---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: apac_5sents_XLS-R_2_1e-6
  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_2_1e-6

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: 267.7123
- Wer: 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: 1e-06
- 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: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:---:|
| 277.1571      | 5.54   | 100  | 267.0546        | 1.0 |
| 276.4313      | 11.11  | 200  | 261.9242        | 1.0 |
| 265.9415      | 16.65  | 300  | 250.8011        | 1.0 |
| 238.6939      | 22.22  | 400  | 203.5241        | 1.0 |
| 174.4503      | 27.76  | 500  | 144.1427        | 1.0 |
| 133.3724      | 33.32  | 600  | 115.6477        | 1.0 |
| 111.8372      | 38.86  | 700  | 101.5777        | 1.0 |
| 100.9788      | 44.43  | 800  | 93.3811         | 1.0 |
| 93.1826       | 49.97  | 900  | 88.1119         | 1.0 |
| 88.9464       | 55.54  | 1000 | 84.3092         | 1.0 |
| 85.3244       | 61.11  | 1100 | 81.3484         | 1.0 |
| 81.8194       | 66.65  | 1200 | 78.9506         | 1.0 |
| 80.4364       | 72.22  | 1300 | 76.9131         | 1.0 |
| 77.8947       | 77.76  | 1400 | 75.1301         | 1.0 |
| 76.6954       | 83.32  | 1500 | 73.5633         | 1.0 |
| 74.5509       | 88.86  | 1600 | 72.1455         | 1.0 |
| 73.6445       | 94.43  | 1700 | 70.8411         | 1.0 |
| 72.1876       | 99.97  | 1800 | 69.6471         | 1.0 |
| 71.3292       | 105.54 | 1900 | 68.5407         | 1.0 |
| 70.0705       | 111.11 | 2000 | 67.4980         | 1.0 |
| 68.7978       | 116.65 | 2100 | 66.5158         | 1.0 |
| 68.0348       | 122.22 | 2200 | 65.5796         | 1.0 |
| 66.8713       | 127.76 | 2300 | 64.6976         | 1.0 |
| 66.16         | 133.32 | 2400 | 63.8526         | 1.0 |
| 65.2028       | 138.86 | 2500 | 63.0523         | 1.0 |
| 64.6085       | 144.43 | 2600 | 62.2911         | 1.0 |
| 63.5373       | 149.97 | 2700 | 61.5736         | 1.0 |
| 63.2075       | 155.54 | 2800 | 60.8822         | 1.0 |
| 62.4467       | 161.11 | 2900 | 60.2360         | 1.0 |
| 61.4208       | 166.65 | 3000 | 59.6212         | 1.0 |
| 61.1933       | 172.22 | 3100 | 59.0409         | 1.0 |
| 60.4399       | 177.76 | 3200 | 58.4939         | 1.0 |
| 60.0438       | 183.32 | 3300 | 57.9786         | 1.0 |
| 59.1202       | 188.86 | 3400 | 57.4928         | 1.0 |
| 59.1382       | 194.43 | 3500 | 57.0438         | 1.0 |
| 58.3211       | 199.97 | 3600 | 56.6216         | 1.0 |
| 58.1737       | 205.54 | 3700 | 56.2324         | 1.0 |
| 57.8397       | 211.11 | 3800 | 55.8701         | 1.0 |
| 57.1469       | 216.65 | 3900 | 55.5402         | 1.0 |
| 57.0738       | 222.22 | 4000 | 55.2410         | 1.0 |
| 56.6554       | 227.76 | 4100 | 54.9684         | 1.0 |
| 56.6029       | 233.32 | 4200 | 54.7281         | 1.0 |
| 55.9671       | 238.86 | 4300 | 54.5120         | 1.0 |
| 56.0056       | 244.43 | 4400 | 54.3272         | 1.0 |
| 55.7506       | 249.97 | 4500 | 54.1668         | 1.0 |
| 55.7896       | 255.54 | 4600 | 54.0354         | 1.0 |
| 55.6986       | 261.11 | 4700 | 53.9389         | 1.0 |
| 55.3473       | 266.65 | 4800 | 53.8633         | 1.0 |
| 55.4997       | 272.22 | 4900 | 53.8202         | 1.0 |
| 55.2924       | 277.76 | 5000 | 53.8053         | 1.0 |


### Framework versions

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