Training in progress, step 100
Browse files
config.json
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{
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"_name_or_path": "google/vit-base-patch16-224-in21k",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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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": "AB",
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"1": "C",
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"2": "D"
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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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"AB": "0",
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"C": "1",
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"D": "2"
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},
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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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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"patch_size": 16,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.41.1"
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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:d139e46d39bea90b6a15a00d143970be74f3613c51496f8735abae45fcd3833b
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size 343227052
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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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"do_resize",
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"size",
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"resample",
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"do_rescale",
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"rescale_factor",
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"do_normalize",
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"image_mean",
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"image_std",
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"return_tensors",
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"data_format",
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"input_data_format"
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],
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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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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "ViTImageProcessor",
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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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runs/May28_19-14-16_0846ebbfb3df/events.out.tfevents.1716923810.0846ebbfb3df.486.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:9cd80a2c150df65a602f9f6e4a43c12f4812fea74c9008f6e892bcdb27af66a6
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size 7196
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:903a7f432c40f261c3e7cbc0a782c01e8d168a172aa6c44cce26b54176990b99
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| 3 |
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size 5112
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