xlsr53-ptbr-2

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53-portuguese on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

• Loss: 3.9879
• Wer: 0.9950

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: 1e-06
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
12.583	1.0	1250	8.3731	0.9930
8.4082	2.0	2500	6.7542	0.9977
9.7515	3.0	3750	6.4559	1.0044
10.5866	4.0	5000	6.1102	1.0047
9.6095	5.0	6250	5.5412	1.0012
7.9527	6.0	7500	4.7235	0.9961
6.1536	7.0	8750	4.2559	0.9971
6.3449	8.0	10000	4.1116	0.9956
5.4191	9.0	11250	4.0244	0.9955
4.8775	10.0	12500	3.9879	0.9951

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0