This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

Loss: 3.8238
Wer: 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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
16.8337	2.93	400	3.8238	1.0

Framework versions

Transformers 4.35.2
Pytorch 1.10.0+cu113
Datasets 2.15.0
Tokenizers 0.15.0

peiyiwang89/wav2vec2-large-xls-r-300m-taiwanese-colab

wav2vec2-large-xls-r-300m-taiwanese-colab

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

peiyiwang89/
wav2vec2-large-xls-r-300m-taiwanese-colab