libri-alpha-0-Temp-1-att

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

• eval_loss: 0.0402
• eval_wer: 0.1219
• eval_runtime: 180.5285
• eval_samples_per_second: 14.973
• eval_steps_per_second: 7.489
• epoch: 1.79
• step: 800

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.2
• num_epochs: 20
• mixed_precision_training: Native AMP

Framework versions

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