Training in progress, step 1000

config.json

@@ -1,6 +1,7 @@
 {
-  "_name_or_path": "facebook/wav2vec2-xls-r-300m",
+  "_name_or_path": "facebook/wav2vec2-large-xlsr-53",
   "activation_dropout": 0.0,
+  "adapter_attn_dim": null,
   "adapter_kernel_size": 3,
   "adapter_stride": 2,
   "add_adapter": false,
@@ -60,12 +61,20 @@
   "intermediate_size": 4096,
   "layer_norm_eps": 1e-05,
   "layerdrop": 0.1,
+  "mask_channel_length": 10,
+  "mask_channel_min_space": 1,
+  "mask_channel_other": 0.0,
+  "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": 0.075,
+  "mask_time_selection": "static",
   "model_type": "wav2vec2",
   "num_adapter_layers": 3,
   "num_attention_heads": 16,
@@ -77,7 +86,7 @@
   "num_hidden_layers": 24,
   "num_negatives": 100,
   "output_hidden_size": 1024,
-  "pad_token_id": 44,
+  "pad_token_id": 45,
   "proj_codevector_dim": 768,
   "tdnn_dilation": [
     1,
@@ -101,8 +110,8 @@
     1
   ],
   "torch_dtype": "float32",
-  "transformers_version": "4.21.0",
+  "transformers_version": "4.31.0",
   "use_weighted_layer_sum": false,
-  "vocab_size": 45,
+  "vocab_size": 48,
   "xvector_output_dim": 512
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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runs/Jul29_13-26-00_86dc0f5d0624/events.out.tfevents.1690637660.86dc0f5d0624.9740.0

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training_args.bin

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