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--- |
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license: cc-by-nc-sa-4.0 |
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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-large-robust-12-ft-emotion-msp-dim-finetuned-gtzan |
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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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# wav2vec2-large-robust-12-ft-emotion-msp-dim-finetuned-gtzan |
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This model is a fine-tuned version of [audeering/wav2vec2-large-robust-12-ft-emotion-msp-dim](https://huggingface.co/audeering/wav2vec2-large-robust-12-ft-emotion-msp-dim) on the GTZAN dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7711 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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: 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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| 2.186 | 1.0 | 112 | 2.1638 | 0.3 | |
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| 1.655 | 2.0 | 225 | 1.7677 | 0.48 | |
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| 1.5148 | 3.0 | 337 | 1.3746 | 0.54 | |
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| 1.2349 | 4.0 | 450 | 1.1218 | 0.64 | |
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| 0.9702 | 5.0 | 562 | 1.0244 | 0.69 | |
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| 0.9191 | 6.0 | 675 | 0.9180 | 0.75 | |
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| 0.6891 | 7.0 | 787 | 0.8959 | 0.76 | |
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| 0.628 | 8.0 | 900 | 0.8084 | 0.81 | |
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| 0.7337 | 9.0 | 1012 | 0.7742 | 0.83 | |
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| 0.5573 | 9.96 | 1120 | 0.7711 | 0.83 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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