End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+datasets:
+- marsyas/gtzan
+metrics:
+- accuracy
+model-index:
+- name: wav2vec2-base-finetuned-gtzan-bs-16
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: GTZAN
+      type: marsyas/gtzan
+      config: default
+      split: train
+      args: default
+    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. -->
+
+# wav2vec2-base-finetuned-gtzan-bs-16
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the GTZAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5497
+- 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- 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: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.0557        | 1.0   | 57   | 1.9783          | 0.34     |
+| 1.6173        | 2.0   | 114  | 1.6407          | 0.55     |
+| 1.3884        | 3.0   | 171  | 1.2228          | 0.65     |
+| 1.1082        | 4.0   | 228  | 1.0989          | 0.7      |
+| 0.9112        | 5.0   | 285  | 0.8724          | 0.8      |
+| 0.7985        | 6.0   | 342  | 0.8715          | 0.76     |
+| 0.5456        | 7.0   | 399  | 0.6832          | 0.82     |
+| 0.4842        | 8.0   | 456  | 0.6566          | 0.85     |
+| 0.3419        | 9.0   | 513  | 0.6485          | 0.84     |
+| 0.5821        | 10.0  | 570  | 0.5636          | 0.85     |
+| 0.2112        | 11.0  | 627  | 0.4572          | 0.89     |
+| 0.2005        | 12.0  | 684  | 0.5405          | 0.87     |
+| 0.1314        | 13.0  | 741  | 0.4695          | 0.9      |
+| 0.0866        | 14.0  | 798  | 0.5545          | 0.88     |
+| 0.0594        | 15.0  | 855  | 0.5497          | 0.88     |
+
+
+### Framework versions
+
+- Transformers 4.32.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.3
+- Tokenizers 0.13.3

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