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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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metrics:
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- accuracy
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- f1
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model-index:
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- name: distil-wav2vec2-adult-child-id-cls-v3
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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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# distil-wav2vec2-adult-child-id-cls-v3
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This model is a fine-tuned version of [anantoj/wav2vec2-adult-child-id-cls-v2](https://huggingface.co/anantoj/wav2vec2-adult-child-id-cls-v2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1560
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- Accuracy: 0.9489
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- F1: 0.9480
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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: 7
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.2494 | 1.0 | 76 | 0.1706 | 0.9454 | 0.9421 |
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| 0.2015 | 2.0 | 152 | 0.1519 | 0.9483 | 0.9464 |
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| 0.1674 | 3.0 | 228 | 0.1560 | 0.9489 | 0.9480 |
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| 0.1596 | 4.0 | 304 | 0.1760 | 0.9449 | 0.9414 |
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| 0.0873 | 5.0 | 380 | 0.1825 | 0.9478 | 0.9452 |
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| 0.0996 | 6.0 | 456 | 0.1733 | 0.9478 | 0.9460 |
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| 0.1055 | 7.0 | 532 | 0.1749 | 0.9454 | 0.9433 |
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### Framework versions
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- Transformers 4.19.0.dev0
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- Pytorch 1.11.0+cu102
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- Datasets 2.2.1
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- Tokenizers 0.12.1
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