Training in progress epoch 0
Browse files- .gitignore +2 -0
- config.json +108 -0
- model.safetensors +3 -0
- preprocessor_config.json +29 -0
.gitignore
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step_*
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epoch_*
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config.json
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{
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"_name_or_path": "google/efficientnet-b0",
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"architectures": [
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"EfficientNetForImageClassification"
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],
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"batch_norm_eps": 0.001,
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"batch_norm_momentum": 0.99,
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"depth_coefficient": 1.0,
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"depth_divisor": 8,
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"depthwise_padding": [],
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"drop_connect_rate": 0.2,
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"dropout_rate": 0.2,
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"expand_ratios": [
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1,
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6,
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6,
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6,
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6,
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6,
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6
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],
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"finetuning_task": "image-classification",
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"hidden_act": "swish",
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"hidden_dim": 1280,
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"id2label": {
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"0": "fermentado",
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"1": "hongo",
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"2": "insecto",
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"3": "insufi_fermen",
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"4": "pizarroso",
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"5": "violeta"
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},
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"image_size": 224,
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"in_channels": [
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32,
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16,
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24,
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40,
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80,
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112,
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192
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],
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"initializer_range": 0.02,
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"kernel_sizes": [
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3,
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3,
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5,
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3,
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5,
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5,
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3
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],
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"label2id": {
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"fermentado": "0",
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"hongo": "1",
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"insecto": "2",
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"insufi_fermen": "3",
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"pizarroso": "4",
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"violeta": "5"
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},
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"model_type": "efficientnet",
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"num_block_repeats": [
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1,
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2,
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2,
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3,
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3,
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4,
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1
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],
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"num_channels": 3,
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"num_hidden_layers": 64,
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"out_channels": [
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16,
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24,
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40,
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80,
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112,
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192,
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320
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],
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"out_features": null,
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"pooling_type": "mean",
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"problem_type": "single_label_classification",
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"squeeze_expansion_ratio": 0.25,
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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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"stage5",
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"stage6",
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"stage7"
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],
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"strides": [
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1,
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2,
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2,
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2,
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1,
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2,
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1
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],
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"torch_dtype": "float32",
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"transformers_version": "4.47.1",
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"width_coefficient": 1.0
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}
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model.safetensors
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:38f401a08c431960fa219f66737b85bd8929a8577a389b6ddd654005de4d3303
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size 16275624
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preprocessor_config.json
ADDED
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{
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"crop_size": {
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"height": 289,
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"width": 289
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},
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"do_center_crop": false,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.485,
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0.456,
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0.406
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],
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"image_processor_type": "EfficientNetImageProcessor",
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"image_std": [
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0.47853944,
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0.4732864,
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0.47434163
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],
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"include_top": true,
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"resample": 0,
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"rescale_factor": 0.00392156862745098,
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"rescale_offset": false,
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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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