sammy786 commited on
Commit
d047f4c
1 Parent(s): 1a7590a

upload model files

Browse files
Files changed (3) hide show
  1. config.json +15 -15
  2. pytorch_model.bin +2 -2
  3. vocab.json +1 -1
config.json CHANGED
@@ -1,6 +1,6 @@
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  {
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- "_name_or_path": "facebook/wav2vec2-xls-r-300m",
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- "activation_dropout": 0.05,
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  "adapter_kernel_size": 3,
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  "adapter_stride": 2,
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  "add_adapter": false,
@@ -8,10 +8,10 @@
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  "architectures": [
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  "Wav2Vec2ForCTC"
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  ],
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- "attention_dropout": 0.05,
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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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  "conv_dim": [
@@ -49,22 +49,22 @@
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  "feat_extract_activation": "gelu",
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  "feat_extract_dropout": 0.0,
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  "feat_extract_norm": "layer",
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- "feat_proj_dropout": 0.05,
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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": 0.05,
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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": 0.05,
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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": 0.01,
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  "model_type": "wav2vec2",
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  "num_adapter_layers": 3,
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  "num_attention_heads": 16,
@@ -73,11 +73,11 @@
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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": 24,
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  "num_negatives": 100,
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- "output_hidden_size": 1024,
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- "pad_token_id": 28,
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- "proj_codevector_dim": 768,
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  "tdnn_dilation": [
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  1,
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  2,
@@ -102,6 +102,6 @@
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  "torch_dtype": "float32",
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  "transformers_version": "4.16.0.dev0",
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  "use_weighted_layer_sum": false,
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- "vocab_size": 29,
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  "xvector_output_dim": 512
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  }
 
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  {
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+ "_name_or_path": "facebook/wav2vec2-xls-r-1b",
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+ "activation_dropout": 0.1,
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  "adapter_kernel_size": 3,
5
  "adapter_stride": 2,
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  "add_adapter": false,
 
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  "architectures": [
9
  "Wav2Vec2ForCTC"
10
  ],
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+ "attention_dropout": 0.1,
12
  "bos_token_id": 1,
13
  "classifier_proj_size": 256,
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+ "codevector_dim": 1024,
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  "contrastive_logits_temperature": 0.1,
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  "conv_bias": true,
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  "conv_dim": [
 
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  "feat_extract_activation": "gelu",
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  "feat_extract_dropout": 0.0,
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  "feat_extract_norm": "layer",
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+ "feat_proj_dropout": 0.1,
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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": 0.1,
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+ "hidden_size": 1280,
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  "initializer_range": 0.02,
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+ "intermediate_size": 5120,
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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": "wav2vec2",
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  "num_adapter_layers": 3,
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  "num_attention_heads": 16,
 
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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": 48,
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  "num_negatives": 100,
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+ "output_hidden_size": 1280,
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+ "pad_token_id": 32,
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+ "proj_codevector_dim": 1024,
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  "tdnn_dilation": [
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  1,
83
  2,
 
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  "torch_dtype": "float32",
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  "transformers_version": "4.16.0.dev0",
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  "use_weighted_layer_sum": false,
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+ "vocab_size": 33,
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  "xvector_output_dim": 512
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  }
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:c41cd711846e1acd08684d6d899d1741b010b10623856bd921268c50a8a1608a
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- size 1262042545
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:3fdd41c420e3f17a153e2726b9758a4cf92583ea037d87729ae66574977a341a
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+ size 3850481841
vocab.json CHANGED
@@ -1 +1 @@
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- {"c": 0, "w": 1, "s": 2, "v": 3, "g": 4, "t": 5, "i": 6, "j": 7, "u": 8, "a": 9, "l": 10, "h": 11, "y": 12, "q": 13, "e": 14, "f": 15, "k": 16, "r": 17, "p": 18, "n": 20, "z": 21, "d": 22, "m": 23, "o": 24, "x": 25, "b": 26, "|": 19, "[UNK]": 27, "[PAD]": 28}
 
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+ {"f": 0, "z": 1, "v": 2, "h": 3, "å": 4, "ö": 5, "d": 6, "l": 7, "s": 8, "ä": 9, "?": 10, "k": 11, "t": 12, "j": 13, "g": 14, "m": 15, "r": 16, "a": 17, "u": 18, "e": 19, "w": 20, "y": 21, "i": 23, "x": 24, "c": 25, "n": 26, "o": 27, "p": 28, "b": 29, "q": 30, "|": 22, "[UNK]": 31, "[PAD]": 32}