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End of training
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README.md
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---
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license: apache-2.0
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base_model:
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tags:
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- generated_from_trainer
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datasets:
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metrics:
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- accuracy
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model-index:
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- name: distilhubert-finetuned-gtzan
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results:
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- task:
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name: Audio Classification
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# distilhubert-finetuned-gtzan
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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- Transformers 4.
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- Pytorch 2.3.
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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---
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license: apache-2.0
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base_model: facebook/wav2vec2-base
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tags:
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- generated_from_trainer
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datasets:
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metrics:
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- accuracy
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model-index:
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- name: HamzaSidhu786/distilhubert-finetuned-gtzan
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results:
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- task:
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name: Audio Classification
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.83
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# HamzaSidhu786/distilhubert-finetuned-gtzan
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the GTZAN dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8269
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- Accuracy: 0.83
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 20
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 2.1788 | 1.0 | 57 | 2.0907 | 0.39 |
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| 1.6561 | 2.0 | 114 | 1.5747 | 0.62 |
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| 1.3464 | 3.0 | 171 | 1.4279 | 0.57 |
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| 1.1727 | 4.0 | 228 | 1.1862 | 0.68 |
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| 0.9399 | 5.0 | 285 | 1.0572 | 0.66 |
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| 0.931 | 6.0 | 342 | 1.1268 | 0.66 |
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| 0.7375 | 7.0 | 399 | 0.8744 | 0.77 |
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| 0.5798 | 8.0 | 456 | 0.8596 | 0.78 |
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| 0.5668 | 9.0 | 513 | 0.8253 | 0.76 |
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| 0.4972 | 10.0 | 570 | 0.8273 | 0.76 |
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| 0.2375 | 11.0 | 627 | 0.8192 | 0.76 |
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| 0.1913 | 12.0 | 684 | 0.7618 | 0.83 |
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| 0.2132 | 13.0 | 741 | 0.8249 | 0.82 |
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| 0.0823 | 14.0 | 798 | 0.8962 | 0.81 |
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| 0.0444 | 15.0 | 855 | 0.9376 | 0.78 |
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| 0.0375 | 16.0 | 912 | 0.8609 | 0.81 |
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| 0.0298 | 17.0 | 969 | 0.8741 | 0.83 |
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| 0.0808 | 18.0 | 1026 | 0.8911 | 0.84 |
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| 0.0453 | 19.0 | 1083 | 0.8756 | 0.84 |
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| 0.0229 | 20.0 | 1140 | 0.8269 | 0.83 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
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runs/Aug03_20-36-27_c3c751c6bd7c/events.out.tfevents.1722717439.c3c751c6bd7c.231.0
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