commit files to HF hub
Browse files- README.md +4 -4
- config.json +5 -5
- pytorch_model.bin +2 -2
- runs/events.out.tfevents.1687074489.d4551e1eb1e6.3855.0 +3 -0
README.md
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@@ -18,16 +18,16 @@ model-index:
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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- name: Precision
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type: Precision
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value: 0.
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- name: Recall
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type: Recall
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value: 0.
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- name: F1Score
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type: F1Score
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value: 0.
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---
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# ArSL VIT
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9934656620025635
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- name: Precision
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type: Precision
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value: 0.9939382672309875
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- name: Recall
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type: Recall
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value: 0.9934656620025635
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- name: F1Score
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type: F1Score
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value: 0.9933341145515442
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---
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# ArSL VIT
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config.json
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{
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"_name_or_path": "google/vit-
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"architectures": [
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"ViTForImageClassification"
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],
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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":
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"id2label": {
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"0": "ain",
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"1": "al",
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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":
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"label2id": {
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"ain": "0",
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"al": "1",
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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":
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"num_channels": 3,
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"num_hidden_layers":
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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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{
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"_name_or_path": "google/vit-large-patch16-224-in21k",
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"architectures": [
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"ViTForImageClassification"
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],
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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": 1024,
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"id2label": {
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"0": "ain",
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"1": "al",
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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": 4096,
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"label2id": {
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"ain": "0",
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"al": "1",
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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": 16,
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"num_channels": 3,
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"num_hidden_layers": 24,
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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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pytorch_model.bin
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runs/events.out.tfevents.1687074489.d4551e1eb1e6.3855.0
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size 36747
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