---
license: apache-2.0
tags:
- automatic-speech-recognition
- /workspace/data/hy/noizy_student_3/
- generated_from_trainer
model-index:
- name: ''
  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. -->

# 

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the /WORKSPACE/DATA/HY/NOIZY_STUDENT_3/ - NA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1726
- Wer: 0.2260
- Cer: 0.0405

## 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: 16
- eval_batch_size: 64
- seed: 842
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Cer    | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:------:|:---------------:|:------:|
| 1.331         | 7.02  | 400  | 0.0832 | 0.3281          | 0.4617 |
| 0.9968        | 14.04 | 800  | 0.0528 | 0.2114          | 0.3115 |
| 0.9367        | 21.05 | 1200 | 0.0481 | 0.1928          | 0.2771 |
| 0.9066        | 28.07 | 1600 | 0.0477 | 0.1905          | 0.2728 |
| 0.869         | 35.09 | 2000 | 0.0449 | 0.1817          | 0.2564 |
| 0.8319        | 42.11 | 2400 | 0.0433 | 0.1810          | 0.2490 |
| 0.8113        | 49.12 | 2800 | 0.0421 | 0.1769          | 0.2404 |
| 0.7624        | 56.14 | 3200 | 0.0432 | 0.1838          | 0.2443 |
| 0.7328        | 63.16 | 3600 | 0.0415 | 0.1756          | 0.2303 |
| 0.7209        | 70.18 | 4000 | 0.1726 | 0.2260          | 0.0405 |


### Framework versions

- Transformers 4.17.0.dev0
- Pytorch 1.10.2
- Datasets 1.18.4.dev0
- Tokenizers 0.11.0