Training in progress, epoch 4
Browse files
config.json
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{
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"_name_or_path": "facebook/dinov2-small-imagenet1k-1-layer",
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"apply_layernorm": true,
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"architectures": [
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"Dinov2ForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"drop_path_rate": 0.0,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 384,
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"id2label": {
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"0": "Flat Arch",
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"1": "High Arch",
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"2": "Normal Arch"
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},
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"image_size": 518,
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"initializer_range": 0.02,
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"label2id": {
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"Flat Arch": "0",
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"High Arch": "1",
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"Normal Arch": "2"
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},
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"layer_norm_eps": 1e-06,
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"layerscale_value": 1.0,
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"mlp_ratio": 4,
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"model_type": "dinov2",
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"num_attention_heads": 6,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"out_features": [
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"stage12"
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],
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"out_indices": [
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12
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],
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"patch_size": 14,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"reshape_hidden_states": 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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"stage5",
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"stage6",
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"stage7",
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"stage8",
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"stage9",
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"stage10",
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"stage11",
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| 54 |
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"stage12"
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| 55 |
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],
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"torch_dtype": "float32",
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| 57 |
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"transformers_version": "4.35.2",
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"use_swiglu_ffn": false
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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 sha256:189dbf52c9b993bee520fd17458744f6e777215055acb799f39aa70fa1b4a980
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size 88260908
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preprocessor_config.json
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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": true,
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"do_convert_rgb": true,
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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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| 11 |
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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": "BitImageProcessor",
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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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| 23 |
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge": 256
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},
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| 27 |
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"use_square_size": false
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| 28 |
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}
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runs/Dec13_15-14-58_d1e06785a409/events.out.tfevents.1702480499.d1e06785a409.1658.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:1334fb0e725a0abb445f5c43d35a5cd3a7e2da74daf5fa13a0cd9bc3b665ebcc
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size 6742
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training_args.bin
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:404bfd780149259ed36f69280035a9876788328c08774e65b42816e953b57374
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size 4600
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