aiden-walnut
commited on
End of training
Browse files
README.md
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---
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library_name: transformers
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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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- marsyas/gtzan
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metrics:
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- accuracy
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model-index:
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- name: wav2vec2-base-finetuned-gtzan
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results:
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- task:
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name: Audio Classification
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type: audio-classification
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dataset:
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name: GTZAN
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type: marsyas/gtzan
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config: all
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split: train
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args: all
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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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# wav2vec2-base-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: 0.6771
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- Accuracy: 0.83
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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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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| 4.0763 | 1.0 | 57 | 1.9012 | 0.54 |
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| 3.2763 | 2.0 | 114 | 1.4578 | 0.69 |
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| 2.5297 | 3.0 | 171 | 1.4215 | 0.56 |
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| 1.9816 | 4.0 | 228 | 1.0966 | 0.66 |
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| 1.7171 | 5.0 | 285 | 0.8921 | 0.76 |
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| 1.4619 | 6.0 | 342 | 0.7647 | 0.82 |
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| 1.3116 | 7.0 | 399 | 0.6880 | 0.85 |
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| 1.1145 | 8.0 | 456 | 0.7591 | 0.77 |
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| 0.7336 | 9.0 | 513 | 0.6362 | 0.85 |
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| 0.6123 | 9.8319 | 560 | 0.6771 | 0.83 |
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### Framework versions
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- Transformers 4.47.1
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- Pytorch 2.5.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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model.safetensors
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runs/Jan05_13-09-35_159ebd7dc6b5/events.out.tfevents.1736082589.159ebd7dc6b5.1388.0
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