End of training
Browse files- README.md +107 -0
- all_results.json +18 -0
- config.json +58 -0
- eval_results.json +13 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- train_results.json +8 -0
- trainer_state.json +376 -0
- training_args.bin +3 -0
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: facebook/convnext-tiny-224
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tags:
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- generated_from_trainer
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| 7 |
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datasets:
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- imagefolder
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| 9 |
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metrics:
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| 10 |
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- precision
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- recall
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| 12 |
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- f1
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- accuracy
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model-index:
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- name: convnext-tiny-224-finetuned-barkley
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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: Precision
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type: precision
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value: 0.9936145510835913
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- name: Recall
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type: recall
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value: 0.993421052631579
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- name: F1
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type: f1
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value: 0.993419541966282
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- name: Accuracy
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type: accuracy
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value: 0.9939393939393939
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| 39 |
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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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# convnext-tiny-224-finetuned-barkley
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This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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| 48 |
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- Loss: 0.0794
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- Precision: 0.9936
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- Recall: 0.9934
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- F1: 0.9934
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- Accuracy: 0.9939
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- Top1 Accuracy: 0.9934
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| 54 |
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- Error Rate: 0.0061
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| 55 |
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## Model description
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More information needed
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## Intended uses & limitations
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| 61 |
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| 62 |
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More information needed
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## Training and evaluation data
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| 65 |
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More information needed
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## Training procedure
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| 69 |
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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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| 75 |
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- eval_batch_size: 32
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| 76 |
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- seed: 42
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| 77 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 78 |
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- lr_scheduler_type: linear
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| 79 |
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- lr_scheduler_warmup_ratio: 0.1
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| 80 |
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- num_epochs: 30
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| 81 |
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- mixed_precision_training: Native AMP
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| 82 |
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| 83 |
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### Training results
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| 84 |
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| 85 |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | Top1 Accuracy | Error Rate |
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| 86 |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:-------------:|:----------:|
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| 87 |
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| 1.576 | 1.0 | 38 | 1.5660 | 0.3007 | 0.3684 | 0.2952 | 0.3479 | 0.3684 | 0.6521 |
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| 88 |
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| 1.5469 | 2.0 | 76 | 1.5353 | 0.3141 | 0.4079 | 0.3215 | 0.3854 | 0.4079 | 0.6146 |
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| 1.5081 | 3.0 | 114 | 1.4782 | 0.5684 | 0.4671 | 0.3961 | 0.4436 | 0.4671 | 0.5564 |
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| 1.4278 | 4.0 | 152 | 1.3718 | 0.7088 | 0.6053 | 0.5840 | 0.5866 | 0.6053 | 0.4134 |
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| 91 |
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| 1.2938 | 5.0 | 190 | 1.1909 | 0.8582 | 0.8355 | 0.8378 | 0.8290 | 0.8355 | 0.1710 |
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| 92 |
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| 1.0696 | 6.0 | 228 | 0.9353 | 0.9243 | 0.9211 | 0.9215 | 0.9205 | 0.9211 | 0.0795 |
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| 0.789 | 7.0 | 266 | 0.6347 | 0.9680 | 0.9671 | 0.9673 | 0.9691 | 0.9671 | 0.0309 |
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| 0.506 | 8.0 | 304 | 0.3910 | 0.9750 | 0.9737 | 0.9739 | 0.9752 | 0.9737 | 0.0248 |
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| 0.2876 | 9.0 | 342 | 0.2126 | 0.9808 | 0.9803 | 0.9802 | 0.9814 | 0.9803 | 0.0186 |
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| 0.1722 | 10.0 | 380 | 0.1409 | 0.9809 | 0.9803 | 0.9799 | 0.9818 | 0.9803 | 0.0182 |
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| 0.1082 | 11.0 | 418 | 0.0794 | 0.9936 | 0.9934 | 0.9934 | 0.9939 | 0.9934 | 0.0061 |
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| 0.0715 | 12.0 | 456 | 0.0577 | 0.9936 | 0.9934 | 0.9934 | 0.9939 | 0.9934 | 0.0061 |
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| 0.0492 | 13.0 | 494 | 0.0440 | 0.9872 | 0.9868 | 0.9867 | 0.9879 | 0.9868 | 0.0121 |
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| 101 |
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| 102 |
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### Framework versions
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- Transformers 4.45.2
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| 105 |
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- Pytorch 2.3.1+cu121
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| 106 |
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- Datasets 3.0.1
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| 107 |
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- Tokenizers 0.20.1
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all_results.json
ADDED
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| 1 |
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{
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| 2 |
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"epoch": 13.0,
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| 3 |
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"eval_accuracy": 0.9939393939393939,
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| 4 |
+
"eval_error_rate": 0.0060606060606061,
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| 5 |
+
"eval_f1": 0.993419541966282,
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| 6 |
+
"eval_loss": 0.0794038251042366,
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| 7 |
+
"eval_precision": 0.9936145510835913,
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| 8 |
+
"eval_recall": 0.993421052631579,
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| 9 |
+
"eval_runtime": 51.0106,
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| 10 |
+
"eval_samples_per_second": 2.98,
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| 11 |
+
"eval_steps_per_second": 0.098,
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| 12 |
+
"eval_top1_accuracy": 0.993421052631579,
|
| 13 |
+
"total_flos": 3.972506461105029e+17,
|
| 14 |
+
"train_loss": 0.8004542765347099,
|
| 15 |
+
"train_runtime": 7158.591,
|
| 16 |
+
"train_samples_per_second": 5.096,
|
| 17 |
+
"train_steps_per_second": 0.159
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| 18 |
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}
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config.json
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| 1 |
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{
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| 2 |
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"_name_or_path": "facebook/convnext-tiny-224",
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| 3 |
+
"architectures": [
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| 4 |
+
"ConvNextForImageClassification"
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| 5 |
+
],
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| 6 |
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"depths": [
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| 7 |
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3,
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| 8 |
+
3,
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| 9 |
+
9,
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| 10 |
+
3
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| 11 |
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],
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| 12 |
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"drop_path_rate": 0.0,
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| 13 |
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"hidden_act": "gelu",
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| 14 |
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"hidden_sizes": [
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| 15 |
+
96,
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| 16 |
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192,
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| 17 |
+
384,
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| 18 |
+
768
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| 19 |
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],
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| 20 |
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"id2label": {
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| 21 |
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"0": "Iinstia bijuga",
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| 22 |
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"1": "Mangifera indica",
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| 23 |
+
"2": "Pterocarpus indicus",
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| 24 |
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"3": "Roystonea regia",
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| 25 |
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"4": "Tabebuia"
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| 26 |
+
},
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| 27 |
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"image_size": 224,
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| 28 |
+
"initializer_range": 0.02,
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| 29 |
+
"label2id": {
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| 30 |
+
"Iinstia bijuga": 0,
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| 31 |
+
"Mangifera indica": 1,
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| 32 |
+
"Pterocarpus indicus": 2,
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| 33 |
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"Roystonea regia": 3,
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| 34 |
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"Tabebuia": 4
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| 35 |
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},
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| 36 |
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"layer_norm_eps": 1e-12,
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| 37 |
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"layer_scale_init_value": 1e-06,
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| 38 |
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"model_type": "convnext",
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| 39 |
+
"num_channels": 3,
|
| 40 |
+
"num_stages": 4,
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| 41 |
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"out_features": [
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| 42 |
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"stage4"
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| 43 |
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],
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| 44 |
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"out_indices": [
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| 45 |
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4
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| 46 |
+
],
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| 47 |
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"patch_size": 4,
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| 48 |
+
"problem_type": "single_label_classification",
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| 49 |
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"stage_names": [
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| 50 |
+
"stem",
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| 51 |
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"stage1",
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| 52 |
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"stage2",
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| 53 |
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"stage3",
|
| 54 |
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"stage4"
|
| 55 |
+
],
|
| 56 |
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"torch_dtype": "float32",
|
| 57 |
+
"transformers_version": "4.45.2"
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| 58 |
+
}
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eval_results.json
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| 1 |
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{
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| 2 |
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"epoch": 13.0,
|
| 3 |
+
"eval_accuracy": 0.9939393939393939,
|
| 4 |
+
"eval_error_rate": 0.0060606060606061,
|
| 5 |
+
"eval_f1": 0.993419541966282,
|
| 6 |
+
"eval_loss": 0.0794038251042366,
|
| 7 |
+
"eval_precision": 0.9936145510835913,
|
| 8 |
+
"eval_recall": 0.993421052631579,
|
| 9 |
+
"eval_runtime": 51.0106,
|
| 10 |
+
"eval_samples_per_second": 2.98,
|
| 11 |
+
"eval_steps_per_second": 0.098,
|
| 12 |
+
"eval_top1_accuracy": 0.993421052631579
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| 13 |
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}
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model.safetensors
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| 1 |
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0799eed45249c597bd5706cd54239ba58459cb5916a27dddda3eccc89547767d
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| 3 |
+
size 111317164
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preprocessor_config.json
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| 1 |
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{
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| 2 |
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"crop_pct": 0.875,
|
| 3 |
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"do_normalize": true,
|
| 4 |
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"do_rescale": true,
|
| 5 |
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"do_resize": true,
|
| 6 |
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"image_mean": [
|
| 7 |
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0.485,
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| 8 |
+
0.456,
|
| 9 |
+
0.406
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| 10 |
+
],
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| 11 |
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"image_processor_type": "ConvNextImageProcessor",
|
| 12 |
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"image_std": [
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| 13 |
+
0.229,
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| 14 |
+
0.224,
|
| 15 |
+
0.225
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| 16 |
+
],
|
| 17 |
+
"resample": 3,
|
| 18 |
+
"rescale_factor": 0.00392156862745098,
|
| 19 |
+
"size": {
|
| 20 |
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"shortest_edge": 224
|
| 21 |
+
}
|
| 22 |
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}
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train_results.json
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{
|
| 2 |
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"epoch": 13.0,
|
| 3 |
+
"total_flos": 3.972506461105029e+17,
|
| 4 |
+
"train_loss": 0.8004542765347099,
|
| 5 |
+
"train_runtime": 7158.591,
|
| 6 |
+
"train_samples_per_second": 5.096,
|
| 7 |
+
"train_steps_per_second": 0.159
|
| 8 |
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}
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trainer_state.json
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training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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