yay
Browse files- README.md +78 -0
- all_results.json +13 -0
- config.json +42 -0
- eval_results.json +8 -0
- model.safetensors +3 -0
- preprocessor_config.json +36 -0
- runs/Jun17_09-47-11_d38a0241bb1c/events.out.tfevents.1718617637.d38a0241bb1c.6107.0 +3 -0
- runs/Jun17_09-47-11_d38a0241bb1c/events.out.tfevents.1718618209.d38a0241bb1c.6107.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1406 -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: google/vit-base-patch16-224-in21k
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tags:
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- image-classification
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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: vit-base-beans
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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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# vit-base-beans
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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 the ahishamm/HAM_db_enhanced_balanced_reduced_50_20_20_50 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5305
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- Accuracy: 0.8451
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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: 0.0002
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- train_batch_size: 16
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- eval_batch_size: 8
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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: 4
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- mixed_precision_training: Native AMP
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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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| 1.0791 | 0.2304 | 100 | 1.0348 | 0.6335 |
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| 0.9415 | 0.4608 | 200 | 0.9576 | 0.6449 |
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| 0.7839 | 0.6912 | 300 | 0.8963 | 0.6662 |
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| 0.7181 | 0.9217 | 400 | 0.8479 | 0.6963 |
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| 0.3995 | 1.1521 | 500 | 0.7821 | 0.7170 |
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| 0.5025 | 1.3825 | 600 | 0.6300 | 0.7837 |
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| 0.4985 | 1.6129 | 700 | 0.7059 | 0.7490 |
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| 0.4388 | 1.8433 | 800 | 0.5893 | 0.7857 |
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| 0.2389 | 2.0737 | 900 | 0.5929 | 0.8077 |
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| 0.2767 | 2.3041 | 1000 | 0.5795 | 0.8091 |
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| 0.2387 | 2.5346 | 1100 | 0.6100 | 0.8091 |
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| 0.1691 | 2.7650 | 1200 | 0.6175 | 0.8071 |
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| 0.1738 | 2.9954 | 1300 | 0.5877 | 0.8198 |
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| 0.0397 | 3.2258 | 1400 | 0.5766 | 0.8358 |
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| 0.03 | 3.4562 | 1500 | 0.5681 | 0.8371 |
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| 0.092 | 3.6866 | 1600 | 0.5305 | 0.8451 |
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| 0.0416 | 3.9171 | 1700 | 0.5443 | 0.8471 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 4.0,
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"eval_accuracy": 0.8451268357810414,
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"eval_loss": 0.5304816365242004,
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+
"eval_runtime": 12.1921,
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+
"eval_samples_per_second": 122.867,
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"eval_steps_per_second": 15.42,
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+
"total_flos": 2.1525139607212524e+18,
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"train_loss": 0.4232822818690181,
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+
"train_runtime": 559.5799,
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+
"train_samples_per_second": 49.637,
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"train_steps_per_second": 3.102
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}
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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": "akiec",
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"1": "bcc",
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"2": "bkl",
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"3": "df",
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"4": "mel",
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"5": "nv",
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"6": "vasc"
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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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"akiec": "0",
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"bcc": "1",
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"bkl": "2",
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"df": "3",
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"mel": "4",
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"nv": "5",
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"vasc": "6"
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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": "4.41.2"
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}
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eval_results.json
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{
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"epoch": 4.0,
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"eval_accuracy": 0.8451268357810414,
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+
"eval_loss": 0.5304816365242004,
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5 |
+
"eval_runtime": 12.1921,
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+
"eval_samples_per_second": 122.867,
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"eval_steps_per_second": 15.42
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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:c50d54887b112813f65a3f6a29d4f8ab8283e6ebdc2346ae5bfd8a698f082669
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size 343239356
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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/Jun17_09-47-11_d38a0241bb1c/events.out.tfevents.1718617637.d38a0241bb1c.6107.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:a3fd03c2aa467f2e20416689acc759f9b9af78d90fc73186bca8b1771f738345
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size 47243
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runs/Jun17_09-47-11_d38a0241bb1c/events.out.tfevents.1718618209.d38a0241bb1c.6107.1
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:4eb402f867490e011e329ea5ab7a2503a8cbf8bb69eea1d1b36ccb71c38e540b
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size 734
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train_results.json
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{
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"epoch": 4.0,
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+
"total_flos": 2.1525139607212524e+18,
|
4 |
+
"train_loss": 0.4232822818690181,
|
5 |
+
"train_runtime": 559.5799,
|
6 |
+
"train_samples_per_second": 49.637,
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+
"train_steps_per_second": 3.102
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}
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trainer_state.json
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