---
language:
- tw
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_17_0
- mms
- generated_from_trainer
datasets:
- common_voice_17_0
metrics:
- wer
model-index:
- name: wav2vec2-twi-adapter
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: MOZILLA-FOUNDATION/COMMON_VOICE_17_0 - TW
      type: common_voice_17_0
      config: tw
      split: None
      args: 'Config: tw, Training split: train, Eval split: validation+test'
    metrics:
    - name: Wer
      type: wer
      value: 1.0
---

<!-- 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-twi-adapter

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_17_0 - TW dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4092
- Wer: 1.0
- Cer: 1.0

## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 30.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer | Cer |
|:-------------:|:-------:|:----:|:---------------:|:---:|:---:|
| No log        | 11.1111 | 50   | 5.8930          | 1.0 | 1.0 |
| No log        | 22.2222 | 100  | 2.4281          | 1.0 | 1.0 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.0.0
- Datasets 2.19.1
- Tokenizers 0.19.1