End of training

README.md

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+---
+library_name: transformers
+license: bsd-3-clause
+base_model: MIT/ast-finetuned-audioset-10-10-0.4593
+tags:
+- generated_from_trainer
+datasets:
+- marsyas/gtzan
+metrics:
+- accuracy
+model-index:
+- name: ast-finetuned-gtzan
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: GTZAN
+      type: marsyas/gtzan
+      config: all
+      split: None
+      args: all
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9
+---
+
+<!-- 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-gtzan
+
+This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the GTZAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3410
+- Accuracy: 0.9
+
+## 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: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 25
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.627         | 1.0   | 50   | 0.8714          | 0.795    |
+| 0.4145        | 2.0   | 100  | 0.5660          | 0.825    |
+| 0.2344        | 3.0   | 150  | 0.4988          | 0.85     |
+| 0.1334        | 4.0   | 200  | 0.3726          | 0.87     |
+| 0.0341        | 5.0   | 250  | 0.3637          | 0.895    |
+| 0.0172        | 6.0   | 300  | 0.4197          | 0.87     |
+| 0.0338        | 7.0   | 350  | 0.5035          | 0.87     |
+| 0.002         | 8.0   | 400  | 0.5825          | 0.86     |
+| 0.001         | 9.0   | 450  | 0.4126          | 0.895    |
+| 0.0093        | 10.0  | 500  | 0.4564          | 0.89     |
+| 0.0056        | 11.0  | 550  | 0.4783          | 0.84     |
+| 0.0162        | 12.0  | 600  | 0.3161          | 0.89     |
+| 0.0019        | 13.0  | 650  | 0.4062          | 0.875    |
+| 0.0005        | 14.0  | 700  | 0.3630          | 0.895    |
+| 0.0098        | 15.0  | 750  | 0.3410          | 0.9      |
+| 0.008         | 16.0  | 800  | 0.3385          | 0.89     |
+| 0.0001        | 17.0  | 850  | 0.3434          | 0.895    |
+| 0.0067        | 18.0  | 900  | 0.3414          | 0.885    |
+| 0.0064        | 19.0  | 950  | 0.3453          | 0.895    |
+| 0.0001        | 20.0  | 1000 | 0.3422          | 0.885    |
+| 0.0001        | 21.0  | 1050 | 0.3520          | 0.89     |
+| 0.0036        | 22.0  | 1100 | 0.3403          | 0.89     |
+| 0.0001        | 23.0  | 1150 | 0.3394          | 0.89     |
+| 0.0001        | 24.0  | 1200 | 0.3407          | 0.89     |
+| 0.0026        | 25.0  | 1250 | 0.3417          | 0.89     |
+
+
+### Framework versions
+
+- Transformers 4.57.3
+- Pytorch 2.9.0+cu128
+- Datasets 2.18.0
+- Tokenizers 0.22.1

config.json

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+{
+  "architectures": [
+    "ASTForAudioClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "dtype": "float32",
+  "frequency_stride": 10,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
+    "7": "LABEL_7",
+    "8": "LABEL_8",
+    "9": "LABEL_9"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5,
+    "LABEL_6": 6,
+    "LABEL_7": 7,
+    "LABEL_8": 8,
+    "LABEL_9": 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": 10,
+  "transformers_version": "4.57.3"
+}

model.safetensors

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+oid sha256:ab7d26f6316475074b0871f5ab086cf6d80cc6f3cb7d401663c2afc7ccc51b73
+size 344814656

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
+}

training_args.bin

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+size 5841