Training in progress, epoch 0
Browse files- .gitignore +1 -0
- config.json +39 -0
- preprocessor_config.json +27 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
.gitignore
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checkpoint-*/
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config.json
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{
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"_name_or_path": "MCG-NJU/videomae-base",
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"architectures": [
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"VideoMAEForVideoClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"decoder_hidden_size": 384,
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"decoder_intermediate_size": 1536,
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"decoder_num_attention_heads": 6,
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"decoder_num_hidden_layers": 4,
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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": "bad",
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"1": "good"
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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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"bad": 0,
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"good": 1
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},
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"layer_norm_eps": 1e-12,
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"model_type": "videomae",
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"norm_pix_loss": true,
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_frames": 16,
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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": "4.29.2",
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"tubelet_size": 2,
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"use_mean_pooling": false
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}
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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_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"feature_extractor_type": "VideoMAEFeatureExtractor",
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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": "VideoMAEImageProcessor",
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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": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge": 224
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}
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:548ff06d730ce64551d3b5930e1e7a1f6f5319e18f82580e05f2ccd2cfad92c7
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size 344978933
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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:ceaf3270de629d66e9e9e1089186e82b70be8cdac3c09873209ce36a5a3a5ad2
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size 3963
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