End of training

README.md

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+---
+base_model: ast-finetuned-audioset-16-16-0.442
+tags:
+- generated_from_trainer
+datasets:
+- marsyas/gtzan
+metrics:
+- accuracy
+model-index:
+- name: ast-finetuned-audioset-16-16-0.442-finetuned-gtzan
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: GTZAN
+      type: marsyas/gtzan
+      config: all
+      split: train
+      args: all
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.93
+---
+
+<!-- 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. -->
+
+# ast-finetuned-audioset-16-16-0.442-finetuned-gtzan
+
+This model is a fine-tuned version of [ast-finetuned-audioset-16-16-0.442](https://huggingface.co/ast-finetuned-audioset-16-16-0.442) on the GTZAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3315
+- Accuracy: 0.93
+
+## 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: 20
+- eval_batch_size: 20
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.8802        | 1.0   | 45   | 0.5267          | 0.85     |
+| 0.3183        | 2.0   | 90   | 0.5893          | 0.81     |
+| 0.1094        | 3.0   | 135  | 0.4421          | 0.89     |
+| 0.0259        | 4.0   | 180  | 0.4100          | 0.88     |
+| 0.0291        | 5.0   | 225  | 0.3695          | 0.9      |
+| 0.0409        | 6.0   | 270  | 0.3071          | 0.91     |
+| 0.0152        | 7.0   | 315  | 0.3482          | 0.92     |
+| 0.0003        | 8.0   | 360  | 0.3187          | 0.94     |
+| 0.0003        | 9.0   | 405  | 0.3258          | 0.93     |
+| 0.0004        | 10.0  | 450  | 0.3315          | 0.93     |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.2+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "MIT/ast-finetuned-audioset-16-16-0.442",
+  "architectures": [
+    "ASTForAudioClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "frequency_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "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-12,
+  "max_length": 1024,
+  "model_type": "audio-spectrogram-transformer",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "num_mel_bins": 128,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "time_stride": 16,
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.1"
+}

model.safetensors

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+oid sha256:04f699a801b76b61d416954efde42d7427197d506bedc73f77d3415948151a2e
+size 342664248

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "feature_extractor_type": "ASTFeatureExtractor",
+  "feature_size": 1,
+  "max_length": 1024,
+  "mean": -4.2677393,
+  "num_mel_bins": 128,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "return_attention_mask": false,
+  "sampling_rate": 16000,
+  "std": 4.5689974
+}

runs/Apr24_20-07-23_LAPTOP-IV5HBHI1/events.out.tfevents.1713982047.LAPTOP-IV5HBHI1.55916.0

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+size 27626

training_args.bin

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