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
+  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: 0.84
+---
+
+<!-- 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
+
+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: 0.6933
+- Accuracy: 0.84
+
+## 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: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 12
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.1735        | 0.99  | 56   | 2.1378          | 0.24     |
+| 1.7104        | 2.0   | 113  | 1.7187          | 0.52     |
+| 1.3864        | 2.99  | 169  | 1.5629          | 0.53     |
+| 1.1797        | 4.0   | 226  | 1.4349          | 0.62     |
+| 1.0675        | 4.99  | 282  | 1.0705          | 0.74     |
+| 0.9568        | 6.0   | 339  | 1.0412          | 0.74     |
+| 0.7465        | 6.99  | 395  | 0.8219          | 0.84     |
+| 0.6917        | 8.0   | 452  | 0.8743          | 0.78     |
+| 0.4634        | 8.99  | 508  | 0.8266          | 0.81     |
+| 0.4757        | 10.0  | 565  | 0.7233          | 0.86     |
+| 0.4341        | 10.99 | 621  | 0.8024          | 0.81     |
+| 0.3802        | 11.89 | 672  | 0.6933          | 0.84     |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.0
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

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