libri-smallw2v2-no-copy-mse-alpha-0.75-T-1-take-2

This model is a fine-tuned version of rohitp1/libri-smallw2v2-no-copy-mse-alpha-0.75-T-1 on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 221.7213
• eval_wer: 0.4782
• eval_runtime: 298.2644
• eval_samples_per_second: 9.062
• eval_steps_per_second: 0.285
• epoch: 66.0
• step: 23562

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.3
• num_epochs: 100
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.25.1
• Pytorch 1.12.1
• Datasets 2.8.0
• Tokenizers 0.13.2