karoladelk/bachh
Browse files- README.md +49 -0
- all_results.json +13 -0
- config.json +44 -0
- eval_results.json +8 -0
- model.safetensors +3 -0
- preprocessor_config.json +36 -0
- runs/Apr21_17-30-20_67314e3e4708/events.out.tfevents.1713720627.67314e3e4708.91.0 +3 -0
- runs/Apr21_17-30-20_67314e3e4708/events.out.tfevents.1713728775.67314e3e4708.91.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +2837 -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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model-index:
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- name: bachh
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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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# bachh
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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 Pranavkpba2000/skin_cancer_dataset 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: 0.0002
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- train_batch_size: 32
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- eval_batch_size: 16
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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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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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all_results.json
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{
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"epoch": 4.0,
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"eval_accuracy": 0.8441942294159043,
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"eval_loss": 0.4731413722038269,
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| 5 |
+
"eval_runtime": 127.8463,
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| 6 |
+
"eval_samples_per_second": 55.575,
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| 7 |
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"eval_steps_per_second": 3.481,
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| 8 |
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"total_flos": 8.839521632856048e+18,
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| 9 |
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"train_loss": 0.3317156129854944,
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| 10 |
+
"train_runtime": 7997.833,
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| 11 |
+
"train_samples_per_second": 14.262,
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"train_steps_per_second": 0.446
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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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| 7 |
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"encoder_stride": 16,
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| 8 |
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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": "AK",
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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": "SCC",
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"7": "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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"AK": "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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"SCC": "6",
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"VASC": "7"
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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": "4.39.3"
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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": 0.8441942294159043,
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| 4 |
+
"eval_loss": 0.4731413722038269,
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| 5 |
+
"eval_runtime": 127.8463,
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| 6 |
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"eval_samples_per_second": 55.575,
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"eval_steps_per_second": 3.481
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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 sha256:76164f8387f163fb92f9330b42d31bf17486d5385803d11bd9c4e165f62e95ca
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size 343242432
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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": "ViTFeatureExtractor",
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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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| 34 |
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"width": 224
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| 35 |
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}
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| 36 |
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}
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runs/Apr21_17-30-20_67314e3e4708/events.out.tfevents.1713720627.67314e3e4708.91.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:2b607ae1d45d15592821fb7b2bb56cb04f87cb132454eb1f0e930a72d2e73468
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size 91507
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runs/Apr21_17-30-20_67314e3e4708/events.out.tfevents.1713728775.67314e3e4708.91.1
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:61973e21d0e9e47d1cfb9cf3bf0da85919801dafe9ee66d9f16845f84ef39424
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size 411
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train_results.json
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{
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"epoch": 4.0,
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| 3 |
+
"total_flos": 8.839521632856048e+18,
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| 4 |
+
"train_loss": 0.3317156129854944,
|
| 5 |
+
"train_runtime": 7997.833,
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| 6 |
+
"train_samples_per_second": 14.262,
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| 7 |
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"train_steps_per_second": 0.446
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| 8 |
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}
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trainer_state.json
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training_args.bin
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@@ -0,0 +1,3 @@
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