End of training
Browse files- README.md +87 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: ntu-spml/distilhubert
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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-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: 0.81
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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-finetuned-gtzan
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This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8119
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- Accuracy: 0.81
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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: 4
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- total_train_batch_size: 32
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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: 0.01
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- num_epochs: 10
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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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| 2.0253 | 0.99 | 28 | 1.8206 | 0.38 |
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| 1.3127 | 1.98 | 56 | 1.1930 | 0.64 |
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| 0.9726 | 2.97 | 84 | 0.9269 | 0.69 |
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| 1.2272 | 4.0 | 113 | 1.1682 | 0.66 |
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| 0.6441 | 4.99 | 141 | 0.9781 | 0.71 |
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| 0.5447 | 5.98 | 169 | 0.8603 | 0.74 |
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| 0.3067 | 6.97 | 197 | 0.6313 | 0.86 |
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| 0.1481 | 8.0 | 226 | 0.5746 | 0.89 |
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| 0.0599 | 8.99 | 254 | 0.7602 | 0.84 |
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| 0.0306 | 9.91 | 280 | 0.8119 | 0.81 |
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### Framework versions
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- Transformers 4.32.0.dev0
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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pytorch_model.bin
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 94783376
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version https://git-lfs.github.com/spec/v1
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oid sha256:729e6e566f16f400c1696c8d6a750d2ca0d4fbbe2d10c2f70034e21e13be8fb5
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size 94783376
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