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:
+- gtzan
+metrics:
+- accuracy
+model-index:
+- name: gtzan-ast-classifier
+  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: 0.92
+---
+
+<!-- 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. -->
+
+# gtzan-ast-classifier
+
+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: 0.2989
+- Accuracy: 0.92
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- 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
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6403        | 1.0   | 113  | 0.4655          | 0.87     |
+| 0.2874        | 2.0   | 226  | 0.6336          | 0.82     |
+| 0.1274        | 3.0   | 339  | 0.4641          | 0.87     |
+| 0.0465        | 4.0   | 452  | 0.5623          | 0.83     |
+| 0.0285        | 5.0   | 565  | 0.3886          | 0.89     |
+| 0.0042        | 6.0   | 678  | 0.2969          | 0.92     |
+| 0.0006        | 7.0   | 791  | 0.3001          | 0.92     |
+| 0.0003        | 8.0   | 904  | 0.3014          | 0.92     |
+| 0.0003        | 9.0   | 1017 | 0.3009          | 0.92     |
+| 0.0022        | 10.0  | 1130 | 0.2989          | 0.92     |
+
+
+### Framework versions
+
+- Transformers 4.57.3
+- Pytorch 2.9.0+cu126
+- Datasets 2.16.1
+- 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": "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": 10,
+  "transformers_version": "4.57.3"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8fe3b543c2afa9c8ee803ae6e9d94a2f6db178e42dcaaaf51c8d7679409ebe63
+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
+}

runs/Jan07_12-41-53_c7e9d67fe56b/events.out.tfevents.1767789723.c7e9d67fe56b.2278.0

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+size 13570

training_args.bin

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