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pratyush_whisper_small_distil_libri360_12_to_6_batch_4_epoch_100_updated

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

• eval_loss: 5.6594
• eval_wer: 87.1439
• eval_runtime: 1796.3023
• eval_samples_per_second: 3.01
• eval_steps_per_second: 3.01
• epoch: 8.91
• step: 900

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: 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: cosine_with_restarts
• lr_scheduler_warmup_ratio: 0.2
• num_epochs: 100
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.24.0
• Pytorch 1.12.1
• Datasets 2.7.0
• Tokenizers 0.11.0