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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- audiofolder |
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metrics: |
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- accuracy |
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model-index: |
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- name: my_awesome_mind_model |
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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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# my_awesome_mind_model |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6753 |
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- Accuracy: 0.5818 |
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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: 3e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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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| 0.678 | 0.99 | 39 | 0.6803 | 0.5730 | |
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| 0.6698 | 1.99 | 78 | 0.6785 | 0.5810 | |
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| 0.6622 | 2.99 | 117 | 0.6848 | 0.5746 | |
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| 0.6636 | 3.99 | 156 | 0.6748 | 0.5866 | |
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| 0.6464 | 4.99 | 195 | 0.6844 | 0.5650 | |
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| 0.6508 | 5.99 | 234 | 0.6758 | 0.5738 | |
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| 0.6385 | 6.99 | 273 | 0.6728 | 0.5738 | |
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| 0.6317 | 7.99 | 312 | 0.6737 | 0.5690 | |
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| 0.6279 | 8.99 | 351 | 0.6784 | 0.5722 | |
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| 0.6273 | 9.99 | 390 | 0.6753 | 0.5818 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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