Training in progress, epoch 1
Browse files- README.md +80 -0
- all_results.json +12 -0
- config.json +65 -0
- eval_results.json +8 -0
- model.safetensors +3 -0
- preprocessor_config.json +36 -0
- runs/Apr09_15-29-38_img-srch-kworker2/events.out.tfevents.1712656780.img-srch-kworker2.513913.0 +3 -0
- runs/Apr09_15-36-44_img-srch-kworker2/events.out.tfevents.1712657205.img-srch-kworker2.515115.0 +3 -0
- runs/Apr09_15-36-44_img-srch-kworker2/events.out.tfevents.1712660576.img-srch-kworker2.515115.1 +3 -0
- runs/Apr29_15-06-40_img-srch-kworker3/events.out.tfevents.1714383412.img-srch-kworker3.432422.0 +3 -0
- runs/Apr29_15-16-00_img-srch-kworker3/events.out.tfevents.1714383962.img-srch-kworker3.434621.0 +3 -0
- runs/Apr29_15-20-12_img-srch-kworker3/events.out.tfevents.1714384213.img-srch-kworker3.435443.0 +3 -0
- train_results.json +7 -0
- trainer_state.json +1303 -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: microsoft/swin-tiny-patch4-window7-224
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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: swin-tiny-patch4-window7-224-finetuned-eurosat
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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: 0.8009728415079044
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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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# swin-tiny-patch4-window7-224-finetuned-eurosat
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This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3679
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- Accuracy: 0.8010
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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: 3
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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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| 0.5941 | 1.0 | 694 | 0.4620 | 0.7458 |
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| 0.4836 | 2.0 | 1388 | 0.3887 | 0.7924 |
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| 0.4672 | 3.0 | 2082 | 0.3679 | 0.8010 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 1.12.1+cu113
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- Datasets 2.17.1
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- Tokenizers 0.14.1
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all_results.json
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{
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| 2 |
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"epoch": 3.0,
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| 3 |
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"eval_accuracy": 0.8009728415079044,
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| 4 |
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"eval_loss": 0.3678824007511139,
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| 5 |
+
"eval_runtime": 100.1235,
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| 6 |
+
"eval_samples_per_second": 98.558,
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| 7 |
+
"eval_steps_per_second": 3.086,
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| 8 |
+
"train_loss": 0.5971084463836824,
|
| 9 |
+
"train_runtime": 3243.1106,
|
| 10 |
+
"train_samples_per_second": 82.147,
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| 11 |
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"train_steps_per_second": 0.642
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}
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config.json
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{
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| 2 |
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"_name_or_path": "microsoft/swin-tiny-patch4-window7-224",
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| 3 |
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"architectures": [
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| 4 |
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"SwinForImageClassification"
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| 5 |
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],
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| 6 |
+
"attention_probs_dropout_prob": 0.0,
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| 7 |
+
"depths": [
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2,
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2,
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+
6,
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2
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],
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| 13 |
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"drop_path_rate": 0.1,
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| 14 |
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"embed_dim": 96,
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| 15 |
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"encoder_stride": 32,
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| 16 |
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"hidden_act": "gelu",
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| 17 |
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"hidden_dropout_prob": 0.0,
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| 18 |
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"hidden_size": 768,
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| 19 |
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"id2label": {
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| 20 |
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"0": "0_degree",
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| 21 |
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"1": "180_degree",
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| 22 |
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"2": "270_degree",
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| 23 |
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"3": "90_degree"
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| 24 |
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},
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| 25 |
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"image_size": 224,
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| 26 |
+
"initializer_range": 0.02,
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| 27 |
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"label2id": {
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| 28 |
+
"0_degree": 0,
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| 29 |
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"180_degree": 1,
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| 30 |
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"270_degree": 2,
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| 31 |
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"90_degree": 3
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| 32 |
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},
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| 33 |
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"layer_norm_eps": 1e-05,
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| 34 |
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"mlp_ratio": 4.0,
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| 35 |
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"model_type": "swin",
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| 36 |
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"num_channels": 3,
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| 37 |
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"num_heads": [
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3,
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| 39 |
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6,
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12,
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24
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| 42 |
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],
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| 43 |
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"num_layers": 4,
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| 44 |
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"out_features": [
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| 45 |
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"stage4"
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| 46 |
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],
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| 47 |
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"out_indices": [
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| 48 |
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4
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],
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| 50 |
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"patch_size": 4,
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| 51 |
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"path_norm": true,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"stage_names": [
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"stem",
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"stage1",
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"stage2",
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"stage3",
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| 59 |
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"stage4"
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| 60 |
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],
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"torch_dtype": "float32",
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| 62 |
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"transformers_version": "4.40.1",
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| 63 |
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"use_absolute_embeddings": false,
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"window_size": 7
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}
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eval_results.json
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{
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| 2 |
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"epoch": 3.0,
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| 3 |
+
"eval_accuracy": 0.8009728415079044,
|
| 4 |
+
"eval_loss": 0.3678824007511139,
|
| 5 |
+
"eval_runtime": 100.1235,
|
| 6 |
+
"eval_samples_per_second": 98.558,
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| 7 |
+
"eval_steps_per_second": 3.086
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| 8 |
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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 sha256:1bb676022e4d760a6fef37fc6370b840e499852e6a99de4730a566a591452574
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| 3 |
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size 110348984
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preprocessor_config.json
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{
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"_valid_processor_keys": [
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"images",
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| 4 |
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"do_resize",
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| 5 |
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"size",
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| 6 |
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"resample",
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| 7 |
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"do_rescale",
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| 8 |
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"rescale_factor",
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| 9 |
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"do_normalize",
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| 10 |
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"image_mean",
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| 11 |
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"image_std",
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| 12 |
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"return_tensors",
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| 13 |
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"data_format",
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| 14 |
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"input_data_format"
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| 15 |
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],
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| 16 |
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"do_normalize": true,
|
| 17 |
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"do_rescale": true,
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| 18 |
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"do_resize": true,
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| 19 |
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"image_mean": [
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| 20 |
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0.485,
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| 21 |
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0.456,
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| 22 |
+
0.406
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| 23 |
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],
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| 24 |
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"image_processor_type": "ViTImageProcessor",
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| 25 |
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"image_std": [
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| 26 |
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0.229,
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| 27 |
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0.224,
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| 28 |
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0.225
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| 29 |
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],
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| 30 |
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"resample": 3,
|
| 31 |
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"rescale_factor": 0.00392156862745098,
|
| 32 |
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"size": {
|
| 33 |
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"height": 224,
|
| 34 |
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"width": 224
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| 35 |
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}
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| 36 |
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}
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runs/Apr09_15-29-38_img-srch-kworker2/events.out.tfevents.1712656780.img-srch-kworker2.513913.0
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runs/Apr09_15-36-44_img-srch-kworker2/events.out.tfevents.1712657205.img-srch-kworker2.515115.0
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runs/Apr09_15-36-44_img-srch-kworker2/events.out.tfevents.1712660576.img-srch-kworker2.515115.1
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version https://git-lfs.github.com/spec/v1
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runs/Apr29_15-06-40_img-srch-kworker3/events.out.tfevents.1714383412.img-srch-kworker3.432422.0
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runs/Apr29_15-16-00_img-srch-kworker3/events.out.tfevents.1714383962.img-srch-kworker3.434621.0
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size 4184
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runs/Apr29_15-20-12_img-srch-kworker3/events.out.tfevents.1714384213.img-srch-kworker3.435443.0
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version https://git-lfs.github.com/spec/v1
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train_results.json
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{
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"epoch": 3.0,
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"train_loss": 0.5971084463836824,
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| 4 |
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"train_runtime": 3243.1106,
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| 5 |
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"train_samples_per_second": 82.147,
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| 6 |
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"train_steps_per_second": 0.642
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}
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trainer_state.json
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training_args.bin
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