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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distil-wav2vec2-adult-child-id-cls-v3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distil-wav2vec2-adult-child-id-cls-v3
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.
It achieves the following results on the evaluation set:
- Loss: 0.1560
- Accuracy: 0.9489
- F1: 0.9480
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 7
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.2494 | 1.0 | 76 | 0.1706 | 0.9454 | 0.9421 |
| 0.2015 | 2.0 | 152 | 0.1519 | 0.9483 | 0.9464 |
| 0.1674 | 3.0 | 228 | 0.1560 | 0.9489 | 0.9480 |
| 0.1596 | 4.0 | 304 | 0.1760 | 0.9449 | 0.9414 |
| 0.0873 | 5.0 | 380 | 0.1825 | 0.9478 | 0.9452 |
| 0.0996 | 6.0 | 456 | 0.1733 | 0.9478 | 0.9460 |
| 0.1055 | 7.0 | 532 | 0.1749 | 0.9454 | 0.9433 |
### Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.11.0+cu102
- Datasets 2.2.1
- Tokenizers 0.12.1
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