End of training
Browse files- README.md +67 -0
- all_results.json +13 -0
- config.json +87 -0
- eval_results.json +8 -0
- model.safetensors +3 -0
- preprocessor_config.json +36 -0
- runs/May18_22-58-23_aad0bb7717de/events.out.tfevents.1716073130.aad0bb7717de.2141.0 +3 -0
- runs/May18_22-58-23_aad0bb7717de/events.out.tfevents.1716073286.aad0bb7717de.2141.1 +3 -0
- runs/May18_23-02-06_aad0bb7717de/events.out.tfevents.1716073333.aad0bb7717de.2141.2 +3 -0
- runs/May18_23-02-29_aad0bb7717de/events.out.tfevents.1716073354.aad0bb7717de.2141.3 +3 -0
- runs/May18_23-02-29_aad0bb7717de/events.out.tfevents.1716073572.aad0bb7717de.2141.4 +3 -0
- runs/May18_23-07-12_aad0bb7717de/events.out.tfevents.1716073636.aad0bb7717de.2141.5 +3 -0
- runs/May18_23-07-12_aad0bb7717de/events.out.tfevents.1716073957.aad0bb7717de.2141.6 +3 -0
- train_results.json +8 -0
- trainer_state.json +117 -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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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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---
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9148
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- Accuracy: 0.3938
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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: 5
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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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| 2.6414 | 0.9630 | 13 | 2.4260 | 0.2746 |
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| 2.4558 | 2.0 | 27 | 2.1558 | 0.3368 |
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| 2.1176 | 2.9630 | 40 | 2.0164 | 0.3834 |
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| 2.0264 | 4.0 | 54 | 1.9314 | 0.3886 |
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| 1.9409 | 4.8148 | 65 | 1.9148 | 0.3938 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 4.814814814814815,
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"eval_accuracy": 0.39378238341968913,
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"eval_loss": 1.9148268699645996,
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"eval_runtime": 4.2598,
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"eval_samples_per_second": 45.307,
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"eval_steps_per_second": 1.643,
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"total_flos": 1.0808265111345562e+18,
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"train_loss": 2.2193346903874325,
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"train_runtime": 316.4726,
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"train_samples_per_second": 27.301,
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"train_steps_per_second": 0.205
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}
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config.json
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{
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"_name_or_path": "microsoft/swin-tiny-patch4-window7-224",
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"architectures": [
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"SwinForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"depths": [
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],
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"drop_path_rate": 0.1,
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"embed_dim": 96,
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"encoder_stride": 32,
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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": "Amoxicillin",
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"1": "Ampicillin",
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"2": "Aspirin",
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"3": "Bleomycine",
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"4": "Cefixime",
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"5": "Cefotaxime",
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"6": "Ceftriaxone",
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"7": "Cefuroxime",
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"8": "Ciprofloxacin",
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"9": "Clopidogre",
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"10": "Gentamycine",
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"11": "Levofloxacin",
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"12": "Losartan",
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"13": "Neomycin",
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"14": "Valsartan"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"label2id": {
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"Amoxicillin": 0,
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"Ampicillin": 1,
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"Aspirin": 2,
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"Bleomycine": 3,
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"Cefixime": 4,
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"Cefotaxime": 5,
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"Ceftriaxone": 6,
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"Cefuroxime": 7,
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"Ciprofloxacin": 8,
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"Clopidogre": 9,
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"Gentamycine": 10,
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"Levofloxacin": 11,
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"Losartan": 12,
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"Neomycin": 13,
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"Valsartan": 14
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},
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"layer_norm_eps": 1e-05,
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"mlp_ratio": 4.0,
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"model_type": "swin",
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"num_channels": 3,
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"num_heads": [
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3,
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24
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],
|
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"num_layers": 4,
|
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"out_features": [
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"stage4"
|
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],
|
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"out_indices": [
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4
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],
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"patch_size": 4,
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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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"stage4"
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],
|
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"torch_dtype": "float32",
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"transformers_version": "4.40.2",
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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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"eval_samples_per_second": 45.307,
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"eval_steps_per_second": 1.643
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}
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model.safetensors
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size 110382828
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preprocessor_config.json
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{
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"_valid_processor_keys": [
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"data_format",
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"size": {
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}
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runs/May18_22-58-23_aad0bb7717de/events.out.tfevents.1716073130.aad0bb7717de.2141.0
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train_results.json
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trainer_state.json
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@@ -0,0 +1,3 @@
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