End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/hubert-base-ls960
+tags:
+- generated_from_trainer
+datasets:
+- marsyas/gtzan
+metrics:
+- accuracy
+model-index:
+- name: hubert-base-ls960-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: 1.0
+---
+
+<!-- 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. -->
+
+# hubert-base-ls960-finetuned-gtzan-bs-8
+
+This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the GTZAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0222
+- Accuracy: 1.0
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.997         | 1.0   | 30   | 1.7902          | 0.8148   |
+| 1.4902        | 2.0   | 60   | 1.3832          | 0.4074   |
+| 1.2254        | 3.0   | 90   | 0.9829          | 1.0      |
+| 0.8641        | 4.0   | 120  | 0.5986          | 1.0      |
+| 0.4658        | 5.0   | 150  | 0.3381          | 0.9630   |
+| 0.4094        | 6.0   | 180  | 0.5581          | 0.8519   |
+| 0.2778        | 7.0   | 210  | 0.3275          | 0.9259   |
+| 0.2474        | 8.0   | 240  | 0.0614          | 1.0      |
+| 0.282         | 9.0   | 270  | 0.0402          | 1.0      |
+| 0.0942        | 10.0  | 300  | 0.2155          | 0.9630   |
+| 0.0704        | 11.0  | 330  | 0.1869          | 0.9630   |
+| 0.0952        | 12.0  | 360  | 0.2176          | 0.9630   |
+| 0.1569        | 13.0  | 390  | 0.1957          | 0.9630   |
+| 0.1165        | 14.0  | 420  | 0.0165          | 1.0      |
+| 0.0224        | 15.0  | 450  | 0.0222          | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.32.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.3
+- Tokenizers 0.13.3

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