Edit model card

wav2vec2-large-xls-r-300m-guarani-small

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: 0.4964
  • Wer: 0.5957

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: 0.0002
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 30
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
No log 6.65 100 1.1326 1.0
1.6569 13.32 200 0.5264 0.6478
1.6569 19.97 300 0.5370 0.6261
0.2293 26.65 400 0.4964 0.5957

Framework versions

  • Transformers 4.16.2
  • Pytorch 1.10.0+cu111
  • Datasets 1.18.3
  • Tokenizers 0.11.0
Downloads last month
12
Hosted inference API
or or
This model can be loaded on the Inference API on-demand.

Dataset used to train glob-asr/wav2vec2-large-xls-r-300m-guarani-small