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

Loss: 0.7816
Wer: 0.5792

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: 300
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.6588	0.82	200	2.9541	1.0
2.237	1.65	400	1.2580	0.8380
0.5734	2.47	600	0.7816	0.5792

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

vkamoisi/wav2vec2-large-xls-r-300m-dutch-fast-colab

wav2vec2-large-xls-r-300m-dutch-fast-colab

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

vkamoisi/
wav2vec2-large-xls-r-300m-dutch-fast-colab