crossdelenna/wav2vec2-base-en-in-lm

wav2vec2-base-en-in

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

• eval_loss: 0.5270
• eval_wer: 0.2229
• eval_runtime: 96.3849
• eval_samples_per_second: 8.819
• eval_steps_per_second: 1.11
• epoch: 30.09
• step: 9600

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: 0.0001
• train_batch_size: 8
• 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: 1000
• num_epochs: 600
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.17.0
• Pytorch 1.12.0+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1