End of training

README.md

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+---
+license: apache-2.0
+base_model: SeyedAli/Musical-genres-Classification-Hubert-V1
+tags:
+- generated_from_trainer
+datasets:
+- audiofolder
+metrics:
+- accuracy
+model-index:
+- name: model2024-05-20
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: audiofolder
+      type: audiofolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9887592199656462
+---
+
+<!-- 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. -->
+
+# model2024-05-20
+
+This model is a fine-tuned version of [SeyedAli/Musical-genres-Classification-Hubert-V1](https://huggingface.co/SeyedAli/Musical-genres-Classification-Hubert-V1) on the audiofolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0353
+- Accuracy: 0.9888
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1672        | 1.0   | 309  | 0.1493          | 0.9574   |
+| 0.1182        | 2.0   | 619  | 0.0881          | 0.9720   |
+| 0.083         | 3.0   | 928  | 0.0478          | 0.9839   |
+| 0.0624        | 4.0   | 1238 | 0.0415          | 0.9864   |
+| 0.0514        | 4.99  | 1545 | 0.0353          | 0.9888   |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.2