wav2vec2 large xls r 300m welsh This model is a fine tuned version of facebook/wav2vec2 xls r 300m on the MOZILLA FOUNDATION/COMMON VOICE 7 0 CY dataset. It achieves the following results on the evaluation set: Loss: 0.2650 Wer: 0.2702 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: 7e 05 train batch size: 32 eval batch size: 16 seed: 42 optimizer: Adam with betas=(0.9,0.999) and epsilon=1e 08 lr scheduler type: linear lr scheduler warmup steps: 3000 num epochs: 50.0 mixed precision training: Native AMP Training results Training Loss Epoch Step Validation Loss Wer : : : : : : : : : : 1.3454 8.2 3000 0.4926 0.5703 1.1202 16.39 6000 0.3529 0.3944 1.0058 24.59 9000 0.3143 0.3341 0.9287 32.79 12000 0.2896 0.2980 0.8849 40.98 15000 0.2727 0.2798 0.8665 49.18 18000 0.2662 0.2696 Framework versions Transformers 4.16.0.dev0 Pytorch 1.10.1+cu102 Datasets 1.18.3 Tokenizers 0.11.0
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy