fixed labeling bug
Browse files- README.md +9 -7
- all_results.json +4 -4
- config.json +74 -74
- model.safetensors +1 -1
- runs/Mar30_12-24-34_837f7dd663e8/events.out.tfevents.1711801475.837f7dd663e8.302.0 +3 -0
- train_results.json +4 -4
- trainer_state.json +270 -91
- training_args.bin +1 -1
README.md
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@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the pcuenq/oxford-pets dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size:
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- eval_batch_size:
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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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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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- Transformers 4.39.2
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- Pytorch 2.
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- Datasets 2.16.0
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- Tokenizers 0.15.2
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the pcuenq/oxford-pets dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0058
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- Accuracy: 0.9988
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 64
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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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- lr_scheduler_type: linear
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.3713 | 0.86 | 100 | 0.2084 | 0.9307 |
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| 0.1173 | 1.72 | 200 | 0.0774 | 0.9763 |
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| 0.0612 | 2.59 | 300 | 0.0212 | 0.9947 |
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| 0.007 | 3.45 | 400 | 0.0058 | 0.9988 |
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### Framework versions
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- Transformers 4.39.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.16.0
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- Tokenizers 0.15.2
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all_results.json
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{
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"epoch": 4.0,
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"total_flos": 2.2913817801515827e+18,
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"train_loss": 0.
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"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second": 0.
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}
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{
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"epoch": 4.0,
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"total_flos": 2.2913817801515827e+18,
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"train_loss": 0.19263494449491003,
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"train_runtime": 813.2364,
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"train_samples_per_second": 36.349,
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"train_steps_per_second": 0.571
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}
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config.json
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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": "
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"1": "
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"10": "
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"11": "
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"12": "
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"13": "
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"14": "
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"15": "
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"16": "
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"17": "
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"18": "
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"19": "
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"2": "
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"20": "
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"21": "
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"22": "
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"23": "
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"24": "
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"25": "
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"26": "
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"27": "
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"28": "
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"29": "
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"3": "
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"30": "
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"31": "
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"32": "
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"33": "
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"34": "
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"35": "
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"36": "
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"4": "
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"5": "
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"6": "
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"7": "
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"8": "British Shorthair
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"9": "wheaten terrier
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"Abyssinian
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"Bengal
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"Birman
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"Bombay
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"British Shorthair
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"Egyptian Mau
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"Maine Coon
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"Persian
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"Ragdoll
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"Russian Blue
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"Siamese
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"Sphynx
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"american bulldog
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"american pit bull terrier
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"basset hound
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"beagle
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"boxer
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"chihuahua
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"english cocker spaniel
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"english setter
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"german shorthaired
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"great pyrenees
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"havanese
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"japanese chin
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"keeshond
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"leonberger
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"miniature pinscher
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"newfoundland
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"pomeranian
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"pug
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"saint bernard
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"samoyed
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"scottish terrier
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"shiba inu
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"staffordshire bull terrier
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"wheaten terrier
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"yorkshire terrier
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},
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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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": "saint bernard dog",
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"1": "Ragdoll cat",
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"10": "keeshond dog",
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"11": "english cocker spaniel dog",
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"12": "beagle dog",
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"13": "Russian Blue cat",
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"14": "scottish terrier dog",
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"15": "newfoundland dog",
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"16": "Bombay cat",
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"17": "Bengal cat",
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"18": "japanese chin dog",
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"19": "Sphynx cat",
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"2": "havanese dog",
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"20": "Persian cat",
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"21": "shiba inu dog",
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"22": "english setter dog",
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"23": "great pyrenees dog",
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"24": "chihuahua dog",
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"25": "miniature pinscher dog",
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"26": "pomeranian dog",
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"27": "Abyssinian cat",
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"28": "basset hound dog",
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"29": "Birman cat",
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"3": "Egyptian Mau cat",
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"30": "german shorthaired dog",
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"31": "american bulldog dog",
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"32": "american pit bull terrier dog",
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"33": "staffordshire bull terrier dog",
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"34": "Maine Coon cat",
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"35": "samoyed dog",
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"36": "boxer dog",
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"4": "Siamese cat",
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"5": "yorkshire terrier dog",
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"6": "leonberger dog",
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"7": "pug dog",
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"8": "British Shorthair cat",
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"9": "wheaten terrier dog"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"Abyssinian cat": "27",
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"Bengal cat": "17",
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"Birman cat": "29",
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"Bombay cat": "16",
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"British Shorthair cat": "8",
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"Egyptian Mau cat": "3",
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"Maine Coon cat": "34",
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"Persian cat": "20",
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"Ragdoll cat": "1",
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"Russian Blue cat": "13",
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"Siamese cat": "4",
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"Sphynx cat": "19",
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"american bulldog dog": "31",
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"american pit bull terrier dog": "32",
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"basset hound dog": "28",
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"beagle dog": "12",
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"boxer dog": "36",
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"chihuahua dog": "24",
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"english cocker spaniel dog": "11",
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"english setter dog": "22",
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"german shorthaired dog": "30",
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"great pyrenees dog": "23",
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"havanese dog": "2",
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"japanese chin dog": "18",
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"keeshond dog": "10",
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"leonberger dog": "6",
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"miniature pinscher dog": "25",
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"newfoundland dog": "15",
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"pomeranian dog": "26",
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"pug dog": "7",
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"saint bernard dog": "0",
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"samoyed dog": "35",
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"scottish terrier dog": "14",
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"shiba inu dog": "21",
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"staffordshire bull terrier dog": "33",
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"wheaten terrier dog": "9",
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"yorkshire terrier dog": "5"
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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model.safetensors
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train_results.json
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{
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"epoch": 4.0,
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"total_flos": 2.2913817801515827e+18,
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"train_loss": 0.
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"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second": 0.
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}
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{
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"epoch": 4.0,
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"total_flos": 2.2913817801515827e+18,
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trainer_state.json
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{
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"best_metric": 0.
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