Commit
•
a1a6284
1
Parent(s):
9e917ca
Upload folder using huggingface_hub
Browse files- README.md +74 -0
- all_results.json +16 -0
- config.json +40 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- train_results.json +8 -0
- trainer_state.json +1043 -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).
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It achieves the following results on the evaluation set:
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- Loss: 0.0816
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- Accuracy: 0.9819
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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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| 0.5092 | 0.28 | 100 | 0.6420 | 0.7681 |
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| 0.5076 | 0.56 | 200 | 0.4069 | 0.8722 |
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| 0.3291 | 0.83 | 300 | 0.4342 | 0.8569 |
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| 0.108 | 1.11 | 400 | 0.2410 | 0.9292 |
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| 0.0378 | 1.39 | 500 | 0.3107 | 0.9139 |
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| 0.1488 | 1.67 | 600 | 0.1984 | 0.9389 |
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| 0.0532 | 1.94 | 700 | 0.1714 | 0.9514 |
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| 0.0122 | 2.22 | 800 | 0.1334 | 0.9611 |
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| 0.0529 | 2.5 | 900 | 0.1139 | 0.9653 |
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| 0.0221 | 2.78 | 1000 | 0.0875 | 0.9736 |
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| 0.0052 | 3.06 | 1100 | 0.0816 | 0.9819 |
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| 0.0045 | 3.33 | 1200 | 0.0873 | 0.9792 |
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| 0.0113 | 3.61 | 1300 | 0.0882 | 0.9833 |
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| 0.0043 | 3.89 | 1400 | 0.0865 | 0.9806 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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all_results.json
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{
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"epoch": 4.0,
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<<<<<<< HEAD
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"total_flos": 6.311528820941783e+18,
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"train_loss": 0.2221095090903772,
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"train_runtime": 4823.2045,
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"train_samples_per_second": 4.777,
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"train_steps_per_second": 0.299
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=======
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"total_flos": 1.7854794491756544e+18,
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"train_loss": 0.18370533613229378,
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"train_runtime": 2041.1421,
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"train_samples_per_second": 11.288,
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"train_steps_per_second": 0.705
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>>>>>>> parent of c5d9224 (Upload folder using huggingface_hub)
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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": "crack",
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"1": "scratch",
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"2": "tire flat",
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"3": "dent",
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"4": "glass shatter",
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"5": "lamp broken"
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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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"crack": "0",
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"dent": "3",
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"glass shatter": "4",
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"lamp broken": "5",
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"scratch": "1",
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"tire flat": "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": "4.35.2"
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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 sha256:4252d3637df68b30ca44504a816992750218c3b023eaf0579e48d7e360a50110
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size 343236280
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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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train_results.json
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{
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"epoch": 4.0,
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"total_flos": 1.7854794491756544e+18,
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"train_loss": 0.18370533613229378,
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"train_runtime": 2041.1421,
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"train_samples_per_second": 11.288,
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"train_steps_per_second": 0.705
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}
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trainer_state.json
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<<<<<<< HEAD
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| 1018 |
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=======
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| 1025 |
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| 1032 |
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>>>>>>> parent of c5d9224 (Upload folder using huggingface_hub)
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| 1033 |
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| 1043 |
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|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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size 4600
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