wav2vec2-base-splitted-idrak-exp

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 3.3141
• eval_wer: 1.0
• eval_runtime: 17.0978
• eval_samples_per_second: 34.39
• eval_steps_per_second: 4.328
• epoch: 4.38
• step: 2600

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: 1e-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: 1000
• num_epochs: 10
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.20.1
• Pytorch 1.12.0+cu116
• Datasets 2.3.2
• Tokenizers 0.12.1