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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base-960h |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: audioclass-alpha |
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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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# audioclass-alpha |
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co./facebook/wav2vec2-base-960h) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1124 |
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- Accuracy: 0.9660 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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: 50 |
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- mixed_precision_training: Native AMP |
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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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| 3.4324 | 1.0 | 62 | 3.4330 | 0.0295 | |
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| 3.4178 | 2.0 | 124 | 3.4067 | 0.0839 | |
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| 3.3067 | 3.0 | 186 | 3.2018 | 0.3107 | |
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| 3.0013 | 4.0 | 248 | 2.7640 | 0.5261 | |
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| 2.5488 | 5.0 | 310 | 2.3188 | 0.6644 | |
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| 2.1833 | 6.0 | 372 | 1.9013 | 0.7687 | |
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| 1.7949 | 7.0 | 434 | 1.5320 | 0.8141 | |
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| 1.5859 | 8.0 | 496 | 1.2519 | 0.8413 | |
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| 1.2774 | 9.0 | 558 | 1.0155 | 0.8662 | |
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| 1.1146 | 10.0 | 620 | 0.8348 | 0.8776 | |
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| 0.9276 | 11.0 | 682 | 0.7070 | 0.8844 | |
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| 0.7634 | 12.0 | 744 | 0.5845 | 0.8889 | |
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| 0.726 | 13.0 | 806 | 0.5491 | 0.8866 | |
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| 0.6325 | 14.0 | 868 | 0.4927 | 0.8707 | |
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| 0.5525 | 15.0 | 930 | 0.4065 | 0.8866 | |
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| 0.5051 | 16.0 | 992 | 0.4063 | 0.8798 | |
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| 0.4543 | 17.0 | 1054 | 0.4166 | 0.8685 | |
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| 0.4138 | 18.0 | 1116 | 0.3328 | 0.8889 | |
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| 0.4133 | 19.0 | 1178 | 0.2988 | 0.8934 | |
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| 0.4087 | 20.0 | 1240 | 0.3092 | 0.8934 | |
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| 0.3402 | 21.0 | 1302 | 0.2600 | 0.9002 | |
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| 0.3052 | 22.0 | 1364 | 0.2779 | 0.8957 | |
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| 0.2792 | 23.0 | 1426 | 0.2318 | 0.9274 | |
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| 0.3357 | 24.0 | 1488 | 0.2348 | 0.9274 | |
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| 0.2602 | 25.0 | 1550 | 0.2928 | 0.9274 | |
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| 0.2582 | 26.0 | 1612 | 0.2410 | 0.9388 | |
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| 0.1906 | 27.0 | 1674 | 0.2294 | 0.9433 | |
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| 0.1937 | 28.0 | 1736 | 0.2176 | 0.9456 | |
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| 0.3112 | 29.0 | 1798 | 0.1707 | 0.9501 | |
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| 0.1854 | 30.0 | 1860 | 0.1798 | 0.9501 | |
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| 0.2662 | 31.0 | 1922 | 0.1650 | 0.9546 | |
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| 0.1892 | 32.0 | 1984 | 0.1636 | 0.9524 | |
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| 0.1652 | 33.0 | 2046 | 0.1688 | 0.9524 | |
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| 0.2581 | 34.0 | 2108 | 0.1324 | 0.9615 | |
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| 0.2007 | 35.0 | 2170 | 0.1400 | 0.9592 | |
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| 0.1368 | 36.0 | 2232 | 0.1510 | 0.9569 | |
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| 0.1397 | 37.0 | 2294 | 0.1168 | 0.9637 | |
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| 0.1604 | 38.0 | 2356 | 0.1203 | 0.9615 | |
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| 0.1638 | 39.0 | 2418 | 0.1224 | 0.9637 | |
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| 0.1892 | 40.0 | 2480 | 0.1148 | 0.9592 | |
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| 0.1647 | 41.0 | 2542 | 0.1004 | 0.9637 | |
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| 0.1337 | 42.0 | 2604 | 0.1124 | 0.9660 | |
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| 0.102 | 43.0 | 2666 | 0.1021 | 0.9637 | |
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| 0.1293 | 44.0 | 2728 | 0.1053 | 0.9615 | |
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| 0.2035 | 45.0 | 2790 | 0.1033 | 0.9637 | |
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| 0.1222 | 46.0 | 2852 | 0.1045 | 0.9615 | |
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| 0.1393 | 47.0 | 2914 | 0.1043 | 0.9615 | |
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| 0.1271 | 48.0 | 2976 | 0.1055 | 0.9615 | |
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| 0.1618 | 49.0 | 3038 | 0.1057 | 0.9615 | |
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| 0.1536 | 50.0 | 3100 | 0.1046 | 0.9615 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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