wav2vec2-base-finetuned-ks

This model is a fine-tuned version of facebook/wav2vec2-base on the superb dataset. It achieves the following results on the evaluation set:

• eval_loss: 2.3769
• eval_accuracy: 0.6209
• eval_runtime: 91.7806
• eval_samples_per_second: 74.068
• eval_steps_per_second: 2.321
• epoch: 0.06
• step: 25

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: 3e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 5

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0+cu121
• Datasets 1.16.1
• Tokenizers 0.14.1