ASR_Phimtailieu_WithLM

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.5235
• eval_wer: 0.2531
• eval_runtime: 570.9035
• eval_samples_per_second: 15.467
• eval_steps_per_second: 1.934
• epoch: 2.58
• step: 39000

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: 4.42184e-05
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 25
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.23.1
• Pytorch 1.12.1+cu113
• Datasets 2.6.1
• Tokenizers 0.13.1