hindi

This model was trained from scratch on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.8079
• eval_wer: 0.4951
• eval_runtime: 225.6871
• eval_samples_per_second: 12.823
• eval_steps_per_second: 1.604
• epoch: 1.71
• step: 1400

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: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 700
• num_epochs: 10
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.27.3
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2