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--- |
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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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base_model: Rajaram1996/Hubert_emotion |
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model-index: |
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- name: Hubert_emotion-finetuned-gtzan-efficient |
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results: [] |
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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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# Hubert_emotion-finetuned-gtzan-efficient |
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This model is a fine-tuned version of [Rajaram1996/Hubert_emotion](https://huggingface.co/Rajaram1996/Hubert_emotion) on the GTZAN dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2341 |
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- Accuracy: 0.65 |
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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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- 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: 100 |
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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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| 2.2127 | 1.0 | 113 | 2.2191 | 0.25 | |
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| 1.9102 | 2.0 | 226 | 2.0018 | 0.37 | |
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| 1.7139 | 3.0 | 339 | 1.7588 | 0.4 | |
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| 1.5825 | 4.0 | 452 | 1.5608 | 0.41 | |
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| 1.1426 | 5.0 | 565 | 1.4300 | 0.5 | |
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| 1.8976 | 6.0 | 678 | 1.1726 | 0.56 | |
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| 0.9303 | 7.0 | 791 | 1.1559 | 0.56 | |
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| 0.8845 | 8.0 | 904 | 1.1501 | 0.65 | |
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| 0.2069 | 9.0 | 1017 | 1.2055 | 0.58 | |
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| 1.9863 | 10.0 | 1130 | 1.0804 | 0.62 | |
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| 2.0317 | 11.0 | 1243 | 1.2341 | 0.65 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.1.0.dev20230627+cu121 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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