---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: kids_phoneme_sm_model
  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. -->

# kids_phoneme_sm_model

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 15.8911
- Cer: 1.0

## 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: 4e-59
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Cer |
|:-------------:|:-----:|:-----:|:---------------:|:---:|
| 6.5005        | 0.74  | 500   | 15.8911         | 1.0 |
| 6.3865        | 1.48  | 1000  | 15.8911         | 1.0 |
| 6.3822        | 2.22  | 1500  | 15.8911         | 1.0 |
| 6.4251        | 2.96  | 2000  | 15.8911         | 1.0 |
| 6.3836        | 3.7   | 2500  | 15.8911         | 1.0 |
| 6.4552        | 4.44  | 3000  | 15.8911         | 1.0 |
| 6.4287        | 5.19  | 3500  | 15.8911         | 1.0 |
| 6.4304        | 5.93  | 4000  | 15.8911         | 1.0 |
| 6.375         | 6.67  | 4500  | 15.8911         | 1.0 |
| 6.5434        | 7.41  | 5000  | 15.8911         | 1.0 |
| 6.319         | 8.15  | 5500  | 15.8911         | 1.0 |
| 6.4693        | 8.89  | 6000  | 15.8911         | 1.0 |
| 6.4585        | 9.63  | 6500  | 15.8911         | 1.0 |
| 6.4795        | 10.37 | 7000  | 15.8911         | 1.0 |
| 6.393         | 11.11 | 7500  | 15.8911         | 1.0 |
| 6.3489        | 11.85 | 8000  | 15.8911         | 1.0 |
| 6.4511        | 12.59 | 8500  | 15.8911         | 1.0 |
| 6.3378        | 13.33 | 9000  | 15.8911         | 1.0 |
| 6.5094        | 14.07 | 9500  | 15.8911         | 1.0 |
| 6.3643        | 14.81 | 10000 | 15.8911         | 1.0 |
| 6.5079        | 15.56 | 10500 | 15.8911         | 1.0 |
| 6.4272        | 16.3  | 11000 | 15.8911         | 1.0 |
| 6.3937        | 17.04 | 11500 | 15.8911         | 1.0 |
| 6.3704        | 17.78 | 12000 | 15.8911         | 1.0 |
| 6.3797        | 18.52 | 12500 | 15.8911         | 1.0 |
| 6.5126        | 19.26 | 13000 | 15.8911         | 1.0 |
| 6.4111        | 20.0  | 13500 | 15.8911         | 1.0 |
| 6.3557        | 20.74 | 14000 | 15.8911         | 1.0 |
| 6.5705        | 21.48 | 14500 | 15.8911         | 1.0 |
| 6.3207        | 22.22 | 15000 | 15.8911         | 1.0 |
| 6.4664        | 22.96 | 15500 | 15.8911         | 1.0 |
| 6.4401        | 23.7  | 16000 | 15.8911         | 1.0 |
| 6.4136        | 24.44 | 16500 | 15.8911         | 1.0 |
| 6.5345        | 25.19 | 17000 | 15.8911         | 1.0 |
| 6.4097        | 25.93 | 17500 | 15.8911         | 1.0 |
| 6.2736        | 26.67 | 18000 | 15.8911         | 1.0 |
| 6.5474        | 27.41 | 18500 | 15.8911         | 1.0 |
| 6.3997        | 28.15 | 19000 | 15.8911         | 1.0 |
| 6.3997        | 28.89 | 19500 | 15.8911         | 1.0 |
| 6.5538        | 29.63 | 20000 | 15.8911         | 1.0 |


### Framework versions

- Transformers 4.30.1
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.13.3