End of training

README.md

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+---
+library_name: transformers
+license: cc-by-nc-4.0
+base_model: facebook/wav2vec2-base-100k-voxpopuli
+tags:
+- generated_from_trainer
+datasets:
+- marsyas/gtzan
+metrics:
+- accuracy
+model-index:
+- name: wav2vec2-base-100k-voxpopuli-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: 0.87
+---
+
+<!-- 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-100k-voxpopuli-finetuned-gtzan
+
+This model is a fine-tuned version of [facebook/wav2vec2-base-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-base-100k-voxpopuli) on the GTZAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9034
+- Accuracy: 0.87
+
+## 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: 4
+- eval_batch_size: 4
+- 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: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.1924        | 1.0   | 225  | 2.1487          | 0.27     |
+| 1.8417        | 2.0   | 450  | 1.8767          | 0.38     |
+| 1.6017        | 3.0   | 675  | 1.5778          | 0.51     |
+| 1.3497        | 4.0   | 900  | 1.4785          | 0.4      |
+| 1.2631        | 5.0   | 1125 | 1.3103          | 0.58     |
+| 0.8172        | 6.0   | 1350 | 1.1736          | 0.63     |
+| 1.1657        | 7.0   | 1575 | 0.9690          | 0.74     |
+| 1.1711        | 8.0   | 1800 | 1.3609          | 0.63     |
+| 0.5033        | 9.0   | 2025 | 0.7300          | 0.83     |
+| 0.4104        | 10.0  | 2250 | 0.9866          | 0.72     |
+| 0.318         | 11.0  | 2475 | 0.8159          | 0.81     |
+| 0.1074        | 12.0  | 2700 | 0.8024          | 0.85     |
+| 0.093         | 13.0  | 2925 | 0.8285          | 0.85     |
+| 0.7407        | 14.0  | 3150 | 0.8591          | 0.87     |
+| 0.027         | 15.0  | 3375 | 0.9574          | 0.84     |
+| 0.4564        | 16.0  | 3600 | 0.9762          | 0.85     |
+| 0.0198        | 17.0  | 3825 | 0.9204          | 0.85     |
+| 0.5467        | 18.0  | 4050 | 0.8703          | 0.87     |
+| 0.2644        | 19.0  | 4275 | 0.8855          | 0.87     |
+| 0.013         | 20.0  | 4500 | 0.9034          | 0.87     |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

model.safetensors

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runs/Sep12_22-34-08_4607247ca971/events.out.tfevents.1726180453.4607247ca971.379.3

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