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Commit From AutoTrain

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Files changed (5) hide show
  1. .gitattributes +3 -0
  2. README.md +37 -0
  3. config.json +66 -0
  4. preprocessor_config.json +29 -0
  5. pytorch_model.bin +3 -0
.gitattributes CHANGED
@@ -32,3 +32,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ *.bin.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.gz filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ tags:
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+ - autotrain
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+ - vision
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+ - image-classification
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+ datasets:
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+ - Lloviant/autotrain-data-ex-and-pt
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+ widget:
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+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
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+ example_title: Tiger
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+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
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+ example_title: Teapot
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+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
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+ example_title: Palace
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+ co2_eq_emissions:
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+ emissions: 0.42285127723587795
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+ ---
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+
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+ # Model Trained Using AutoTrain
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+
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+ - Problem type: Multi-class Classification
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+ - Model ID: 3122688390
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+ - CO2 Emissions (in grams): 0.4229
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+
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+ ## Validation Metrics
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+
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+ - Loss: 1.919
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+ - Accuracy: 0.286
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+ - Macro F1: 0.214
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+ - Micro F1: 0.286
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+ - Weighted F1: 0.184
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+ - Macro Precision: 0.194
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+ - Micro Precision: 0.286
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+ - Weighted Precision: 0.167
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+ - Macro Recall: 0.333
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+ - Micro Recall: 0.286
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+ - Weighted Recall: 0.286
config.json ADDED
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+ {
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+ "_name_or_path": "AutoTrain",
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+ "architectures": [
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+ "BeitForImageClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "auxiliary_channels": 256,
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+ "auxiliary_concat_input": false,
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+ "auxiliary_loss_weight": 0.4,
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+ "auxiliary_num_convs": 1,
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+ "drop_path_rate": 0.1,
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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": "EX and PT",
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+ "1": "EX and PT Logo",
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+ "2": "EX and PT Mutant",
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+ "3": "EX and PT Mutants",
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+ "4": "EX and PT TCG",
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+ "5": "Vagitron"
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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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+ "EX and PT": "0",
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+ "EX and PT Logo": "1",
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+ "EX and PT Mutant": "2",
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+ "EX and PT Mutants": "3",
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+ "EX and PT TCG": "4",
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+ "Vagitron": "5"
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "layer_scale_init_value": 0.1,
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+ "max_length": 128,
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+ "model_type": "beit",
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+ "num_attention_heads": 12,
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+ "num_channels": 3,
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+ "num_hidden_layers": 12,
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+ "out_indices": [
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+ 3,
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+ 5,
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+ 7,
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+ 11
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+ ],
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+ "padding": "max_length",
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+ "patch_size": 16,
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+ "pool_scales": [
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+ 1,
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+ 2,
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+ 3,
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+ 6
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+ ],
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+ "problem_type": "single_label_classification",
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+ "semantic_loss_ignore_index": 255,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.25.1",
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+ "use_absolute_position_embeddings": false,
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+ "use_auxiliary_head": true,
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+ "use_mask_token": false,
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+ "use_mean_pooling": true,
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+ "use_relative_position_bias": true,
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+ "use_shared_relative_position_bias": false,
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+ "vocab_size": 8192
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+ }
preprocessor_config.json ADDED
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+ {
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+ "crop_size": {
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+ "height": 224,
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+ "width": 224
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+ },
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+ "do_center_crop": false,
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+ "do_normalize": true,
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+ "do_reduce_labels": false,
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+ "do_rescale": true,
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+ "do_resize": true,
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+ "feature_extractor_type": "BeitFeatureExtractor",
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+ "image_mean": [
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+ 0.5,
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+ 0.5,
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+ 0.5
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+ ],
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+ "image_processor_type": "BeitImageProcessor",
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+ "image_std": [
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+ 0.5,
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+ 0.5,
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+ 0.5
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+ ],
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+ "resample": 2,
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+ "rescale_factor": 0.00392156862745098,
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+ "size": {
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+ "height": 224,
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+ "width": 224
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+ }
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+ }
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