transformers tensorboard safetensors 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: ft_0126_kor_eng-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ft_0126_kor_eng-1

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: 1.0609
- Cer: 0.2143

## 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: 8
- 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: 100
- num_epochs: 40
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 9.5689        | 2.44  | 100  | 6.7682          | 1.0    |
| 3.0585        | 4.88  | 200  | 4.9715          | 1.0    |
| 2.9664        | 7.32  | 300  | 4.7381          | 1.0    |
| 2.9563        | 9.76  | 400  | 4.3435          | 1.0    |
| 2.9441        | 12.2  | 500  | 3.8964          | 1.0    |
| 2.927         | 14.63 | 600  | 3.7284          | 1.0    |
| 2.9019        | 17.07 | 700  | 3.4735          | 1.0    |
| 2.7333        | 19.51 | 800  | 2.8455          | 0.9113 |
| 2.1073        | 21.95 | 900  | 1.8594          | 0.5217 |
| 1.488         | 24.39 | 1000 | 1.4387          | 0.3741 |
| 1.1468        | 26.83 | 1100 | 1.1822          | 0.2872 |
| 0.9639        | 29.27 | 1200 | 1.1472          | 0.2511 |
| 0.8441        | 31.71 | 1300 | 1.0706          | 0.2275 |
| 0.808         | 34.15 | 1400 | 1.0858          | 0.2239 |
| 0.6775        | 36.59 | 1500 | 1.0570          | 0.2136 |
| 0.6496        | 39.02 | 1600 | 1.0609          | 0.2143 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.13.0
- Tokenizers 0.15.0
