Training in progress, epoch 0

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "ntu-spml/distilhubert",
+  "activation_dropout": 0.1,
+  "apply_spec_augment": false,
+  "architectures": [
+    "HubertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "conv_bias": false,
+  "conv_dim": [
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512
+  ],
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+    3,
+    3,
+    3,
+    3,
+    2,
+    2
+  ],
+  "conv_stride": [
+    5,
+    2,
+    2,
+    2,
+    2,
+    2,
+    2
+  ],
+  "ctc_loss_reduction": "sum",
+  "ctc_zero_infinity": false,
+  "do_stable_layer_norm": false,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_norm": "group",
+  "feat_proj_dropout": 0.0,
+  "feat_proj_layer_norm": false,
+  "final_dropout": 0.0,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Instrumental",
+    "1": "Classical",
+    "10": "Experimental",
+    "11": "Folk",
+    "12": "Old-Time / Historic",
+    "13": "Jazz",
+    "14": "Blues",
+    "15": "Country",
+    "16": "Soul-RnB",
+    "17": "Spoken",
+    "18": "Easy Listening",
+    "2": "Punk",
+    "3": "Pop",
+    "4": "Rock",
+    "5": "Ambient Electronic",
+    "6": "Chiptune / Glitch",
+    "7": "International",
+    "8": "Hip-Hop",
+    "9": "Electronic"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Ambient Electronic": "5",
+    "Blues": "14",
+    "Chiptune / Glitch": "6",
+    "Classical": "1",
+    "Country": "15",
+    "Easy Listening": "18",
+    "Electronic": "9",
+    "Experimental": "10",
+    "Folk": "11",
+    "Hip-Hop": "8",
+    "Instrumental": "0",
+    "International": "7",
+    "Jazz": "13",
+    "Old-Time / Historic": "12",
+    "Pop": "3",
+    "Punk": "2",
+    "Rock": "4",
+    "Soul-RnB": "16",
+    "Spoken": "17"
+  },
+  "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": "hubert",
+  "num_attention_heads": 12,
+  "num_conv_pos_embedding_groups": 16,
+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 2,
+  "pad_token_id": 0,
+  "torch_dtype": "float32",
+  "transformers_version": "4.23.1",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 32
+}

preprocessor_config.json

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+{
+  "do_normalize": false,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0,
+  "return_attention_mask": false,
+  "sampling_rate": 16000
+}

pytorch_model.bin

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training_args.bin

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