wav2vec2-large-xls-r-300m-hindi-colab-ysv

This model was trained from scratch on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.1359
• eval_wer: 0.5396
• eval_runtime: 278.3234
• eval_samples_per_second: 10.588
• eval_steps_per_second: 1.326
• epoch: 18.21
• step: 6800

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: 6
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 12
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 30

Framework versions

• Transformers 4.30.0
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.13.3