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config.json

@@ -1,6 +1,9 @@
 {
   "_name_or_path": "facebook/wav2vec2-base-960h",
   "activation_dropout": 0.0,
+  "adapter_kernel_size": 3,
+  "adapter_stride": 2,
+  "add_adapter": false,
   "apply_spec_augment": true,
   "architectures": [
     "Wav2Vec2ForXVector"
@@ -2488,8 +2491,10 @@
   "mask_channel_prob": 0.0,
   "mask_channel_selection": "static",
   "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
   "mask_feature_prob": 0.0,
   "mask_time_length": 10,
+  "mask_time_min_masks": 2,
   "mask_time_min_space": 1,
   "mask_time_other": 0.0,
   "mask_time_prob": 0.05,
@@ -2497,6 +2502,7 @@
   "model_type": "wav2vec2",
   "no_mask_channel_overlap": false,
   "no_mask_time_overlap": false,
+  "num_adapter_layers": 3,
   "num_attention_heads": 12,
   "num_codevector_groups": 2,
   "num_codevectors_per_group": 320,
@@ -2505,6 +2511,7 @@
   "num_feat_extract_layers": 7,
   "num_hidden_layers": 12,
   "num_negatives": 100,
+  "output_hidden_size": 768,
   "pad_token_id": 0,
   "proj_codevector_dim": 256,
   "tdnn_dilation": [
@@ -2529,7 +2536,7 @@
     1
   ],
   "torch_dtype": "float32",
-  "transformers_version": "4.13.0.dev0",
+  "transformers_version": "4.14.0.dev0",
   "use_weighted_layer_sum": true,
   "vocab_size": 32,
   "xvector_output_dim": 512

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:690c012f7cc09e6647012445fac9b046627d08a7aef5551172be9a5f89a145e7
+oid sha256:dca2df146a2340fa99af66baee448b42560e73f2e4f10dc507eb5982987e0f7a
 size 404494903