Training in progress, epoch 1
Browse files
config.json
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{
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"_name_or_path": "vuongnhathien/SwinV2-30VNFood",
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"architectures": [
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"Swinv2ForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"depths": [
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2,
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2,
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6,
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2
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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": 0,
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"1": 1,
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"2": 2,
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"3": 3,
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"4": 4,
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"5": 5,
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"6": 6,
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"7": 7
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},
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"image_size": 256,
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"initializer_range": 0.02,
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"label2id": {
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"0": 0,
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"1": 1,
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"2": 2,
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"3": 3,
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"4": 4,
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"5": 5,
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"6": 6,
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"7": 7
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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": "swinv2",
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"num_channels": 3,
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"num_heads": [
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3,
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6,
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12,
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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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"pretrained_window_sizes": [
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0,
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0,
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0,
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0
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],
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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": "4.39.3",
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"use_absolute_embeddings": false,
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"window_size": 16
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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:f4c8271eeab32e2e931ccb6aedc0276c6c6f3ccd70a582f3db28db0d5ea2538c
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size 110368600
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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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| 11 |
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"image_std",
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| 12 |
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"return_tensors",
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"data_format",
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| 14 |
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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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0.485,
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0.456,
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0.406
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],
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"image_processor_type": "ViTImageProcessor",
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 256,
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"width": 256
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}
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}
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runs/May21_06-46-06_e1e7962a67c6/events.out.tfevents.1716273990.e1e7962a67c6.34.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:5c249cc3dd4474bc6e20099229b875b7fc952f39f79653a3d7281d56b26c5998
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size 5505
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:d0d2424346c1feaf1b1618b21749fcc54c8c4d568ba798c49e3f1726d62d3ad0
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size 4920
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