---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: apac_5sents_XLS-R_5e-5
  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. -->

# apac_5sents_XLS-R_5e-5

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6693
- Wer: 0.6607

## 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
- 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
- training_steps: 20000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 98.1859       | 11.11  | 200  | 75.6610         | 1.0    |
| 66.0186       | 22.22  | 400  | 52.7194         | 1.0    |
| 40.6772       | 33.32  | 600  | 26.2206         | 1.0    |
| 16.4279       | 44.43  | 800  | 8.3596          | 1.0    |
| 6.1402        | 55.54  | 1000 | 5.3091          | 1.0    |
| 4.733         | 66.65  | 1200 | 4.5618          | 1.0    |
| 3.4737        | 77.76  | 1400 | 3.4971          | 1.0    |
| 1.6412        | 88.86  | 1600 | 2.7199          | 0.9219 |
| 0.8524        | 99.97  | 1800 | 2.0043          | 0.9241 |
| 0.6227        | 111.11 | 2000 | 2.1371          | 0.9330 |
| 0.4834        | 122.22 | 2200 | 1.6094          | 0.9196 |
| 0.3944        | 133.32 | 2400 | 2.2378          | 0.9531 |
| 0.2975        | 144.43 | 2600 | 1.7241          | 0.8862 |
| 0.194         | 155.54 | 2800 | 1.8496          | 0.7679 |
| 0.1211        | 166.65 | 3000 | 1.4915          | 0.6808 |
| 0.0866        | 177.76 | 3200 | 1.9463          | 0.6429 |
| 0.0696        | 188.86 | 3400 | 2.0191          | 0.5737 |
| 0.0563        | 199.97 | 3600 | 2.4305          | 0.6562 |
| 0.0461        | 211.11 | 3800 | 1.6485          | 0.6138 |
| 0.0413        | 222.22 | 4000 | 2.2569          | 0.6272 |


### Framework versions

- Transformers 4.26.1
- Pytorch 2.0.1+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3