Training in progress, step 100

config.json

@@ -9,7 +9,7 @@
   "architectures": [
     "Wav2Vec2ForSequenceClassification"
   ],
-  "attention_dropout": 0.0,
+  "attention_dropout": 0.05,
   "bos_token_id": 1,
   "classifier_proj_size": 256,
   "codevector_dim": 1024,
@@ -50,16 +50,24 @@
   "feat_extract_activation": "gelu",
   "feat_extract_dropout": 0.0,
   "feat_extract_norm": "layer",
-  "feat_proj_dropout": 0.0,
+  "feat_proj_dropout": 0.05,
   "feat_quantizer_dropout": 0.0,
   "final_dropout": 0.05,
   "hidden_act": "gelu",
-  "hidden_dropout": 0.0,
+  "hidden_dropout": 0.05,
   "hidden_size": 1280,
+  "id2label": {
+    "0": "TIC",
+    "1": "ENG"
+  },
   "initializer_range": 0.02,
   "intermediate_size": 5120,
+  "label2id": {
+    "ENG": 1,
+    "TIC": 0
+  },
   "layer_norm_eps": 1e-05,
-  "layerdrop": 0.0,
+  "layerdrop": 0.05,
   "mask_feature_length": 10,
   "mask_feature_min_masks": 0,
   "mask_feature_prob": 0.0,
@@ -77,7 +85,7 @@
   "num_hidden_layers": 48,
   "num_negatives": 100,
   "output_hidden_size": 1280,
-  "pad_token_id": 2,
+  "pad_token_id": 0,
   "proj_codevector_dim": 1024,
   "tdnn_dilation": [
     1,
@@ -103,6 +111,6 @@
   "torch_dtype": "float32",
   "transformers_version": "4.32.1",
   "use_weighted_layer_sum": false,
-  "vocab_size": 4,
+  "vocab_size": 154,
   "xvector_output_dim": 512
 }

preprocessor_config.json

@@ -3,7 +3,8 @@
   "feature_extractor_type": "Wav2Vec2FeatureExtractor",
   "feature_size": 1,
   "padding_side": "right",
-  "padding_value": 0.0,
+  "padding_value": 0,
+  "processor_class": "Wav2Vec2Processor",
   "return_attention_mask": true,
   "sampling_rate": 16000
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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training_args.bin

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