c72a24d
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size 10735
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runs/May23_03-10-17_ef0de3e3286a/events.out.tfevents.1716436359.ef0de3e3286a.1223.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:780f9e614d854a16db69ed9a1184b508ddc58f264512adc90f4fd3c2375f6267
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size 722
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:66653f36e83b78048c8482748d5394708fc0830419b0b1f608f3e47e13ef0857
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size 5112
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