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: 0.8550
Wer: 0.7388

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.5597	1.67	200	2.9421	1.0
2.78	3.33	400	1.9877	0.9990
1.1387	5.0	600	0.8550	0.7388

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Jana1994/wav2vec2-large-xls-r-300m-jana-colab_2

wav2vec2-large-xls-r-300m-jana-colab_2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Jana1994/
wav2vec2-large-xls-r-300m-jana-colab_2