---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: wav2vec2-base-ft-children-with-sli
  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. -->

# wav2vec2-base-ft-children-with-sli

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the ChildrenSLIDataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1079
- Accuracy: 0.9722
- F1: 0.9712
- Precision: 0.9670
- Recall: 0.9771

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.6402        | 1.0   | 32   | 0.6563          | 0.6071   | 0.3778 | 0.3036    | 0.5    |
| 0.446         | 2.0   | 64   | 0.6949          | 0.5357   | 0.5048 | 0.7292    | 0.6176 |
| 0.3454        | 3.0   | 96   | 0.2953          | 0.8690   | 0.8677 | 0.8708    | 0.8886 |
| 0.0703        | 4.0   | 128  | 0.1439          | 0.9563   | 0.9548 | 0.9507    | 0.9605 |
| 0.0458        | 5.0   | 160  | 0.0759          | 0.9841   | 0.9834 | 0.9834    | 0.9834 |
| 0.0844        | 6.0   | 192  | 1.0983          | 0.7421   | 0.7416 | 0.8018    | 0.7876 |
| 0.1241        | 7.0   | 224  | 0.1313          | 0.9683   | 0.9672 | 0.9626    | 0.9739 |
| 0.0454        | 8.0   | 256  | 0.0824          | 0.9802   | 0.9794 | 0.9760    | 0.9837 |
| 0.0403        | 9.0   | 288  | 0.0715          | 0.9802   | 0.9794 | 0.9760    | 0.9837 |
| 0.0241        | 10.0  | 320  | 0.1079          | 0.9722   | 0.9712 | 0.9670    | 0.9771 |


### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1