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--- |
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license: apache-2.0 |
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base_model: microsoft/cvt-21-384-22k |
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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: cvt-21-384-22k-finetuned-LeafType |
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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: validation |
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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: 0.9310344827586207 |
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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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# cvt-21-384-22k-finetuned-LeafType |
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This model is a fine-tuned version of [microsoft/cvt-21-384-22k](https://huggingface.co/microsoft/cvt-21-384-22k) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2232 |
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- Accuracy: 0.9310 |
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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: 2e-05 |
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- train_batch_size: 160 |
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- eval_batch_size: 16 |
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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: 60 |
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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 | 1.0 | 11 | 0.4857 | 0.7586 | |
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| No log | 2.0 | 22 | 0.2275 | 0.9163 | |
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| No log | 3.0 | 33 | 0.2791 | 0.8867 | |
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| No log | 4.0 | 44 | 0.3083 | 0.8522 | |
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| No log | 5.0 | 55 | 0.1496 | 0.9458 | |
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| No log | 6.0 | 66 | 0.2092 | 0.8966 | |
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| No log | 7.0 | 77 | 0.3349 | 0.8522 | |
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| No log | 8.0 | 88 | 0.1513 | 0.9557 | |
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| No log | 9.0 | 99 | 0.1385 | 0.9557 | |
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| No log | 10.0 | 110 | 0.1676 | 0.9360 | |
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| No log | 11.0 | 121 | 0.1284 | 0.9507 | |
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| No log | 12.0 | 132 | 0.1981 | 0.9015 | |
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| No log | 13.0 | 143 | 0.1346 | 0.9360 | |
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| No log | 14.0 | 154 | 0.3235 | 0.8621 | |
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| No log | 15.0 | 165 | 0.1506 | 0.9310 | |
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| No log | 16.0 | 176 | 0.1536 | 0.9360 | |
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| No log | 17.0 | 187 | 0.1529 | 0.9458 | |
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| No log | 18.0 | 198 | 0.2431 | 0.8966 | |
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| No log | 19.0 | 209 | 0.2251 | 0.9163 | |
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| No log | 20.0 | 220 | 0.2068 | 0.9163 | |
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| No log | 21.0 | 231 | 0.1429 | 0.9458 | |
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| No log | 22.0 | 242 | 0.2078 | 0.9163 | |
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| No log | 23.0 | 253 | 0.1428 | 0.9360 | |
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| No log | 24.0 | 264 | 0.2391 | 0.8916 | |
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| No log | 25.0 | 275 | 0.1512 | 0.9458 | |
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| No log | 26.0 | 286 | 0.1512 | 0.9458 | |
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| No log | 27.0 | 297 | 0.1303 | 0.9606 | |
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| No log | 28.0 | 308 | 0.2381 | 0.8867 | |
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| No log | 29.0 | 319 | 0.1544 | 0.9458 | |
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| No log | 30.0 | 330 | 0.2149 | 0.8916 | |
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| No log | 31.0 | 341 | 0.1387 | 0.9557 | |
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| No log | 32.0 | 352 | 0.1698 | 0.9360 | |
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| No log | 33.0 | 363 | 0.1750 | 0.9409 | |
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| No log | 34.0 | 374 | 0.2041 | 0.9113 | |
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| No log | 35.0 | 385 | 0.1888 | 0.9360 | |
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| No log | 36.0 | 396 | 0.1527 | 0.9458 | |
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| No log | 37.0 | 407 | 0.1721 | 0.9360 | |
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| No log | 38.0 | 418 | 0.1720 | 0.9409 | |
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| No log | 39.0 | 429 | 0.1810 | 0.9360 | |
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| No log | 40.0 | 440 | 0.2041 | 0.9261 | |
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| No log | 41.0 | 451 | 0.1945 | 0.9261 | |
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| No log | 42.0 | 462 | 0.2211 | 0.9163 | |
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| No log | 43.0 | 473 | 0.2284 | 0.9163 | |
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| No log | 44.0 | 484 | 0.1905 | 0.9261 | |
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| No log | 45.0 | 495 | 0.2329 | 0.9113 | |
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| 0.2716 | 46.0 | 506 | 0.1839 | 0.9360 | |
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| 0.2716 | 47.0 | 517 | 0.1854 | 0.9310 | |
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| 0.2716 | 48.0 | 528 | 0.1923 | 0.9310 | |
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| 0.2716 | 49.0 | 539 | 0.2254 | 0.9261 | |
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| 0.2716 | 50.0 | 550 | 0.2677 | 0.9015 | |
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| 0.2716 | 51.0 | 561 | 0.2620 | 0.9015 | |
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| 0.2716 | 52.0 | 572 | 0.2224 | 0.9261 | |
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| 0.2716 | 53.0 | 583 | 0.2238 | 0.9310 | |
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| 0.2716 | 54.0 | 594 | 0.2355 | 0.9212 | |
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| 0.2716 | 55.0 | 605 | 0.2533 | 0.9261 | |
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| 0.2716 | 56.0 | 616 | 0.2237 | 0.9310 | |
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| 0.2716 | 57.0 | 627 | 0.2296 | 0.9310 | |
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| 0.2716 | 58.0 | 638 | 0.2361 | 0.9310 | |
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| 0.2716 | 59.0 | 649 | 0.2358 | 0.9310 | |
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| 0.2716 | 60.0 | 660 | 0.2232 | 0.9310 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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