End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: bookbot/distil-ast-audioset
+tags:
+- generated_from_trainer
+datasets:
+- marsyas/gtzan
+metrics:
+- accuracy
+model-index:
+- name: distil-ast-audioset-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: 0.88
+---
+
+<!-- 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. -->
+
+# distil-ast-audioset-finetuned-gtzan
+
+This model is a fine-tuned version of [bookbot/distil-ast-audioset](https://huggingface.co/bookbot/distil-ast-audioset) on the GTZAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3707
+- Accuracy: 0.88
+
+## 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: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.7768        | 0.9912 | 28   | 0.4780          | 0.85     |
+| 0.4124        | 1.9823 | 56   | 0.4763          | 0.87     |
+| 0.2095        | 2.9735 | 84   | 0.4231          | 0.89     |
+| 0.0874        | 4.0    | 113  | 0.4250          | 0.87     |
+| 0.0406        | 4.9912 | 141  | 0.4068          | 0.87     |
+| 0.0205        | 5.9823 | 169  | 0.3918          | 0.88     |
+| 0.0082        | 6.9735 | 197  | 0.3604          | 0.89     |
+| 0.0082        | 8.0    | 226  | 0.3804          | 0.89     |
+| 0.0059        | 8.9912 | 254  | 0.3821          | 0.87     |
+| 0.004         | 9.9115 | 280  | 0.3707          | 0.88     |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1
+- Datasets 3.0.0
+- Tokenizers 0.19.1

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