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--- |
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license: cc-by-nc-sa-4.0 |
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base_model: audeering/wav2vec2-large-robust-6-ft-age-gender |
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tags: |
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- generated_from_trainer |
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datasets: |
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- SLIdataset |
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metrics: |
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- accuracy |
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model-index: |
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- name: wav2vec2-large-robust-6-ft-age-gender-finetuned-dataset |
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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: privateSLI |
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type: SLIdataset |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9832041343669251 |
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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-6-ft-age-gender-finetuned-dataset |
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This model is a fine-tuned version of [audeering/wav2vec2-large-robust-6-ft-age-gender](https://huggingface.co/audeering/wav2vec2-large-robust-6-ft-age-gender) on the privateSLI dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0890 |
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- Accuracy: 0.9832 |
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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: 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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| 0.4327 | 1.0 | 289 | 0.2571 | 0.9134 | |
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| 0.6169 | 2.0 | 578 | 0.1431 | 0.9638 | |
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| 0.2803 | 3.0 | 867 | 0.2276 | 0.9561 | |
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| 0.1813 | 4.0 | 1156 | 0.1077 | 0.9780 | |
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| 0.0785 | 5.0 | 1445 | 0.0764 | 0.9832 | |
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| 0.0369 | 6.0 | 1734 | 0.0835 | 0.9832 | |
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| 0.1594 | 7.0 | 2023 | 0.0756 | 0.9845 | |
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| 0.129 | 8.0 | 2312 | 0.0761 | 0.9884 | |
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| 0.1519 | 9.0 | 2601 | 0.0682 | 0.9871 | |
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| 0.1179 | 10.0 | 2890 | 0.0890 | 0.9832 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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