---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-xls-r-300m-S2P-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-xls-r-300m-S2P-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: 137.7054
- Per: 2.2761
- Learning Rate: 0.0

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Per    | Rate |
|:-------------:|:------:|:----:|:---------------:|:------:|:----:|
| 138.8199      | 0.4292 | 200  | 137.7054        | 2.2721 | 0.0  |
| 135.2457      | 0.8584 | 400  | 137.7049        | 2.2730 | 0.0  |
| 135.098       | 1.2876 | 600  | 137.7052        | 2.2758 | 0.0  |
| 136.7798      | 1.7167 | 800  | 137.7055        | 2.2758 | 0.0  |
| 136.6869      | 2.1459 | 1000 | 137.7053        | 2.2768 | 0.0  |
| 135.4296      | 2.5751 | 1200 | 137.7052        | 2.2723 | 0.0  |
| 137.6503      | 3.0043 | 1400 | 137.7054        | 2.2761 | 0.0  |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3