SouthMemphis/ViT_military_aircraft
Browse files- README.md +108 -0
- all_results.json +13 -0
- config.json +176 -0
- eval_results.json +8 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- runs/Dec26_15-46-49_35b123c34d0e/events.out.tfevents.1735228020.35b123c34d0e.40.0 +3 -0
- runs/Dec26_15-47-14_35b123c34d0e/events.out.tfevents.1735228040.35b123c34d0e.40.1 +3 -0
- runs/Dec26_15-47-14_35b123c34d0e/events.out.tfevents.1735233522.35b123c34d0e.40.2 +3 -0
- train_results.json +8 -0
- trainer_state.json +2584 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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| 2 |
+
library_name: transformers
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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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| 9 |
+
metrics:
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| 10 |
+
- accuracy
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+
model-index:
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- name: vit-base-beans
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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
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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: 0.90272614622057
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| 27 |
+
---
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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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| 31 |
+
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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 imagefolder dataset.
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+
It achieves the following results on the evaluation set:
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- Loss: 0.3643
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- Accuracy: 0.9027
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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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| 46 |
+
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+
## Training and evaluation data
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| 48 |
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More information needed
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| 50 |
+
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+
## Training procedure
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| 52 |
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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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| 61 |
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- lr_scheduler_type: linear
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| 62 |
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- num_epochs: 2
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| 63 |
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- mixed_precision_training: Native AMP
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| 64 |
+
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### Training results
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| 66 |
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+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 68 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 69 |
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| 3.5924 | 0.0620 | 100 | 3.5675 | 0.1927 |
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| 70 |
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| 3.0189 | 0.1239 | 200 | 3.0313 | 0.3047 |
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| 71 |
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| 2.5541 | 0.1859 | 300 | 2.5575 | 0.3956 |
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| 72 |
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| 2.114 | 0.2478 | 400 | 2.2332 | 0.4571 |
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| 73 |
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| 1.9624 | 0.3098 | 500 | 1.9455 | 0.5596 |
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| 74 |
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| 1.6749 | 0.3717 | 600 | 1.7370 | 0.5787 |
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| 75 |
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| 1.5852 | 0.4337 | 700 | 1.4947 | 0.6439 |
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| 76 |
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| 1.1875 | 0.4957 | 800 | 1.4151 | 0.6468 |
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| 77 |
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| 1.5114 | 0.5576 | 900 | 1.2709 | 0.6820 |
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| 78 |
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| 1.3122 | 0.6196 | 1000 | 1.1940 | 0.6939 |
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| 79 |
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| 1.0721 | 0.6815 | 1100 | 1.0757 | 0.7261 |
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| 80 |
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| 0.8249 | 0.7435 | 1200 | 0.9666 | 0.7576 |
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| 81 |
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| 0.7944 | 0.8055 | 1300 | 0.9101 | 0.7708 |
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| 82 |
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| 0.8032 | 0.8674 | 1400 | 0.9011 | 0.7691 |
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| 83 |
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| 0.7479 | 0.9294 | 1500 | 0.7409 | 0.8067 |
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| 84 |
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| 0.5997 | 0.9913 | 1600 | 0.7326 | 0.8110 |
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| 85 |
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| 0.5005 | 1.0533 | 1700 | 0.6769 | 0.8211 |
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| 86 |
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| 0.4107 | 1.1152 | 1800 | 0.6375 | 0.8374 |
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| 87 |
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| 0.4596 | 1.1772 | 1900 | 0.6302 | 0.8304 |
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| 88 |
+
| 0.2544 | 1.2392 | 2000 | 0.5805 | 0.8400 |
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| 89 |
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| 0.2983 | 1.3011 | 2100 | 0.5480 | 0.8501 |
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| 90 |
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| 0.3214 | 1.3631 | 2200 | 0.5053 | 0.8683 |
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| 91 |
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| 0.2384 | 1.4250 | 2300 | 0.4929 | 0.8713 |
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| 92 |
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| 0.2397 | 1.4870 | 2400 | 0.4664 | 0.8742 |
|
| 93 |
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| 0.3448 | 1.5489 | 2500 | 0.4690 | 0.8755 |
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| 94 |
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| 0.3129 | 1.6109 | 2600 | 0.4351 | 0.8843 |
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| 95 |
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| 0.1027 | 1.6729 | 2700 | 0.4311 | 0.8846 |
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| 96 |
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| 0.2086 | 1.7348 | 2800 | 0.4088 | 0.8897 |
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| 97 |
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| 0.1683 | 1.7968 | 2900 | 0.4133 | 0.8919 |
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| 0.2767 | 1.8587 | 3000 | 0.3851 | 0.8964 |
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| 99 |
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| 0.1582 | 1.9207 | 3100 | 0.3703 | 0.9018 |
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| 100 |
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| 0.1421 | 1.9827 | 3200 | 0.3643 | 0.9027 |
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| 101 |
+
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| 102 |
+
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| 103 |
+
### Framework versions
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| 104 |
+
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| 105 |
+
- Transformers 4.44.2
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| 106 |
+
- Pytorch 2.4.1+cu121
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| 107 |
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- Datasets 3.2.0
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| 108 |
+
- Tokenizers 0.19.1
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all_results.json
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| 1 |
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{
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| 2 |
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"epoch": 2.0,
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| 3 |
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"eval_accuracy": 0.90272614622057,
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| 4 |
+
"eval_loss": 0.36434125900268555,
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| 5 |
+
"eval_runtime": 107.3324,
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| 6 |
+
"eval_samples_per_second": 60.15,
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| 7 |
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"eval_steps_per_second": 7.519,
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| 8 |
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"total_flos": 4.004423768814723e+18,
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| 9 |
+
"train_loss": 0.9726454161726114,
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| 10 |
+
"train_runtime": 5145.5507,
|
| 11 |
+
"train_samples_per_second": 10.036,
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| 12 |
+
"train_steps_per_second": 0.627
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| 13 |
+
}
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config.json
ADDED
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@@ -0,0 +1,176 @@
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| 1 |
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{
|
| 2 |
+
"_name_or_path": "google/vit-base-patch16-224-in21k",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"ViTForImageClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.0,
|
| 7 |
+
"encoder_stride": 16,
|
| 8 |
+
"hidden_act": "gelu",
|
| 9 |
+
"hidden_dropout_prob": 0.0,
|
| 10 |
+
"hidden_size": 768,
|
| 11 |
+
"id2label": {
|
| 12 |
+
"0": "A10",
|
| 13 |
+
"1": "A400M",
|
| 14 |
+
"2": "AG600",
|
| 15 |
+
"3": "AH64",
|
| 16 |
+
"4": "AV8B",
|
| 17 |
+
"5": "An124",
|
| 18 |
+
"6": "An22",
|
| 19 |
+
"7": "An225",
|
| 20 |
+
"8": "An72",
|
| 21 |
+
"9": "B1",
|
| 22 |
+
"10": "B2",
|
| 23 |
+
"11": "B21",
|
| 24 |
+
"12": "B52",
|
| 25 |
+
"13": "Be200",
|
| 26 |
+
"14": "C130",
|
| 27 |
+
"15": "C17",
|
| 28 |
+
"16": "C2",
|
| 29 |
+
"17": "C390",
|
| 30 |
+
"18": "C5",
|
| 31 |
+
"19": "CH47",
|
| 32 |
+
"20": "CL415",
|
| 33 |
+
"21": "E2",
|
| 34 |
+
"22": "E7",
|
| 35 |
+
"23": "EF2000",
|
| 36 |
+
"24": "F117",
|
| 37 |
+
"25": "F14",
|
| 38 |
+
"26": "F15",
|
| 39 |
+
"27": "F16",
|
| 40 |
+
"28": "F18",
|
| 41 |
+
"29": "F22",
|
| 42 |
+
"30": "F35",
|
| 43 |
+
"31": "F4",
|
| 44 |
+
"32": "H6",
|
| 45 |
+
"33": "J10",
|
| 46 |
+
"34": "J20",
|
| 47 |
+
"35": "JAS39",
|
| 48 |
+
"36": "JF17",
|
| 49 |
+
"37": "JH7",
|
| 50 |
+
"38": "KC135",
|
| 51 |
+
"39": "KF21",
|
| 52 |
+
"40": "KJ600",
|
| 53 |
+
"41": "Ka27",
|
| 54 |
+
"42": "Ka52",
|
| 55 |
+
"43": "MQ9",
|
| 56 |
+
"44": "Mi24",
|
| 57 |
+
"45": "Mi26",
|
| 58 |
+
"46": "Mi28",
|
| 59 |
+
"47": "Mig29",
|
| 60 |
+
"48": "Mig31",
|
| 61 |
+
"49": "Mirage2000",
|
| 62 |
+
"50": "P3",
|
| 63 |
+
"51": "RQ4",
|
| 64 |
+
"52": "Rafale",
|
| 65 |
+
"53": "SR71",
|
| 66 |
+
"54": "Su24",
|
| 67 |
+
"55": "Su25",
|
| 68 |
+
"56": "Su34",
|
| 69 |
+
"57": "Su57",
|
| 70 |
+
"58": "TB001",
|
| 71 |
+
"59": "TB2",
|
| 72 |
+
"60": "Tornado",
|
| 73 |
+
"61": "Tu160",
|
| 74 |
+
"62": "Tu22M",
|
| 75 |
+
"63": "Tu95",
|
| 76 |
+
"64": "U2",
|
| 77 |
+
"65": "UH60",
|
| 78 |
+
"66": "US2",
|
| 79 |
+
"67": "V22",
|
| 80 |
+
"68": "Vulcan",
|
| 81 |
+
"69": "WZ7",
|
| 82 |
+
"70": "XB70",
|
| 83 |
+
"71": "Y20",
|
| 84 |
+
"72": "YF23",
|
| 85 |
+
"73": "Z19"
|
| 86 |
+
},
|
| 87 |
+
"image_size": 224,
|
| 88 |
+
"initializer_range": 0.02,
|
| 89 |
+
"intermediate_size": 3072,
|
| 90 |
+
"label2id": {
|
| 91 |
+
"A10": 0,
|
| 92 |
+
"A400M": 1,
|
| 93 |
+
"AG600": 2,
|
| 94 |
+
"AH64": 3,
|
| 95 |
+
"AV8B": 4,
|
| 96 |
+
"An124": 5,
|
| 97 |
+
"An22": 6,
|
| 98 |
+
"An225": 7,
|
| 99 |
+
"An72": 8,
|
| 100 |
+
"B1": 9,
|
| 101 |
+
"B2": 10,
|
| 102 |
+
"B21": 11,
|
| 103 |
+
"B52": 12,
|
| 104 |
+
"Be200": 13,
|
| 105 |
+
"C130": 14,
|
| 106 |
+
"C17": 15,
|
| 107 |
+
"C2": 16,
|
| 108 |
+
"C390": 17,
|
| 109 |
+
"C5": 18,
|
| 110 |
+
"CH47": 19,
|
| 111 |
+
"CL415": 20,
|
| 112 |
+
"E2": 21,
|
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eval_results.json
ADDED
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|
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model.safetensors
ADDED
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preprocessor_config.json
ADDED
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train_results.json
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trainer_state.json
ADDED
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