wav2vec2-large-xls-r-300m-tr-softkour

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.6249
• Wer: 0.6080

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: 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: 500
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
6.582	0.33	400	3.3382	0.9991
2.0467	0.67	800	0.8908	0.7406
0.8479	1.0	1200	0.6249	0.6080

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.2+cpu
• Datasets 2.18.0
• Tokenizers 0.15.2