End of training

README.md

@@ -0,0 +1,102 @@
+---
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+datasets:
+- marsyas/gtzan
+metrics:
+- accuracy
+model-index:
+- name: wav2vec2-base-finetuned-gtzan2
+  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: 0.88
+---
+
+<!-- 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-gtzan2
+
+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: 0.6890
+- 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: 7e-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: 25
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 2.2597        | 0.9912  | 56   | 2.0173          | 0.49     |
+| 1.8041        | 2.0     | 113  | 1.5455          | 0.6      |
+| 1.3996        | 2.9912  | 169  | 1.6014          | 0.5      |
+| 1.2821        | 4.0     | 226  | 1.4333          | 0.53     |
+| 1.0763        | 4.9912  | 282  | 1.0503          | 0.65     |
+| 0.9496        | 6.0     | 339  | 1.1490          | 0.64     |
+| 0.8102        | 6.9912  | 395  | 1.0606          | 0.7      |
+| 0.5868        | 8.0     | 452  | 0.9500          | 0.72     |
+| 0.3912        | 8.9912  | 508  | 0.5193          | 0.87     |
+| 0.3939        | 10.0    | 565  | 0.8336          | 0.77     |
+| 0.3945        | 10.9912 | 621  | 0.8204          | 0.78     |
+| 0.395         | 12.0    | 678  | 0.5713          | 0.86     |
+| 0.2702        | 12.9912 | 734  | 0.7380          | 0.82     |
+| 0.2035        | 14.0    | 791  | 0.7632          | 0.82     |
+| 0.2397        | 14.9912 | 847  | 0.6820          | 0.84     |
+| 0.0944        | 16.0    | 904  | 0.9130          | 0.84     |
+| 0.116         | 16.9912 | 960  | 0.4568          | 0.91     |
+| 0.0989        | 18.0    | 1017 | 0.7468          | 0.87     |
+| 0.1069        | 18.9912 | 1073 | 0.7100          | 0.86     |
+| 0.0419        | 20.0    | 1130 | 0.7169          | 0.86     |
+| 0.0344        | 20.9912 | 1186 | 0.7216          | 0.87     |
+| 0.0612        | 22.0    | 1243 | 0.6798          | 0.89     |
+| 0.0473        | 22.9912 | 1299 | 0.6920          | 0.88     |
+| 0.0248        | 24.0    | 1356 | 0.6526          | 0.89     |
+| 0.0157        | 24.7788 | 1400 | 0.6890          | 0.88     |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.8.0+cu128
+- Datasets 3.6.0
+- Tokenizers 0.19.1

model.safetensors

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+oid sha256:023385b9abc404c844329910f79ce3b51e7a4aebefdfb105cfcad86c4f9c24d2
 size 378310592