---
library_name: transformers
license: apache-2.0
base_model: w11wo/wav2vec2-xls-r-300m-korean
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: asr_mind_mode
  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. -->

# asr_mind_mode

This model is a fine-tuned version of [w11wo/wav2vec2-xls-r-300m-korean](https://huggingface.co/w11wo/wav2vec2-xls-r-300m-korean) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7565
- Wer: 4.3843

## 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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 3.8183        | 0.1667 | 5    | 2.7565          | 4.3843 |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1