Commit
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3bee07d
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Parent(s):
fc949e6
End of training
Browse files- README.md +97 -0
- config.json +34 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- runs/Apr02_06-26-29_b1d609fc4fe7/events.out.tfevents.1712039542.b1d609fc4fe7.415.0 +3 -0
- runs/Apr02_06-35-44_b1d609fc4fe7/events.out.tfevents.1712039751.b1d609fc4fe7.415.1 +3 -0
- runs/Apr02_09-02-54_b1d609fc4fe7/events.out.tfevents.1712048575.b1d609fc4fe7.50428.0 +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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base_model: google/vit-base-patch16-224-in21k
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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metrics:
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- accuracy
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model-index:
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- name: computer_parts_classifier-model
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: imagefolder
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type: imagefolder
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config: default
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split: train[:722]
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8068965517241379
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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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# computer_parts_classifier-model
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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 imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5140
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- Accuracy: 0.8069
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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: 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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 20
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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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| No log | 0.97 | 9 | 1.0689 | 0.5379 |
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| 1.1042 | 1.95 | 18 | 0.9123 | 0.6897 |
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| 0.9605 | 2.92 | 27 | 0.7676 | 0.7379 |
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| 0.7855 | 4.0 | 37 | 0.6722 | 0.7586 |
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| 0.626 | 4.97 | 46 | 0.5915 | 0.8069 |
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| 0.5102 | 5.95 | 55 | 0.5672 | 0.8138 |
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| 0.4266 | 6.92 | 64 | 0.5106 | 0.8483 |
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| 0.3561 | 8.0 | 74 | 0.5587 | 0.8138 |
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| 0.3126 | 8.97 | 83 | 0.5492 | 0.8069 |
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| 0.294 | 9.95 | 92 | 0.5589 | 0.7862 |
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| 0.2287 | 10.92 | 101 | 0.5579 | 0.8069 |
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| 0.2282 | 12.0 | 111 | 0.5193 | 0.8138 |
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| 0.2261 | 12.97 | 120 | 0.4383 | 0.8552 |
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| 0.2261 | 13.95 | 129 | 0.5205 | 0.7931 |
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| 0.1996 | 14.92 | 138 | 0.5037 | 0.8138 |
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| 0.1796 | 16.0 | 148 | 0.4986 | 0.8138 |
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| 0.1583 | 16.97 | 157 | 0.5583 | 0.7931 |
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| 0.1692 | 17.95 | 166 | 0.4743 | 0.8276 |
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| 0.1577 | 18.92 | 175 | 0.4867 | 0.8345 |
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| 0.1706 | 19.46 | 180 | 0.5140 | 0.8069 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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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": "cable",
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"1": "case",
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"2": "cpu"
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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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"cable": 0,
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"case": 1,
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"cpu": 2
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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": "4.38.2"
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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:b0f24b6ed14575f5e18b9221f1c9cce86159ec20971893f63d9fa79d51a7ecc6
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size 343227052
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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": "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/Apr02_06-26-29_b1d609fc4fe7/events.out.tfevents.1712039542.b1d609fc4fe7.415.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:8189bfe35a3090d5abc4639faa22bc6235e2f21f03468c1b29d8e45641abb687
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size 13879
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runs/Apr02_06-35-44_b1d609fc4fe7/events.out.tfevents.1712039751.b1d609fc4fe7.415.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:0dd9c78d5beffc885e36270decec8eda29bb57f2ff73ece3a58e0137dc60311c
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size 4686
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runs/Apr02_09-02-54_b1d609fc4fe7/events.out.tfevents.1712048575.b1d609fc4fe7.50428.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:048764a941a1d0728a4247d5e62afbbb4839a6608307ea64ab41f3015914e91b
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size 15113
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:5667cbd8245c37b8be8a7ddfb34b85990df0a0abe0d7e59ca3bda54947a706d9
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size 4920
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