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--- |
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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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- audiofolder |
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metrics: |
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- accuracy |
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model-index: |
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- name: my_forgetful_mind_model2 |
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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: audiofolder |
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type: audiofolder |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9891304347826086 |
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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_forgetful_mind_model2 |
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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: 0.0529 |
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- Accuracy: 0.9891 |
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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: 11 |
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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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| 0.6716 | 0.9655 | 14 | 0.6144 | 0.6630 | |
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| 0.5768 | 2.0 | 29 | 0.2991 | 0.9304 | |
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| 0.2108 | 2.9655 | 43 | 0.2372 | 0.9130 | |
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| 0.2452 | 4.0 | 58 | 0.1582 | 0.9565 | |
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| 0.1006 | 4.9655 | 72 | 0.0831 | 0.9848 | |
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| 0.0773 | 6.0 | 87 | 0.1206 | 0.9696 | |
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| 0.0477 | 6.9655 | 101 | 0.0585 | 0.9913 | |
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| 0.0431 | 8.0 | 116 | 0.0643 | 0.9870 | |
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| 0.0303 | 8.9655 | 130 | 0.0526 | 0.9891 | |
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| 0.0336 | 10.0 | 145 | 0.0523 | 0.9891 | |
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| 0.0285 | 10.6207 | 154 | 0.0529 | 0.9891 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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