Training in progress, step 800

config.json

@@ -1,9 +1,6 @@
 {
   "_name_or_path": "facebook/wav2vec2-xls-r-300m",
   "activation_dropout": 0.0,
-  "adapter_kernel_size": 3,
-  "adapter_stride": 2,
-  "add_adapter": false,
   "apply_spec_augment": true,
   "architectures": [
     "Wav2Vec2ForCTC"
@@ -61,13 +58,10 @@
   "layer_norm_eps": 1e-05,
   "layerdrop": 0.0,
   "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_prob": 0.05,
   "model_type": "wav2vec2",
-  "num_adapter_layers": 3,
   "num_attention_heads": 16,
   "num_codevector_groups": 2,
   "num_codevectors_per_group": 320,
@@ -76,33 +70,10 @@
   "num_feat_extract_layers": 7,
   "num_hidden_layers": 24,
   "num_negatives": 100,
-  "output_hidden_size": 1024,
   "pad_token_id": 4,
   "proj_codevector_dim": 768,
-  "tdnn_dilation": [
-    1,
-    2,
-    3,
-    1,
-    1
-  ],
-  "tdnn_dim": [
-    512,
-    512,
-    512,
-    512,
-    1500
-  ],
-  "tdnn_kernel": [
-    5,
-    3,
-    3,
-    1,
-    1
-  ],
   "torch_dtype": "float32",
-  "transformers_version": "4.16.2",
+  "transformers_version": "4.11.3",
   "use_weighted_layer_sum": false,
-  "vocab_size": 7,
-  "xvector_output_dim": 512
+  "vocab_size": 7
 }

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