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-8
+  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-8
+
+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: 0.6312
+- 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: 8
+- eval_batch_size: 8
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.0125        | 1.0   | 113  | 1.8959          | 0.41     |
+| 1.534         | 2.0   | 226  | 1.5343          | 0.53     |
+| 1.1174        | 3.0   | 339  | 1.5299          | 0.51     |
+| 1.0413        | 4.0   | 452  | 1.0910          | 0.68     |
+| 0.5856        | 5.0   | 565  | 0.9129          | 0.7      |
+| 0.4625        | 6.0   | 678  | 0.9821          | 0.75     |
+| 0.6228        | 7.0   | 791  | 0.7124          | 0.79     |
+| 0.2862        | 8.0   | 904  | 0.6634          | 0.81     |
+| 0.273         | 9.0   | 1017 | 0.5889          | 0.86     |
+| 0.1331        | 10.0  | 1130 | 0.6628          | 0.85     |
+| 0.1616        | 11.0  | 1243 | 0.6544          | 0.86     |
+| 0.0218        | 12.0  | 1356 | 0.6405          | 0.87     |
+| 0.1485        | 13.0  | 1469 | 0.7176          | 0.85     |
+| 0.1493        | 14.0  | 1582 | 0.6074          | 0.89     |
+| 0.0163        | 15.0  | 1695 | 0.6312          | 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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