transformers pytorch wav2vec2 automatic-speech-recognition generated_from_trainer base_model:facebook/wav2vec2-xls-r-300m license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-large-xls-r-korean
  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-large-xls-r-korean

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: 0.5006
- Cer: 0.1178

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.3321        | 1.11  | 300  | 3.8704          | 1.0    |
| 1.6999        | 2.22  | 600  | 1.8098          | 0.3638 |
| 0.6728        | 3.33  | 900  | 0.7710          | 0.1967 |
| 0.4398        | 4.44  | 1200 | 0.5838          | 0.1568 |
| 0.3202        | 5.56  | 1500 | 0.5421          | 0.1468 |
| 0.2286        | 6.67  | 1800 | 0.4912          | 0.1312 |
| 0.161         | 7.78  | 2100 | 0.4931          | 0.1247 |
| 0.1436        | 8.89  | 2400 | 0.4953          | 0.1211 |
| 0.1213        | 10.0  | 2700 | 0.5006          | 0.1178 |


### Framework versions

- Transformers 4.33.2
- Pytorch 1.12.1+cu113
- Datasets 2.14.5
- Tokenizers 0.13.3
