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Files changed (2) hide show
  1. config.json +38 -7
  2. pytorch_model.bin +2 -2
config.json CHANGED
@@ -1,12 +1,16 @@
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  {
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- "_name_or_path": "models/wav2vec2-large-xlsr-53",
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  "activation_dropout": 0.0,
 
 
 
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  "apply_spec_augment": true,
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  "architectures": [
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  "Wav2Vec2ForCTC"
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  ],
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- "attention_dropout": 0.1,
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  "bos_token_id": 1,
 
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  "codevector_dim": 768,
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  "contrastive_logits_temperature": 0.1,
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  "conv_bias": true,
@@ -48,27 +52,29 @@
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  "feat_proj_dropout": 0.0,
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  "feat_quantizer_dropout": 0.0,
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  "final_dropout": 0.0,
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- "gradient_checkpointing": true,
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  "hidden_act": "gelu",
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- "hidden_dropout": 0.1,
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  "hidden_size": 1024,
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  "initializer_range": 0.02,
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  "intermediate_size": 4096,
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  "layer_norm_eps": 1e-05,
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- "layerdrop": 0.1,
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  "mask_channel_length": 10,
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  "mask_channel_min_space": 1,
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  "mask_channel_other": 0.0,
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  "mask_channel_prob": 0.0,
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  "mask_channel_selection": "static",
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  "mask_feature_length": 10,
 
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  "mask_feature_prob": 0.0,
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  "mask_time_length": 10,
 
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  "mask_time_min_space": 1,
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  "mask_time_other": 0.0,
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  "mask_time_prob": 0.05,
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  "mask_time_selection": "static",
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  "model_type": "wav2vec2",
 
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  "num_attention_heads": 16,
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  "num_codevector_groups": 2,
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  "num_codevectors_per_group": 320,
@@ -77,8 +83,33 @@
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  "num_feat_extract_layers": 7,
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  "num_hidden_layers": 24,
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  "num_negatives": 100,
 
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  "pad_token_id": 0,
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  "proj_codevector_dim": 768,
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- "transformers_version": "4.5.1",
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- "vocab_size": 37
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
 
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  {
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+ "_name_or_path": "bond005/wav2vec2-large-ru-golos",
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  "activation_dropout": 0.0,
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+ "adapter_kernel_size": 3,
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+ "adapter_stride": 2,
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+ "add_adapter": false,
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  "apply_spec_augment": true,
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  "architectures": [
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  "Wav2Vec2ForCTC"
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  ],
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+ "attention_dropout": 0.0,
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  "bos_token_id": 1,
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+ "classifier_proj_size": 256,
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  "codevector_dim": 768,
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  "contrastive_logits_temperature": 0.1,
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  "conv_bias": true,
 
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  "feat_proj_dropout": 0.0,
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  "feat_quantizer_dropout": 0.0,
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  "final_dropout": 0.0,
 
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  "hidden_act": "gelu",
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+ "hidden_dropout": 0.0,
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  "hidden_size": 1024,
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  "initializer_range": 0.02,
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  "intermediate_size": 4096,
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  "layer_norm_eps": 1e-05,
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+ "layerdrop": 0.0,
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  "mask_channel_length": 10,
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  "mask_channel_min_space": 1,
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  "mask_channel_other": 0.0,
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  "mask_channel_prob": 0.0,
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  "mask_channel_selection": "static",
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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_min_space": 1,
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  "mask_time_other": 0.0,
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  "mask_time_prob": 0.05,
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  "mask_time_selection": "static",
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  "model_type": "wav2vec2",
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+ "num_adapter_layers": 3,
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  "num_attention_heads": 16,
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  "num_codevector_groups": 2,
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  "num_codevectors_per_group": 320,
 
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  "num_feat_extract_layers": 7,
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  "num_hidden_layers": 24,
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  "num_negatives": 100,
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+ "output_hidden_size": 1024,
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  "pad_token_id": 0,
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  "proj_codevector_dim": 768,
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+ "tdnn_dilation": [
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+ 1,
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+ 2,
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+ 3,
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+ 1,
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+ 1
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+ ],
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+ "tdnn_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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+ 1500
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+ ],
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+ "tdnn_kernel": [
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+ 5,
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+ 3,
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+ 3,
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+ 1,
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+ 1
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+ ],
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.20.1",
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+ "use_weighted_layer_sum": false,
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+ "vocab_size": 37,
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+ "xvector_output_dim": 512
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  }
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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