End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/hubert-base-ls960
+tags:
+- generated_from_trainer
+datasets:
+- gtzan
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: hubert-model-v2
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: gtzan
+      type: gtzan
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.82
+    - name: Precision
+      type: precision
+      value: 0.8391562316626255
+    - name: Recall
+      type: recall
+      value: 0.82
+    - name: F1
+      type: f1
+      value: 0.822405644289722
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# hubert-model-v2
+
+This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the gtzan dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9612
+- Accuracy: 0.82
+- Precision: 0.8392
+- Recall: 0.82
+- F1: 0.8224
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 12
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 2.2086        | 1.0   | 200  | 2.0834          | 0.265    | 0.1987    | 0.265  | 0.1723 |
+| 1.8657        | 2.0   | 400  | 1.7149          | 0.385    | 0.3228    | 0.385  | 0.3226 |
+| 1.5242        | 3.0   | 600  | 1.4365          | 0.49     | 0.4463    | 0.49   | 0.4280 |
+| 1.2542        | 4.0   | 800  | 1.2907          | 0.57     | 0.6029    | 0.57   | 0.5477 |
+| 1.0119        | 5.0   | 1000 | 1.0524          | 0.69     | 0.7249    | 0.69   | 0.6745 |
+| 0.8835        | 6.0   | 1200 | 1.1677          | 0.69     | 0.7156    | 0.69   | 0.6718 |
+| 0.7271        | 7.0   | 1400 | 0.9158          | 0.745    | 0.7569    | 0.745  | 0.7309 |
+| 0.5453        | 8.0   | 1600 | 0.7592          | 0.82     | 0.8296    | 0.82   | 0.8185 |
+| 0.4503        | 9.0   | 1800 | 0.9936          | 0.775    | 0.8138    | 0.775  | 0.7799 |
+| 0.3625        | 10.0  | 2000 | 0.9192          | 0.815    | 0.8258    | 0.815  | 0.8146 |
+| 0.2773        | 11.0  | 2200 | 0.9768          | 0.82     | 0.8362    | 0.82   | 0.8201 |
+| 0.2309        | 12.0  | 2400 | 0.9612          | 0.82     | 0.8392    | 0.82   | 0.8224 |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

config.json

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+{
+  "_name_or_path": "facebook/hubert-base-ls960",
+  "activation_dropout": 0.1,
+  "apply_spec_augment": true,
+  "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
+  ],
+  "conv_kernel": [
+    10,
+    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_dropout": 0.0,
+  "feat_extract_norm": "group",
+  "feat_proj_dropout": 0.1,
+  "feat_proj_layer_norm": true,
+  "final_dropout": 0.1,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.1,
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "blues",
+    "1": "classical",
+    "2": "country",
+    "3": "disco",
+    "4": "hiphop",
+    "5": "jazz",
+    "6": "metal",
+    "7": "pop",
+    "8": "reggae",
+    "9": "rock"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "blues": "0",
+    "classical": "1",
+    "country": "2",
+    "disco": "3",
+    "hiphop": "4",
+    "jazz": "5",
+    "metal": "6",
+    "pop": "7",
+    "reggae": "8",
+    "rock": "9"
+  },
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.1,
+  "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": 12,
+  "pad_token_id": 0,
+  "tokenizer_class": "Wav2Vec2CTCTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.47.1",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 32
+}

model.safetensors

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preprocessor_config.json

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

runs/Jan27_21-33-37_e5c5d91f5eac/events.out.tfevents.1738013619.e5c5d91f5eac.661.0

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training_args.bin

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