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distil-wav2vec2-adult-child-id-cls-52m

Audio Classification
Transformers
PyTorch
TensorBoard
Safetensors
Indonesian
wav2vec2
Generated from Trainer
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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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-
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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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  ---
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+ language: id
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  license: apache-2.0
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  tags:
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+ - audio-classification
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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-52m
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+ results: []
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  ---
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+ # DistilWav2Vec2 Adult/Child Indonesian Speech Classifier 52M
 
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+ DistilWav2Vec2 Adult/Child Indonesian Speech Classifier is an audio classification model based on the [wav2vec 2.0](https://arxiv.org/abs/2006.11477) architecture. This model is a distilled version of [wav2vec2-adult-child-id-cls](https://huggingface.co/bookbot/wav2vec2-adult-child-id-cls) on a private adult/child Indonesian speech classification dataset.
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+ This model was trained using HuggingFace's PyTorch framework. All training was done on a Tesla P100, provided by Kaggle. Training metrics were logged via Tensorboard.
 
 
 
 
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+ ## Model
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+ | Model | #params | Arch. | Training/Validation data (text) |
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+ | ---------------------------------------- | ------- | ----------- | ---------------------------------------------------- |
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+ | `distil-wav2vec2-adult-child-id-cls-52m` | 52m | wav2vec 2.0 | Adult/Child Indonesian Speech Classification Dataset |
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+ ## Evaluation Results
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+ The model achieves the following results on evaluation:
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+ | Dataset | Loss | Accuracy | F1 |
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+ | -------------------------------------------- | ------ | -------- | ------ |
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+ | Adult/Child Indonesian Speech Classification | 0.1560 | 94.89% | 0.9480 |
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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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+
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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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+
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+ ## Disclaimer
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+
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+ Do consider the biases which came from pre-training datasets that may be carried over into the results of this model.
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+
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+ ## Authors
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+ DistilWav2Vec2 Adult/Child Indonesian Speech Classifier was trained and evaluated by [Ananto Joyoadikusumo](https://anantoj.github.io/). All computation and development are done on Kaggle.
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  ### Framework versions
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+ - Transformers 4.16.2
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+ - Pytorch 1.10.2+cu102
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+ - Datasets 1.18.3
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+ - Tokenizers 0.10.3