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Upload HubertForCTC

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  1. config.json +80 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "team-lucid/hubert-base-korean",
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+ "activation_dropout": 0.1,
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+ "apply_spec_augment": true,
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+ "architectures": [
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+ "HubertForCTC"
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+ ],
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+ "attention_dropout": 0.1,
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+ "auto_map": {
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+ "FlaxAutoModel": "team-lucid/hubert-base-korean--modeling_flax_hubert.FlaxHubertModel"
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+ },
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+ "bos_token_id": 1,
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+ "classifier_proj_size": 256,
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+ "conv_bias": false,
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+ "conv_dim": [
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+ 512,
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+ 512,
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+ 512,
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+ 512,
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+ 512,
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+ 512,
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+ 512
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+ ],
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+ "conv_kernel": [
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+ 10,
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+ 3,
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+ 3,
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+ 2,
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+ 2
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+ ],
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+ "conv_stride": [
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+ 5,
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+ 2,
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+ 2,
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+ 2,
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+ 2,
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+ 2,
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+ 2
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+ ],
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+ "ctc_loss_reduction": "mean",
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+ "ctc_zero_infinity": false,
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+ "do_stable_layer_norm": false,
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+ "eos_token_id": 2,
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+ "feat_extract_activation": "gelu",
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+ "feat_extract_dropout": 0.0,
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+ "feat_extract_norm": "group",
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+ "feat_proj_dropout": 0.0,
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+ "feat_proj_layer_norm": true,
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+ "final_dropout": 0.1,
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+ "final_proj_size": 256,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout": 0.1,
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-05,
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+ "layerdrop": 0.1,
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+ "mask_feature_length": 10,
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+ "mask_feature_min_masks": 0,
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+ "mask_feature_prob": 0.0,
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+ "mask_time_length": 10,
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+ "mask_time_min_masks": 2,
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+ "mask_time_prob": 0.05,
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+ "model_type": "hubert",
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+ "num_attention_heads": 12,
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+ "num_conv_pos_embedding_groups": 16,
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+ "num_conv_pos_embeddings": 128,
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+ "num_feat_extract_layers": 7,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 2142,
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+ "tokenizer_class": "Wav2Vec2CTCTokenizer",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.34.1",
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+ "use_weighted_layer_sum": false,
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+ "vocab_size": 2145
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+ }
pytorch_model.bin ADDED
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+ size 384154977