Commit ·
938ce8c
1
Parent(s): 1ba08b3
DazMashaly/iee_class
Browse files- README.md +83 -0
- all_results.json +8 -0
- config.json +58 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- train_results.json +8 -0
- trainer_state.json +1663 -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-demo-v5
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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-demo-v5
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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 bact dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0498
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- Accuracy: 0.9882
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.1764 | 0.17 | 100 | 0.2424 | 0.9345 |
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| 0.2401 | 0.34 | 200 | 0.2909 | 0.9160 |
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| 0.1986 | 0.5 | 300 | 0.2258 | 0.9358 |
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| 0.1579 | 0.67 | 400 | 0.2699 | 0.9240 |
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| 0.21 | 0.84 | 500 | 0.1416 | 0.9635 |
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| 0.0873 | 1.01 | 600 | 0.1724 | 0.9467 |
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| 0.1594 | 1.17 | 700 | 0.2439 | 0.9320 |
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| 0.0824 | 1.34 | 800 | 0.1039 | 0.9702 |
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| 0.0888 | 1.51 | 900 | 0.1496 | 0.9547 |
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| 0.1058 | 1.68 | 1000 | 0.1100 | 0.9748 |
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| 0.077 | 1.85 | 1100 | 0.0784 | 0.9757 |
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| 0.0486 | 2.01 | 1200 | 0.0997 | 0.9710 |
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| 0.0087 | 2.18 | 1300 | 0.0704 | 0.9811 |
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| 0.0382 | 2.35 | 1400 | 0.0910 | 0.9761 |
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| 0.046 | 2.52 | 1500 | 0.0588 | 0.9840 |
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| 0.0163 | 2.68 | 1600 | 0.0609 | 0.9836 |
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| 0.0876 | 2.85 | 1700 | 0.0689 | 0.9811 |
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| 0.0072 | 3.02 | 1800 | 0.0632 | 0.9861 |
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| 0.0022 | 3.19 | 1900 | 0.0670 | 0.9845 |
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| 0.0018 | 3.36 | 2000 | 0.0705 | 0.9845 |
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| 0.0023 | 3.52 | 2100 | 0.0588 | 0.9861 |
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| 0.0017 | 3.69 | 2200 | 0.0490 | 0.9882 |
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| 0.0248 | 3.86 | 2300 | 0.0498 | 0.9882 |
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### Framework versions
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- Transformers 4.33.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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all_results.json
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{
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"epoch": 4.0,
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"total_flos": 2.953718820314874e+18,
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"train_loss": 0.09724263496534437,
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"train_runtime": 2056.7864,
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"train_samples_per_second": 18.53,
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"train_steps_per_second": 1.159
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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": "Ascariasis",
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"1": "Babesia",
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"10": "Opisthorchis viverrine",
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"11": "Paragonimus spp",
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"12": "T. rubrum",
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"13": "Taenia spp",
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"14": "Trichuris trichiura",
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"2": "Capillaria p",
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"3": "Enterobius v",
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"4": "Epidermophyton floccosum",
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"5": "Fasciolopsis buski",
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"6": "Hookworm egg",
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"7": "Hymenolepis diminuta",
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"8": "Hymenolepis nana",
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"9": "Leishmania"
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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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"Ascariasis": "0",
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"Babesia": "1",
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"Capillaria p": "2",
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"Enterobius v": "3",
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"Epidermophyton floccosum": "4",
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"Fasciolopsis buski": "5",
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"Hookworm egg": "6",
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"Hymenolepis diminuta": "7",
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"Hymenolepis nana": "8",
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"Leishmania": "9",
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"Opisthorchis viverrine": "10",
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"Paragonimus spp": "11",
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"T. rubrum": "12",
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"Taenia spp": "13",
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"Trichuris trichiura": "14"
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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": "4.33.1"
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}
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preprocessor_config.json
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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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"width": 224
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}
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7ecfa0a9ee9553d4aa9cb4b643e8bcceff74c292293ab4054a7351d4547328a7
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size 343308717
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train_results.json
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{
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"epoch": 4.0,
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"total_flos": 2.953718820314874e+18,
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"train_loss": 0.09724263496534437,
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"train_runtime": 2056.7864,
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| 6 |
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"train_samples_per_second": 18.53,
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"train_steps_per_second": 1.159
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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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