End of training

README.md

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+---
+license: apache-2.0
+base_model: dima806/music_genres_classification
+tags:
+- generated_from_trainer
+datasets:
+- marsyas/gtzan
+metrics:
+- accuracy
+model-index:
+- name: music_genres_classification-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: 0.88
+---
+
+<!-- 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. -->
+
+# music_genres_classification-finetuned-gtzan
+
+This model is a fine-tuned version of [dima806/music_genres_classification](https://huggingface.co/dima806/music_genres_classification) on the GTZAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5964
+- 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: 5
+- eval_batch_size: 5
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.12
+- num_epochs: 12
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.8263        | 1.0   | 180  | 1.8672          | 0.53     |
+| 1.5124        | 2.0   | 360  | 1.7102          | 0.45     |
+| 1.0715        | 3.0   | 540  | 1.1957          | 0.69     |
+| 1.0454        | 4.0   | 720  | 1.5712          | 0.68     |
+| 0.3365        | 5.0   | 900  | 0.9891          | 0.81     |
+| 0.3502        | 6.0   | 1080 | 1.2261          | 0.74     |
+| 1.2326        | 7.0   | 1260 | 1.1571          | 0.77     |
+| 0.5868        | 8.0   | 1440 | 0.7691          | 0.87     |
+| 0.2718        | 9.0   | 1620 | 0.6720          | 0.88     |
+| 0.1625        | 10.0  | 1800 | 0.3927          | 0.93     |
+| 0.2519        | 11.0  | 1980 | 0.5140          | 0.91     |
+| 0.0701        | 12.0  | 2160 | 0.5964          | 0.88     |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.2.1
+- Datasets 2.17.1
+- Tokenizers 0.15.2

model.safetensors

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