subh_whisper_small_distil_libri360_12_to_10_batch_4_epoch_20

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subh_whisper_small_distil_libri360_12_to_10_batch_4_epoch_20

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

• eval_loss: 3609.3647
• eval_wer: 95.1950
• eval_runtime: 2080.4966
• eval_samples_per_second: 2.598
• eval_steps_per_second: 2.598
• epoch: 4.95
• 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: 0.002
• train_batch_size: 4
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 512
• total_train_batch_size: 2048
• 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 4.25.1
• Pytorch 1.12.1
• Datasets 2.8.0
• Tokenizers 0.13.2