End of training

README.md

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+---
+license: bsd-3-clause
+base_model: MIT/ast-finetuned-audioset-10-10-0.4593
+tags:
+- generated_from_trainer
+datasets:
+- marsyas/gtzan
+metrics:
+- accuracy
+- f1
+model-index:
+- name: ast-finetuned-audioset-10-10-0.4593-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: 0.86
+    - name: F1
+      type: f1
+      value: 0.8599999999999999
+---
+
+<!-- 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-10-10-0.4593-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: 0.7149
+- Accuracy: 0.86
+- F1: 0.8600
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 2024
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
+| 0.6891        | 0.9956  | 112  | 0.6422          | 0.76     | 0.76   |
+| 0.7267        | 2.0     | 225  | 0.8163          | 0.78     | 0.78   |
+| 0.7077        | 2.9956  | 337  | 0.7802          | 0.8      | 0.8000 |
+| 0.1884        | 4.0     | 450  | 0.6157          | 0.87     | 0.87   |
+| 0.0209        | 4.9956  | 562  | 0.7885          | 0.84     | 0.8400 |
+| 0.117         | 6.0     | 675  | 0.6744          | 0.85     | 0.85   |
+| 0.0098        | 6.9956  | 787  | 0.6213          | 0.85     | 0.85   |
+| 0.0002        | 8.0     | 900  | 1.0599          | 0.82     | 0.82   |
+| 0.0001        | 8.9956  | 1012 | 0.7052          | 0.86     | 0.8600 |
+| 0.0001        | 10.0    | 1125 | 0.6891          | 0.85     | 0.85   |
+| 0.0001        | 10.9956 | 1237 | 0.6718          | 0.86     | 0.8600 |
+| 0.0001        | 12.0    | 1350 | 0.6712          | 0.85     | 0.85   |
+| 0.0001        | 12.9956 | 1462 | 0.6942          | 0.86     | 0.8600 |
+| 0.0001        | 14.0    | 1575 | 0.7002          | 0.86     | 0.8600 |
+| 0.0176        | 14.9956 | 1687 | 0.7053          | 0.86     | 0.8600 |
+| 0.0001        | 16.0    | 1800 | 0.7140          | 0.86     | 0.8600 |
+| 0.0001        | 16.9956 | 1912 | 0.7089          | 0.86     | 0.8600 |
+| 0.0           | 18.0    | 2025 | 0.7120          | 0.86     | 0.8600 |
+| 0.0628        | 18.9956 | 2137 | 0.7162          | 0.86     | 0.8600 |
+| 0.0037        | 19.9111 | 2240 | 0.7149          | 0.86     | 0.8600 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "MIT/ast-finetuned-audioset-10-10-0.4593",
+  "architectures": [
+    "ASTForAudioClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "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,
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.4"
+}

model.safetensors

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+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/Aug22_08-42-23_40940210ff38/events.out.tfevents.1724316432.40940210ff38.234.1

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runs/Aug22_08-52-13_40940210ff38/events.out.tfevents.1724316745.40940210ff38.234.2

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training_args.bin

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