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
+metrics:
+- accuracy
+model-index:
+- name: Musical-genres-Classification-Hubert-V1-finetuned-gtzan_5sec
+  results: []
+---
+
+<!-- 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. -->
+
+# Musical-genres-Classification-Hubert-V1-finetuned-gtzan_5sec
+
+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 None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6950
+- Accuracy: 0.8866
+
+## 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: 8
+- eval_batch_size: 8
+- 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6859        | 1.0   | 525  | 0.6151          | 0.7998   |
+| 0.4314        | 2.0   | 1050 | 0.6598          | 0.7957   |
+| 0.2708        | 3.0   | 1575 | 0.5466          | 0.8499   |
+| 0.3121        | 4.0   | 2100 | 0.6376          | 0.8532   |
+| 0.0027        | 5.0   | 2625 | 0.7428          | 0.8590   |
+| 0.0036        | 6.0   | 3150 | 0.7249          | 0.8716   |
+| 0.0007        | 7.0   | 3675 | 0.7227          | 0.8791   |
+| 0.0001        | 8.0   | 4200 | 0.6902          | 0.8857   |
+| 0.0001        | 9.0   | 4725 | 0.6917          | 0.8891   |
+| 0.0001        | 10.0  | 5250 | 0.6950          | 0.8866   |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

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