wav2vec2-fine-tuned

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: 0.5748
• eval_wer: 0.3212
• eval_runtime: 104.0274
• eval_samples_per_second: 6.22
• eval_steps_per_second: 0.779
• epoch: 1.53
• step: 500

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: 30
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.37.0.dev0
• Pytorch 2.0.0
• Datasets 2.16.1.dev0
• Tokenizers 0.15.0